In accordance with the Fiscal Year (FY) 2027 Appropriation Act Language \"for transfer to appropriations available to the Department of War for military personnel of the reserve components serving under the provisions of title 10 and title 32, United States Code; operation and maintenance; for procurement; and for research, development, test, and evaluation\" below is the Department of War projected transfer estimates by Public Law and Fiscal Year.
" }, "Uploads": [] }, { "Name": "PBA19 Public Law", "Description": "", "Type": "Grid", "Code": "Pba19PublicLaw", "Columns": [ { "Code": "RowText", "Text": "Public Law", "Group": "", "Level": 0, "Order": 1.0, "Type": "text" }, { "Code": "FyPyEnta", "Text": "FY 2025\\n Enacted", "Group": "", "Level": 0, "Order": 2.0, "Type": "numeric" }, { "Code": "FyCyEsti", "Text": "FY 2026\\n Enacted", "Group": "", "Level": 0, "Order": 3.0, "Type": "numeric" }, { "Code": "FyByEsti", "Text": "FY 2027\\n Request", "Group": "", "Level": 0, "Order": 4.0, "Type": "numeric" } ], "Rows": [ { "Code": "DEPS_MiliPers", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Military Personnel", "NarrativeData": null }, { "ColumnCode": "FyPyEnta", "Type": "numeric", "Value": "366,103", "NarrativeData": null }, { "ColumnCode": "FyCyEsti", "Type": "numeric", "Value": "373,422", "NarrativeData": null }, { "ColumnCode": "FyByEsti", "Type": "numeric", "Value": "185,855", "NarrativeData": null } ] }, { "Code": "DEPS_OperAndMain", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Operation and Maintenance", "NarrativeData": null }, { "ColumnCode": "FyPyEnta", "Type": "numeric", "Value": "736,714", "NarrativeData": null }, { "ColumnCode": "FyCyEsti", "Type": "numeric", "Value": "767,545", "NarrativeData": null }, { "ColumnCode": "FyByEsti", "Type": "numeric", "Value": "724,310", "NarrativeData": null } ] }, { "Code": "DEPS_Proc", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Procurement", "NarrativeData": null }, { "ColumnCode": "FyPyEnta", "Type": "numeric", "Value": "6,130", "NarrativeData": null }, { "ColumnCode": "FyCyEsti", "Type": "numeric", "Value": "6,212", "NarrativeData": null }, { "ColumnCode": "FyByEsti", "Type": "numeric", "Value": "6,330", "NarrativeData": null } ] }, { "Code": "DEPS_ReseDeveTestAndEval", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Research, Development, Test, and Evaluation", "NarrativeData": null }, { "ColumnCode": "FyPyEnta", "Type": "numeric", "Value": "1,489", "NarrativeData": null }, { "ColumnCode": "FyCyEsti", "Type": "numeric", "Value": "1,496", "NarrativeData": null }, { "ColumnCode": "FyByEsti", "Type": "numeric", "Value": "1,507", "NarrativeData": null } ] }, { "Code": "DEPS_Tota", "Type": "total", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Total", "NarrativeData": null }, { "ColumnCode": "FyPyEnta", "Type": "numeric", "Value": "1,110,436", "NarrativeData": null }, { "ColumnCode": "FyCyEsti", "Type": "numeric", "Value": "1,148,675", "NarrativeData": null }, { "ColumnCode": "FyByEsti", "Type": "numeric", "Value": "918,002", "NarrativeData": null } ] } ] }, { "Name": "Footnote 2", "Description": "", "Type": "Toggle", "ToggleOrder": "uploadtext", "Text": { "Enccoding": "HTML", "Value": "
The FY 2027 request for Drug Interdiction and Counter-Drug Activities, Defense includes $918,002 thousand of discretionary and $0 thousand of mandatory for a total of $918,002 thousand to directly support our program.
The FY 2026 spend plan amount for Drug Interdiction and Counter-Drug Activities, Defense includes $1,148,675 thousand of discretionary and $0 thousand of mandatory for a total of $1,148,675 thousand to directly support our program.
The FY 2025 spend plan amount for Drug Interdiction and Counter-Drug Activities, Defense includes $1,110,436 thousand of discretionary and $0 thousand of mandatory for a total of $1,110,436 thousand to directly support our program.
The FY 2025 Enacted column reflects amounts transferred from the Drug Interdiction and Counter-Drug Activities, Defense appropriation, a Central Transfer Account, to the Military Departments and Defense Agencies.
" }, "Uploads": [] }, { "Name": "Operations Financed", "Description": "", "Type": "Toggle", "ToggleOrder": "text", "Text": { "Enccoding": "HTML", "Value": "
Introduction and Overview
A. Requested Fiscal Year 2027 Appropriation Act Language
For drug interdiction and counter-drug activities of the Department of War, for transfer to appropriations available to the Department of War for military personnel of the reserve components serving under the provisions of title 10 and title 32, United States Code; operation and maintenance; for procurement; and for research, development, test, and evaluation, $918,002,000: Provided, That the funds appropriated under this heading shall be available for obligation for the same time period and for the same purpose as the appropriation to which transferred: Provided further, That upon a determination that all or part of the funds transferred from this appropriation are not necessary for the purposes provided herein, such amounts may be transferred back to this appropriation: Provided further, That the transfer authority provided under this heading is in addition to any other transfer authority contained elsewhere in this Act. Provided further, That funds appropriated under this heading may be used to support a new start program or project only after written prior notification to the Committees on Appropriations of the House of Representatives and the Senate.
B. Description of Operations Financed
Funds the Department of War’s Drug Interdiction and Counter-Drug Activities, Defense appropriation’s four budget activities: Budget Activity 01) Counter-Narcotics Support, Budget Activity 02) Drug Demand Reduction Program, Budget Activity 03) National Guard Counter-Drug Program, and Budget Activity 04) National Guard Counter-Drug Schools.
Counter-Narcotics Support budget activities includes activities such as detection and monitoring, intelligence analysis, and small-scale construction aimed at the national priority to identify, disrupt, and degrade those transnational criminal networks that pose the greatest threats to U.S. national security.
Drug Demand Reduction Program budget activities include prevention, education, and outreach to ensure the dangers of drug abuse and misuse within the Department of War are understood, prevented, identified, and treated to keep the fighting force at the highest levels of readiness.
National Guard Counter-Drug Program budget activities support State National Guard assistance to Federal, State, tribal, and local law enforcement agencies, and community-based organizations in efforts to disrupt and degrade illicit drug production and trafficking within the United States.
National Guard Counter-Drug Schools budget activities fund the operation of five National Guard Counter-Drug schools which provide Counter-Drug and related counter transnational organized crime courses of instruction to Federal, State, local, and community-based organizations from the 50 states, four territories, and the District of Columbia.
The funds are appropriated to the Department’s Central Transfer Account titled \"Drug Interdiction and Counter-Drug Activities, Defense\". The Central Transfer Account provides for centralized budgeting and oversight while allowing funds to be executed across the entire range of Department of War Military Departments, Combatant Commands, and Combat Support Agencies. The account plays a critical role in strengthening the Department’s commitment to securing the nation’s borders and aligning with Federal partners to defend our territorial integrity. Through strategic support and joint operations, it helps repel and disrupt the flow of illicit drugs threatening the Homeland and undermining regional stability.
Under the authority contained in Section 1022 of the FY2004 National Defense Authorization Act, as amended, Department of War components funded by the Central Transfer Account may also, under certain conditions, support other departments and agencies working to counter terrorism and transnational organized crime without a nexus to drug trafficking. Although activities conducted under Section 1022 represent a small part of the Department’s overall Counter-Drug effort, this authority is used to enable significant effects against the operations and finances of terrorists and transnational organized crime groups that threaten the national security of the United States.
C. Global Threats and Trends
The National Defense Strategy directs the Department of War to defend the Homeland, including by sealing our borders and repelling forms of invasion including narcotics trafficking. The Department of War Counter-Drug activities implement Executive Orders 14157 (“Designating Cartels and Other Organizations as Foreign Terrorist Organizations and Specially Designated Global Terrorists”) and 14167 (“Clarifying the Military’s Role in Protecting the Territorial Integrity of the United States”). Drug trafficking, transnational organized crime (to include criminal groups designated as Foreign Terrorist Organizations), and other illicit threat networks continue to pose a serious and persistent threat to the security, health, and safety of the American people. Illicit threat networks include terrorists, criminals, proliferators, and adversary states that present unprecedented asymmetrical threats to U.S. interests at home and abroad. Only through a unified effort with interagency and foreign partners can we address these complex challenges.
According to provisional data from the Centers for Disease Control and Prevention National Center for Health Statistics as of March 2026, predicted drug overdose deaths in the United States have continued their significant downward trend. For the 12-month period ending in October 2025, the Centers for Disease Control and Prevention latest Vital Statistics Rapid Release (published March 11, 2026) predict approximately 71,542 overdose deaths, a decline of 17.1% compared to the previous year. This follows an even sharper drop in 2024, which saw a record 24% annual decline (totaling roughly 79,384 deaths), marking a definitive shift after two decades of rising fatalities. While synthetic opioids—primarily fentanyl—and psychostimulants like methamphetamines remain the leading drivers of these trends, deaths involving synthetic opioids saw their first major sustained decrease during this period. Health officials attribute the \"unprecedented\" progress to expanded naloxone distribution, better access to medication-assisted treatment, and evolving shifts in the illicit drug supply.
The Sinaloa Cartel and Jalisco New Generation Cartel, now designated as Foreign Terrorist Organizations, are the primary groups producing illicit synthetic drugs and trafficking these drugs into the United States. These and other cartels produce illicit drugs in clandestine laboratories in Mexico using precursor chemicals and pill presses sourced from companies in China and India. Much of the fentanyl is pressed into pills resembling legitimate medication and sold to customers in the United States through social media platforms and messaging applications. These cartels rely on business relationships with drug trafficking organizations in the United States that handle the distribution and sale of drugs, and with Chinese money laundering networks to move drug money quickly and consistently from the United States to Mexico. The cartels not only fuel the drug poisoning deaths in the United States but also commit egregious acts of violence, threatening the security and stability of our partners across the Western Hemisphere.
China’s semi-permissive legal environment allows it to remain a global hub of illicit activities. Specifically, China’s role in permitting or enabling drug trafficking and illicit activities, including economic crimes, money laundering, illicit drug trafficking, wildlife trafficking, trafficking in natural resources, and the illicit procurement of sensitive technologies, has only grown in recent years. China has also proven adept at exploiting the instability and insecurity created by transnational organized crime as it seeks to increase its influence around the world. India’s role as a source for precursor chemicals has grown in recent years as criminal networks exploit India’s underregulated chemical industry. Iran and its affiliated networks blend state, economic, criminal, and cyber means to achieve its national objectives. Russian and other Eurasian transnational criminal organizations continue to thrive within and outside their borders, including in the United States. The Russian government has shown a capacity and willingness to use criminal means to achieve Russia’s global objectives.
Terrorist organizations and violent extremist organizations remain a threat to U.S. national security. Terrorists such as Hezbollah, Islamic State of Iraq and Syria, al-Shabaab, and al-Qaeda-affiliated groups such as Jama'at Nusrat al-Islam wal-Muslimin in the Sahel often engage in criminal activities to fund their attacks, leverage criminal facilitators to move weapons and people, and navigate the global financial system using the same methodologies as transnational criminal organizations such as money laundering and informal value transfers.
Given the significant responsibilities of our military service members and civilian personnel, deterring and detecting drug abuse, and ensuring a drug-free workplace are essential to maintaining Department of War readiness. As illegal and prescription drugs have become increasingly available within our communities and more states legalize marijuana, a top Department priority is to resource responsive and effective deterrence programs to prevent illegal drug use and prescription drug misuse by the workforce.
D. Strategic Objectives
The Department's statutory mission to detect and monitor aerial and maritime transit of illicit drugs toward the United States remains a priority. By performing this mission, the Department of War helps secure the homeland by deterring, disrupting, and degrading potential threats before they reach the United States. This includes supporting interagency and international efforts to target transnational criminal organizations at their source and building international partnerships to prevent transnational threat networks from undermining regional stability and threatening U.S. interests. The priorities identified below address a range of functional and regional threats, including longstanding challenges posed by illicit drug trafficking, other forms of transnational organized crime, and transnational terrorism financed by illicit means. For some activities, depending on the nature of the activity and the authority used, the Department of War may have a lead or supporting role.
The goal of the Department of War Counter-Drug program is to disrupt and degrade the production and trafficking of illicit drugs and precursors, with a primary focus on defending the U.S. southern border and maritime approaches. Counter-Drug funded components should use the following priorities as a guide when developing and executing operations, activities, and investments.
These priorities support the Administration’s Drug Policy Priorities, the National Defense Strategy, and Department of War key responsibilities: protect the homeland and guarantee the security of the nation’s citizens and territory; enable United States interagency counterparts; and prioritize assistance to partners who are aligned with United States interests.
[1] Temporarily interrupt or reduce the effectiveness or efficiency of an illicit network or activity e.g., the bulk transportation of illicit drugs or other contraband, chemical precursors, the financial proceeds of illicit trade, the detention, arrest, or seizure of suspects and evidentiary items.
[2] Temporarily reduce the effectiveness or efficiency of drug trafficking and transnational criminal organizations systems, efforts, or means. Drug trafficking and transnational criminal organizations are unable to function as a global organization and regress into groups whose expansion is held in check by local and regional security forces, law enforcement, or other element of national power.
E. Drug Interdiction and Counter-Drug Activities, Defense Appropriation and Program Management Background
Since Fiscal Year 1989, the Department of War Drug Interdiction and Counter-Drug Activities, Defense appropriation has been the principal means to finance the Department’s Counter-Drug and Drug Demand Reduction activities. The funds are appropriated to the Department’s Counter-Drug Central Transfer Account, which provides for centralized budgeting and oversight while allowing funds to be executed across the entire range of the Department of War Counter-Drug funded components.
In accordance with 31 U.S.C. §1105(a)(26) and 21 U.S.C. §1703(c), this budget justification describes and provides a consolidated view of Department of War contributions to the National Drug Control Strategy and various Executive Orders executed under this appropriation.
The Deputy Assistant Secretary of War for Counternarcotics and Stabilization Policy, with the oversight of the Assistant Secretary of War for Special Operations and Low-Intensity Conflict, and with direction from the Under Secretary of War for Policy, provides policy guidance and oversight, resource allocation, and program assessment functions for the Department’s Counter-Drug, Counter Transnational Organized Crime[3], and Counter Threat Finance[4] activities.
This portfolio includes resources budgeted under Budget Activity 01, Counter-Narcotics Support; Budget Activity 03, National Guard Counter-Drug Program; and Budget Activity 04, National Guard Counter-Drug Schools Program.
For the Drug Demand Reduction Program, the Office of Drug Demand Reduction, by direction of the Executive Director for Force Resiliency, and with oversight by the Under Secretary of War for Personnel and Readiness, provides policy oversight and guidance, resource allocation, and reviews and monitors the Combatant Commands, Military Departments, and Combat Support Agencies program execution and effectiveness. Drug Demand Reduction programs are mandated by Executive Order 12564, 10 U.S.C. §978, other guidance contained in Department of War Directives and Instructions, and the Federal Register. This portfolio includes resources budgeted under Budget Activity 02, Drug Demand Reduction Program.
Resources requested within Budget Activities 01, 03, and 04 of the Drug Interdiction and Counter-Drug Activities appropriation are aligned to priorities detailed in Executive Order 14157 “Designating Cartels And Other Organizations As Foreign Terrorist Organizations And Specially Designated Global Terrorists,” Executive Order 14159 “Protecting the American People Against Invasion,” Executive Order, 14167, \"Clarifying the Military's Role in Protecting the Territorial Integrity of the United States,\" the National Defense Strategy, and other national-level strategy and guidance documents.
These resources also support requirements presented by the Combatant Commands, Military Departments, and Combat Support Agencies. The Deputy Assistant Secretary of War for Counternarcotics and Stabilization Policy validates requirements on a recurrent basis via an annual planning, programming, and budgeting process. Each program is reviewed and evaluated to ensure alignment with the evolving threat environment, Administration priorities, the Department’s strategic objectives, Combatant Commands mission requirements, adherence to legislative authorities, and policy guidance.
______________________________
[1] Temporarily interrupt or reduce the effectiveness or efficiency of an illicit network or activity e.g., the bulk transportation of illicit drugs or other contraband, chemical precursors, the financial proceeds of illicit trade, the detention, arrest, or seizure of suspects and evidentiary items.
[2] Temporarily reduce the effectiveness or efficiency of drug trafficking and transnational criminal organizations systems, efforts, or means. Drug trafficking and transnational criminal organizations are unable to function as a global organization and regress into groups whose expansion is held in check by local and regional security forces, law enforcement, or other element of national power.
[3] Counter-Transnational Organized Crime: Activities to detect, monitor, disrupt, interdict, or degrade transnational criminal organizations and networks trafficking in, or deriving support or resources from, illicit drugs, weapons, natural resources, wildlife, or people that threaten United States interests or cause instability to regional partners.
[4] Counter Threat Finance: Activities conducted to deny, disrupt, destroy, or defeat the generation, storage, movement, and use of assets to fund activities that support an adversary’s ability to negatively affect United States interests.
" }, "Uploads": [] }, { "Name": "Contact Info", "Description": "", "Type": "Contact Info", "ContactName": "No Name Provided", "PhoneNumber": "No Phone Number Provided", "PreparedDate": "No Prepared Date Provided" }, { "Name": "Overall Assessment", "Type": "Toggle", "Description": "", "MissingExtraData": "This component has a generated word doc, but no json doc was found" }, { "Name": "Upload File", "Type": "Toggle", "Description": "", "MissingExtraData": "This component has a generated word doc, but no json doc was found" } ] } ] } ] } }, { "Metadata": { "SourceSystem": "EAS", "ServiceAgencyAcronym": "CNSP", "ServiceAgencyName": "Drug Interdiction and Counter-Drug Activities, Defense", "BudgetYear": "2026", "BudgetCycle": "PB", "SubmissionDate": "April 2026", "AppropriationNumber": "0105D" }, "GeneratedOutput": { "Name": "O-1 ", "Type": "Exhibit", "Description": "Operation and Maintenance Funding by Budget Activity, Activity Group, Subactivity Group", "Code": "DEPSO1", "Children": [ { "Name": "O-1 Grid (calcs)", "Description": "", "Type": "Grid", "Code": "CNSPO1", "Columns": [ { "Code": "BudgActi", "Text": "", "Group": "", "Level": 1, "Order": 9.0, "Type": "text" }, { "Code": "Appn", "Text": "APPN", "Group": "", "Level": 0, "Order": 1.0, "Type": "text" }, { "Code": "Ba", "Text": "BA", "Group": "", "Level": 0, "Order": 2.0, "Type": "text" }, { "Code": "Ag", "Text": "AG", "Group": "", "Level": 0, "Order": 3.0, "Type": "text" }, { "Code": "Sag", "Text": "SAG", "Group": "", "Level": 0, "Order": 4.0, "Type": "text" }, { "Code": "RowText", "Text": "Title", "Group": "", "Level": 0, "Order": 5.0, "Type": "text" }, { "Code": "Py", "Text": "FY 2025 \\n Enacted", "Group": "", "Level": 0, "Order": 6.0, "Type": "numeric" }, { "Code": "Cy", "Text": "FY 2026 \\n Enacted", "Group": "", "Level": 0, "Order": 7.0, "Type": "numeric" }, { "Code": "By1", "Text": "FY 2027 \\n Request", "Group": "", "Level": 0, "Order": 8.0, "Type": "numeric" } ], "Rows": [ { "Code": "CNSP_CounNarcSupp", "Type": "data", "Cells": [ { "ColumnCode": "Appn", "Type": "text", "Value": "0105D", "NarrativeData": null }, { "ColumnCode": "Ba", "Type": "text", "Value": "BA01", "NarrativeData": null }, { "ColumnCode": "Ag", "Type": "text", "Value": "010", "NarrativeData": null }, { "ColumnCode": "Sag", "Type": "text", "Value": "1FU1", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "Counter-Narcotics Support", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "653,702", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "678,737", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "658,191", "NarrativeData": null } ] }, { "Code": "CNSP_DrugDemaReduProg", "Type": "data", "Cells": [ { "ColumnCode": "Appn", "Type": "text", "Value": "0105D", "NarrativeData": null }, { "ColumnCode": "Ba", "Type": "text", "Value": "BA02", "NarrativeData": null }, { "ColumnCode": "Ag", "Type": "text", "Value": "010", "NarrativeData": null }, { "ColumnCode": "Sag", "Type": "text", "Value": "2FU1", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "Drug Demand Reduction Program", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "135,567", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "134,938", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "135,745", "NarrativeData": null } ] }, { "Code": "CNSP_NatiGuarCounDrugProg", "Type": "data", "Cells": [ { "ColumnCode": "Appn", "Type": "text", "Value": "0105D", "NarrativeData": null }, { "ColumnCode": "Ba", "Type": "text", "Value": "BA03", "NarrativeData": null }, { "ColumnCode": "Ag", "Type": "text", "Value": "010", "NarrativeData": null }, { "ColumnCode": "Sag", "Type": "text", "Value": "3FU1", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "National Guard Counter-Drug Program", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "295,000", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "305,000", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "117,418", "NarrativeData": null } ] }, { "Code": "CNSP_NatiGuarCounDrugScho", "Type": "data", "Cells": [ { "ColumnCode": "Appn", "Type": "text", "Value": "0105D", "NarrativeData": null }, { "ColumnCode": "Ba", "Type": "text", "Value": "BA04", "NarrativeData": null }, { "ColumnCode": "Ag", "Type": "text", "Value": "010", "NarrativeData": null }, { "ColumnCode": "Sag", "Type": "text", "Value": "4FU1", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "National Guard Counter-Drug Schools", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "26,167", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "30,000", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "6,648", "NarrativeData": null } ] }, { "Code": "CNSP_TotaDrugInteAndCounDrugActiDefe", "Type": "total", "Cells": [ { "ColumnCode": "Appn", "Type": "text", "Value": "", "NarrativeData": null }, { "ColumnCode": "Ba", "Type": "text", "Value": "", "NarrativeData": null }, { "ColumnCode": "Ag", "Type": "text", "Value": "", "NarrativeData": null }, { "ColumnCode": "Sag", "Type": "text", "Value": "", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "TOTAL Drug Interdiction and Counter-Drug Activities, Defense", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "1,110,436", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "1,148,675", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "918,002", "NarrativeData": null } ] } ] }, { "Name": "O-1 Footnote", "Description": "", "Type": "Toggle", "ToggleOrder": "text", "Text": { "Enccoding": "HTML", "Value": "
___________________________
The FY 2025 Enacted column reflects amounts transferred from the Drug Interdiction and Counter-Drug Activities, Defense appropriation, a Central Transfer Account, to the Military Departments and Defense Agencies.
" }, "Uploads": [] }, { "Name": "O-1 Grid", "Type": "Grid", "Description": "", "MissingExtraData": "This component has a generated word doc, but no json doc was found" } ] } }, { "Metadata": { "SourceSystem": "EAS", "ServiceAgencyAcronym": "CNSP", "ServiceAgencyName": "Drug Interdiction and Counter-Drug Activities, Defense", "BudgetYear": "2026", "BudgetCycle": "PB", "SubmissionDate": "April 2026", "AppropriationNumber": "0105D" }, "GeneratedOutput": { "Name": "OP-32", "Type": "Exhibit", "Description": "Appropriation Summary of Price/Program Growth", "Code": "DEPSOP32", "Children": [ { "Name": "OP-32 Grid", "Description": "", "Type": "Grid", "Code": "OP32", "Columns": [ { "Code": "numeric_1", "Text": "", "Group": "", "Level": 1, "Order": 14.0, "Type": "numeric" }, { "Code": "PyCyChan", "Text": "Change from FY 2025 to FY 2026", "Group": "", "Level": 1, "Order": 15.0, "Type": "numeric" }, { "Code": "numeric_2", "Text": "", "Group": "", "Level": 1, "Order": 16.0, "Type": "numeric" }, { "Code": "CyBy1Chan", "Text": "Change from FY 2026 to FY 2027", "Group": "", "Level": 1, "Order": 17.0, "Type": "numeric" }, { "Code": "numeric", "Text": "", "Group": "", "Level": 1, "Order": 18.0, "Type": "numeric" }, { "Code": "Line", "Text": "", "Group": "", "Level": 0, "Order": 1.0, "Type": "text" }, { "Code": "RowText", "Text": "", "Group": "", "Level": 0, "Order": 2.0, "Type": "text" }, { "Code": "Py", "Text": "FY 2025 \\n Program", "Group": "", "Level": 0, "Order": 3.0, "Type": "numeric" }, { "Code": "PyCyPricGrowPerc", "Text": "Price\\n Growth \\n Percent", "Group": "", "Level": 0, "Order": 5.0, "Type": "percent" }, { "Code": "PyCyPricGrow", "Text": "Price \\n Growth", "Group": "", "Level": 0, "Order": 6.0, "Type": "numeric" }, { "Code": "PyCyProgGrow", "Text": "Program \\n Growth", "Group": "", "Level": 0, "Order": 7.0, "Type": "numeric" }, { "Code": "Cy", "Text": "FY 2026 \\n Program", "Group": "", "Level": 0, "Order": 8.0, "Type": "numeric" }, { "Code": "CyBy1PricGrowPerc", "Text": "Price\\n Growth \\n Percent", "Group": "", "Level": 0, "Order": 10.0, "Type": "percent" }, { "Code": "CyBy1PricGrow", "Text": "Price \\n Growth ", "Group": "", "Level": 0, "Order": 11.0, "Type": "numeric" }, { "Code": "CyBy1ProgGrow", "Text": "Program \\n Growth", "Group": "", "Level": 0, "Order": 12.0, "Type": "numeric" }, { "Code": "By1", "Text": "FY 2027 \\n Program", "Group": "", "Level": 0, "Order": 13.0, "Type": "numeric" } ], "Rows": [ { "Code": "DEPS_0101", "Type": "data", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "0101", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "EXEC, GEN’L & SPEC SCHEDS ", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "218,357", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "percent", "Value": "1.28", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "2,795", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "-6,603", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "214,549", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "percent", "Value": "0.28", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "592", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "950", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "216,091", "NarrativeData": null } ] }, { "Code": "DEPS_0199_Tota", "Type": "total", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "TOTAL CIVILIAN PERSONNEL COMPENSATION", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "218,357", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "blank", "Value": "0.000000", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "2,795", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "-6,603", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "214,549", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "blank", "Value": "0.000000", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "592", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "950", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "216,091", "NarrativeData": null } ] }, { "Code": "DEPS_0199_Tota_BlnkRow", "Type": "blank", "Cells": [] }, { "Code": "DEPS_0308", "Type": "data", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "0308", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "TRAVEL OF PERSONS ", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "7,586", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "percent", "Value": "2.10", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "159", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "-98", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "7,647", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "percent", "Value": "2.10", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "161", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "7,808", "NarrativeData": null } ] }, { "Code": "DEPS_0399_Tota", "Type": "total", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "TOTAL TRAVEL", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "7,586", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "blank", "Value": "0.000000", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "159", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "-98", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "7,647", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "blank", "Value": "0.000000", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "161", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "7,808", "NarrativeData": null } ] }, { "Code": "DEPS_0399_Tota_BlnkRow", "Type": "blank", "Cells": [] }, { "Code": "DEPS_0401", "Type": "data", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "0401", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "DLA ENERGY (FUEL PRODUCTS) ", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "6,715", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "percent", "Value": "1.10", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "74", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "-58", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "6,731", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "percent", "Value": "-7.08", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "-477", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "348", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "6,602", "NarrativeData": null } ] }, { "Code": "DEPS_0411", "Type": "data", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "0411", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "ARMY SUPPLY", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "21,948", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "percent", "Value": "1.70", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "372", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "-561", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "21,759", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "percent", "Value": "6.69", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "1,455", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "-250", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "22,964", "NarrativeData": null } ] }, { "Code": "DEPS_0412", "Type": "data", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "0412", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "NAVY MANAGED SUPPLY, MATL ", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "17,137", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "percent", "Value": "0.15", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "26", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "-433", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "16,730", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "percent", "Value": "2.13", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "357", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "-34", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "17,053", "NarrativeData": null } ] }, { "Code": "DEPS_0413", "Type": "data", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "0413", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "MARINE CORPS SUPPLY", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "544", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "percent", "Value": "-13.14", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "-71", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "72", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "545", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "percent", "Value": "-18.54", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "-101", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "112", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "556", "NarrativeData": null } ] }, { "Code": "DEPS_0414", "Type": "data", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "0414", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "AIR FORCE CONSOL SUST AG (SUPPLY)", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "875", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "percent", "Value": "5.78", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "51", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "-44", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "882", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "percent", "Value": "4.54", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "40", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "8", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "930", "NarrativeData": null } ] }, { "Code": "DEPS_0416", "Type": "data", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "0416", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "GSA SUPPLIES & MATERIALS ", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "10,333", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "percent", "Value": "2.10", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "217", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "-180", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "10,370", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "percent", "Value": "2.10", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "218", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "10,588", "NarrativeData": null } ] }, { "Code": "DEPS_0417", "Type": "data", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "0417", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "LOCAL PURCH SUPPLIES & MAT ", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "16,025", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "percent", "Value": "2.10", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "337", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "-144", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "16,218", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "percent", "Value": "2.10", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "341", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "-1", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "16,558", "NarrativeData": null } ] }, { "Code": "DEPS_0499_Tota", "Type": "total", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "TOTAL DEFENSE WORKING CAPITAL FUND SUPPLIES AND MATERIALS", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "73,577", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "blank", "Value": "0.000000", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "1,003", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "-1,345", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "73,235", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "blank", "Value": "0.000000", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "1,832", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "184", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "75,251", "NarrativeData": null } ] }, { "Code": "DEPS_0499_Tota_BlnkRow", "Type": "blank", "Cells": [] }, { "Code": "DEPS_0633", "Type": "data", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "0633", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "DLA DOCUMENT SERVICES ", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "22", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "percent", "Value": "0.02", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "22", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "percent", "Value": "3.30", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "1", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "23", "NarrativeData": null } ] }, { "Code": "DEPS_0699_Tota", "Type": "total", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "TOTAL OTHER FUND PURCHASES", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "22", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "blank", "Value": "0.000000", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "22", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "blank", "Value": "0.000000", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "1", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "23", "NarrativeData": null } ] }, { "Code": "DEPS_0699_Tota_BlnkRow", "Type": "blank", "Cells": [] }, { "Code": "DEPS_0705", "Type": "data", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "0705", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "AMC CHANNEL CARGO ", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "756", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "percent", "Value": "74.80", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "565", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "-564", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "757", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "percent", "Value": "-1.99", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "-15", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "120", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "862", "NarrativeData": null } ] }, { "Code": "DEPS_0708", "Type": "data", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "0708", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "MSC CHARTERED CARGO ", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "28,883", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "percent", "Value": "2.10", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "607", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "-537", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "28,953", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "percent", "Value": "2.10", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "608", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "29,561", "NarrativeData": null } ] }, { "Code": "DEPS_0771", "Type": "data", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "0771", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "COMMERCIAL TRANSPORT ", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "10,446", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "percent", "Value": "2.10", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "219", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "-167", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "10,498", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "percent", "Value": "2.10", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "220", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "10,718", "NarrativeData": null } ] }, { "Code": "DEPS_0799_Tota", "Type": "total", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "TOTAL TRANSPORTATION", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "40,085", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "blank", "Value": "0.000000", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "1,391", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "-1,268", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "40,208", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "blank", "Value": "0.000000", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "813", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "120", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "41,141", "NarrativeData": null } ] }, { "Code": "DEPS_0799_Tota_BlnkRow", "Type": "blank", "Cells": [] }, { "Code": "DEPS_0912", "Type": "data", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "0912", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "RENTAL PAYMENTS TO GSA (SLUC) ", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "271", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "percent", "Value": "2.10", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "6", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "277", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "percent", "Value": "2.10", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "6", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "283", "NarrativeData": null } ] }, { "Code": "DEPS_0913", "Type": "data", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "0913", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "PURCHASED UTILITIES (NON-FUND) ", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "8,403", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "percent", "Value": "2.10", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "176", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "-117", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "8,462", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "percent", "Value": "2.10", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "178", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "8,640", "NarrativeData": null } ] }, { "Code": "DEPS_0914", "Type": "data", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "0914", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "PURCHASED COMMUNICATIONS (NON-FUND) ", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "17,861", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "percent", "Value": "2.10", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "375", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "-287", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "17,949", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "percent", "Value": "2.10", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "377", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "18,326", "NarrativeData": null } ] }, { "Code": "DEPS_0915", "Type": "data", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "0915", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "RENTS (NON-GSA) ", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "5,014", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "percent", "Value": "2.10", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "105", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "-80", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "5,039", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "percent", "Value": "2.10", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "106", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "5,145", "NarrativeData": null } ] }, { "Code": "DEPS_0917", "Type": "data", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "0917", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "POSTAL SERVICES (U.S.P.S) ", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "648", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "percent", "Value": "2.10", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "14", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "-1", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "661", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "percent", "Value": "2.10", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "14", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "675", "NarrativeData": null } ] }, { "Code": "DEPS_0920", "Type": "data", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "0920", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "SUPPLIES & MATERIALS (NON-FUND)", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "91,606", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "percent", "Value": "2.10", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "1,924", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "-1,314", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "92,216", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "percent", "Value": "2.10", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "1,937", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "94,153", "NarrativeData": null } ] }, { "Code": "DEPS_0921", "Type": "data", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "0921", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "PRINTING & REPRODUCTION ", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "300", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "percent", "Value": "2.10", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "6", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "306", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "percent", "Value": "2.10", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "6", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "312", "NarrativeData": null } ] }, { "Code": "DEPS_0922", "Type": "data", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "0922", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "EQUIPMENT MAINTENANCE BY CONTRACT ", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "104,809", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "percent", "Value": "2.10", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "2,201", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "25,515", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "132,525", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "percent", "Value": "2.10", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "2,783", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "-34,524", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "100,784", "NarrativeData": null } ] }, { "Code": "DEPS_0923", "Type": "data", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "0923", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "FACILITIES SUST, REST, & MOD BY CONTRACT", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "38,410", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "percent", "Value": "2.10", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "807", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "-681", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "38,536", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "percent", "Value": "2.10", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "809", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "-1", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "39,344", "NarrativeData": null } ] }, { "Code": "DEPS_0925", "Type": "data", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "0925", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "EQUIPMENT PURCHASES (NON-FUND) ", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "72,182", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "percent", "Value": "2.10", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "1,516", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "-1,301", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "72,397", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "percent", "Value": "2.10", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "1,520", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "-1", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "73,916", "NarrativeData": null } ] }, { "Code": "DEPS_0926", "Type": "data", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "0926", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "OTHER OVERSEAS PURCHASES ", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "1,775", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "percent", "Value": "2.10", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "37", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "-29", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "1,783", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "percent", "Value": "2.10", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "37", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "1,820", "NarrativeData": null } ] }, { "Code": "DEPS_0927", "Type": "data", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "0927", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "AIR DEF CONTRACTS & SPACE SUPPORT (AF)", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "26,159", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "percent", "Value": "2.10", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "549", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "-486", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "26,222", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "percent", "Value": "2.10", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "551", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "26,773", "NarrativeData": null } ] }, { "Code": "DEPS_0932", "Type": "data", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "0932", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "MGT PROF SUPPORT SVCS ", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "10,315", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "percent", "Value": "2.10", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "217", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "-77", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "10,455", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "percent", "Value": "2.10", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "220", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "-1", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "10,674", "NarrativeData": null } ] }, { "Code": "DEPS_0933", "Type": "data", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "0933", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "STUDIES, ANALYSIS & EVAL ", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "4,119", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "percent", "Value": "2.10", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "86", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "-65", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "4,140", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "percent", "Value": "2.10", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "87", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "4,227", "NarrativeData": null } ] }, { "Code": "DEPS_0934", "Type": "data", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "0934", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "ENGINEERING & TECH SVCS ", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "10,377", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "percent", "Value": "2.10", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "218", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "-169", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "10,426", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "percent", "Value": "2.10", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "219", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "10,645", "NarrativeData": null } ] }, { "Code": "DEPS_0936", "Type": "data", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "0936", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "TRAINING AND LEADERSHIP DEVELOPMENT (OTHER CONTRACTS)", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "1,991", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "percent", "Value": "2.10", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "42", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "2,033", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "percent", "Value": "2.10", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "43", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "2,076", "NarrativeData": null } ] }, { "Code": "DEPS_0937", "Type": "data", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "0937", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "LOCALLY PURCHASED FUEL (NON-FUND) ", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "1,679", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "percent", "Value": "1.10", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "19", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "-14", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "1,684", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "percent", "Value": "-7.08", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "-119", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "87", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "1,652", "NarrativeData": null } ] }, { "Code": "DEPS_0951", "Type": "data", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "0951", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "OTHER COSTS (SPECIAL PERSONAL SVC PAY)", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "340,484", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "percent", "Value": "0.00", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "12,689", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "353,173", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "percent", "Value": "0.00", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "-211,300", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "141,873", "NarrativeData": null } ] }, { "Code": "DEPS_0964", "Type": "data", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "0964", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "OTHER COSTS (SUBSISTENCE AND SUPPORT OF PERSONS)", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "134", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "percent", "Value": "2.10", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "3", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "137", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "percent", "Value": "2.10", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "3", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "140", "NarrativeData": null } ] }, { "Code": "DEPS_0984", "Type": "data", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "0984", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "EQUIPMENT CONTRACTS ", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "1,567", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "percent", "Value": "2.10", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "33", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "-25", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "1,575", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "percent", "Value": "2.10", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "33", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "1,608", "NarrativeData": null } ] }, { "Code": "DEPS_0987", "Type": "data", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "0987", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "OTHER INTRA-GOVT PURCH ", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "3,424", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "percent", "Value": "2.10", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "72", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "-142", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "3,354", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "percent", "Value": "2.10", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "70", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "1,792", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "5,216", "NarrativeData": null } ] }, { "Code": "DEPS_0989", "Type": "data", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "0989", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "OTHER SERVICES ", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "20,542", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "percent", "Value": "2.10", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "431", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "-78", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "20,895", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "percent", "Value": "2.10", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "439", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "-880", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "20,454", "NarrativeData": null } ] }, { "Code": "DEPS_0990", "Type": "data", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "0990", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "IT CONTRACT SUPPORT SERVICES", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "8,739", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "percent", "Value": "2.10", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "184", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "-630", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "8,293", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "percent", "Value": "2.10", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "174", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "8,467", "NarrativeData": null } ] }, { "Code": "DEPS_0998", "Type": "data", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "0998", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "OTHER COSTS (SOCOM ONLY) ", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "percent", "Value": "0.00", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "476", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "476", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "percent", "Value": "0.00", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "9", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "485", "NarrativeData": null } ] }, { "Code": "DEPS_0999_Tota", "Type": "total", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "TOTAL OTHER PURCHASES", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "770,809", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "blank", "Value": "0.000000", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "9,019", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "33,186", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "813,014", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "blank", "Value": "0.000000", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "9,492", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "-244,818", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "577,688", "NarrativeData": null } ] }, { "Code": "DEPS_0999_Tota_BlnkRow", "Type": "blank", "Cells": [] }, { "Code": "DEPS_9999_GranTota", "Type": "total", "Cells": [ { "ColumnCode": "Line", "Type": "blank", "Value": "9999", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "GRAND TOTAL", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "1,110,436", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "blank", "Value": "0.000000", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "14,367", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "23,872", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "1,148,675", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "blank", "Value": "0.000000", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "12,891", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "-243,564", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "918,002", "NarrativeData": null } ] } ] }, { "Name": "OP-32 Toggle", "Description": "", "Type": "Toggle", "ToggleOrder": "text", "Text": { "Enccoding": "HTML", "Value": "
Totals may not add due to rounding.
" }, "Uploads": [] } ] } }, { "Metadata": { "SourceSystem": "EAS", "ServiceAgencyAcronym": "CNSP", "ServiceAgencyName": "Drug Interdiction and Counter-Drug Activities, Defense", "BudgetYear": "2026", "BudgetCycle": "PB", "SubmissionDate": "April 2026", "AppropriationNumber": "0105D" }, "GeneratedOutput": { "Name": "PB-31R", "Type": "Exhibit", "Description": "Personnel Summary", "Code": "DEPSPB31R", "Children": [ { "Name": "PB31ROMASummary Grid", "Description": "", "Type": "Grid", "Code": "PB31ROMASummary", "Columns": [ { "Code": "RowText", "Text": "", "Group": "", "Level": 0, "Order": 1.0, "Type": "text" }, { "Code": "Py", "Text": "FY 2025", "Group": "", "Level": 0, "Order": 2.0, "Type": "numeric" }, { "Code": "Cy", "Text": "FY 2026", "Group": "", "Level": 0, "Order": 3.0, "Type": "numeric" }, { "Code": "By1", "Text": "FY 2027", "Group": "", "Level": 0, "Order": 4.0, "Type": "numeric" }, { "Code": "ChanCyBy1", "Text": "Change \\n FY 2026/2027", "Group": "", "Level": 0, "Order": 5.0, "Type": "numeric" } ], "Rows": [ { "Code": "DEPS_Blnk", "Type": "blank", "Cells": [] }, { "Code": "DEPS_ActiMiliEndStreTota", "Type": "total", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Active Military End Strength (E/S) (Total)", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "315", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "315", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "315", "NarrativeData": null }, { "ColumnCode": "ChanCyBy1", "Type": "numeric", "Value": "0", "NarrativeData": null } ] }, { "Code": "DEPS_ActiMiliEndStreTotaOffi", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Officer", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "127", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "127", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "127", "NarrativeData": null }, { "ColumnCode": "ChanCyBy1", "Type": "numeric", "Value": "0", "NarrativeData": null } ] }, { "Code": "DEPS_ActiMiliEndStreTotaEnli", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Enlisted", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "188", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "188", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "188", "NarrativeData": null }, { "ColumnCode": "ChanCyBy1", "Type": "numeric", "Value": "0", "NarrativeData": null } ] }, { "Code": "DEPS_ActiMiliEndStreTotaBlnk", "Type": "blank", "Cells": [] }, { "Code": "DEPS_ReseDrilStreESTota", "Type": "total", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Reserve Drill Strength (E/S) (Total)", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "12", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "12", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "12", "NarrativeData": null }, { "ColumnCode": "ChanCyBy1", "Type": "numeric", "Value": "0", "NarrativeData": null } ] }, { "Code": "DEPS_ReseDrilStreESTotaOffi", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Officer", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "6", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "6", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "6", "NarrativeData": null }, { "ColumnCode": "ChanCyBy1", "Type": "numeric", "Value": "0", "NarrativeData": null } ] }, { "Code": "DEPS_ReseDrilStreESTotaEnli", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Enlisted", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "6", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "6", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "6", "NarrativeData": null }, { "ColumnCode": "ChanCyBy1", "Type": "numeric", "Value": "0", "NarrativeData": null } ] }, { "Code": "DEPS_ReseDrilStreESTotaBlnk", "Type": "blank", "Cells": [] }, { "Code": "DEPS_ReseOnFullTimeActiDutyESTota", "Type": "total", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Reservists on Full Time Active Duty (E/S) (Total)", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "4,575", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "4,575", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "4,575", "NarrativeData": null }, { "ColumnCode": "ChanCyBy1", "Type": "numeric", "Value": "0", "NarrativeData": null } ] }, { "Code": "DEPS_ReseOnFullTimeActiDutyESTotaOffi", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Officer", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "1,373", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "1,373", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "1,373", "NarrativeData": null }, { "ColumnCode": "ChanCyBy1", "Type": "numeric", "Value": "0", "NarrativeData": null } ] }, { "Code": "DEPS_ReseOnFullTimeActiDutyESTotaEnli", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Enlisted", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "3,202", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "3,202", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "3,202", "NarrativeData": null }, { "ColumnCode": "ChanCyBy1", "Type": "numeric", "Value": "0", "NarrativeData": null } ] }, { "Code": "DEPS_ReseOnFullTimeActiDutyESTotaBlnk", "Type": "blank", "Cells": [] }, { "Code": "DEPS_CiviEndStreTota", "Type": "total", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Civilian End Strength (Total)", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "1,497", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "1,473", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "1,478", "NarrativeData": null }, { "ColumnCode": "ChanCyBy1", "Type": "numeric", "Value": "5", "NarrativeData": null } ] }, { "Code": "DEPS_CiviEndStreTotaUSDireHire", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "U.S. Direct Hire", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "1,491", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "1,467", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "1,472", "NarrativeData": null }, { "ColumnCode": "ChanCyBy1", "Type": "numeric", "Value": "5", "NarrativeData": null } ] }, { "Code": "DEPS_CiviEndStreTotaForeNatiDireHire", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Foreign National Direct Hire", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "6", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "6", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "6", "NarrativeData": null }, { "ColumnCode": "ChanCyBy1", "Type": "numeric", "Value": "0", "NarrativeData": null } ] }, { "Code": "DEPS_CiviEndStreTotaTotaDireHire", "Type": "subtotal", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Total Direct Hire", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "1,497", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "1,473", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "1,478", "NarrativeData": null }, { "ColumnCode": "ChanCyBy1", "Type": "numeric", "Value": "5", "NarrativeData": null } ] }, { "Code": "DEPS_CiviEndStreTotaBlnk", "Type": "blank", "Cells": [] }, { "Code": "DEPS_ActiMiliAverStreTota", "Type": "total", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Active Military Average Strength (A/S) (Total)", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "315", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "315", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "315", "NarrativeData": null }, { "ColumnCode": "ChanCyBy1", "Type": "numeric", "Value": "0", "NarrativeData": null } ] }, { "Code": "DEPS_ActiMiliAverStreTotaOffi", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Officer", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "127", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "127", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "127", "NarrativeData": null }, { "ColumnCode": "ChanCyBy1", "Type": "numeric", "Value": "0", "NarrativeData": null } ] }, { "Code": "DEPS_ActiMiliAverStreTotaEnli", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Enlisted", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "188", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "188", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "188", "NarrativeData": null }, { "ColumnCode": "ChanCyBy1", "Type": "numeric", "Value": "0", "NarrativeData": null } ] }, { "Code": "DEPS_ActiMiliAverStreTotaBlnk", "Type": "blank", "Cells": [] }, { "Code": "DEPS_ReseDrilStreASTota", "Type": "total", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Reserve Drill Strength (A/S) (Total)", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "12", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "12", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "12", "NarrativeData": null }, { "ColumnCode": "ChanCyBy1", "Type": "numeric", "Value": "0", "NarrativeData": null } ] }, { "Code": "DEPS_ReseDrilStreASTotaOffi", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Officer", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "6", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "6", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "6", "NarrativeData": null }, { "ColumnCode": "ChanCyBy1", "Type": "numeric", "Value": "0", "NarrativeData": null } ] }, { "Code": "DEPS_ReseDrilStreASTotaEnli", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Enlisted", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "6", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "6", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "6", "NarrativeData": null }, { "ColumnCode": "ChanCyBy1", "Type": "numeric", "Value": "0", "NarrativeData": null } ] }, { "Code": "DEPS_ReseDrilStreASTotaBlnk", "Type": "blank", "Cells": [] }, { "Code": "DEPS_ReseOnFullTimeActiDutyASTota", "Type": "total", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Reservists on Full Time Active Duty (A/S) (Total)", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "4,575", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "4,575", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "4,575", "NarrativeData": null }, { "ColumnCode": "ChanCyBy1", "Type": "numeric", "Value": "0", "NarrativeData": null } ] }, { "Code": "DEPS_ReseOnFullTimeActiDutyASTotaOffi", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Officer", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "1,373", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "1,373", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "1,373", "NarrativeData": null }, { "ColumnCode": "ChanCyBy1", "Type": "numeric", "Value": "0", "NarrativeData": null } ] }, { "Code": "DEPS_ReseOnFullTimeActiDutyASTotaEnli", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Enlisted", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "3,202", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "3,202", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "3,202", "NarrativeData": null }, { "ColumnCode": "ChanCyBy1", "Type": "numeric", "Value": "0", "NarrativeData": null } ] }, { "Code": "DEPS_ReseOnFullTimeActiDutyASTotaBlnk", "Type": "blank", "Cells": [] }, { "Code": "DEPS_CiviFtesTota", "Type": "total", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Civilian FTEs (Total)", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "1,497", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "1,473", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "1,478", "NarrativeData": null }, { "ColumnCode": "ChanCyBy1", "Type": "numeric", "Value": "5", "NarrativeData": null } ] }, { "Code": "DEPS_CiviFtesTotaUSDireHire", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "U.S. Direct Hire", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "1,491", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "1,467", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "1,472", "NarrativeData": null }, { "ColumnCode": "ChanCyBy1", "Type": "numeric", "Value": "5", "NarrativeData": null } ] }, { "Code": "DEPS_CiviFtesTotaForeNatiDireHire", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Foreign National Direct Hire", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "6", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "6", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "6", "NarrativeData": null }, { "ColumnCode": "ChanCyBy1", "Type": "numeric", "Value": "0", "NarrativeData": null } ] }, { "Code": "DEPS_CiviFtesTotaTotaDireHire", "Type": "subtotal", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Total Direct Hire", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "1,497", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "1,473", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "1,478", "NarrativeData": null }, { "ColumnCode": "ChanCyBy1", "Type": "numeric", "Value": "5", "NarrativeData": null } ] }, { "Code": "DEPS_CiviFtesTotaBlnk", "Type": "blank", "Cells": [] }, { "Code": "DEPS_AverAnnuCiviSalaDollInThou", "Type": "subtotal", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Average Annual Civilian Salary Cost ($ in thousands)", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "145.9", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "145.7", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "146.2", "NarrativeData": null }, { "ColumnCode": "ChanCyBy1", "Type": "numeric", "Value": "0.6", "NarrativeData": null } ] }, { "Code": "DEPS_AverAnnuCiviSalaDollInThouBlnk", "Type": "blank", "Cells": [] }, { "Code": "DEPS_ContFtesTota", "Type": "subtotal", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Contractor FTEs (Total)", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "1,246", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "1,246", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "1,246", "NarrativeData": null }, { "ColumnCode": "ChanCyBy1", "Type": "numeric", "Value": "0", "NarrativeData": null } ] } ] }, { "Name": "Personnel Explanations", "Description": "", "Type": "Toggle", "ToggleOrder": "text", "Text": { "Enccoding": "HTML", "Value": "Active Military Strength reflects manpower support to Counter-Narcotics Support program and the Drug Demand Reduction program, funded by the Military Departments.
Estimates represent Reservists, Civilians, and Contractors who are funded annually from the Drug Interdiction and Counter-Drug Activities, Defense appropriation, a Central Transfer Account, to the Military Departments and Defense Agencies.
Civilian net increase of +5 FTEs due to positions being coded as exempt for the FY 2026 Efficiency - Workforce Optimization initiative. This initiative reduces civilian personnel full-time equivalents and funding to optimize the workforce in compliance with Executive Order 14210, \"Implementing the President's Department of Government Efficiency Workforce Optimization Initiative.\"
" }, "Uploads": [] }, { "Name": "Outyear Summary Grid", "Type": "Grid", "Description": "", "MissingExtraData": "This component has no word or json doc" } ] } }, { "Metadata": { "SourceSystem": "EAS", "ServiceAgencyAcronym": "CNSP", "ServiceAgencyName": "Drug Interdiction and Counter-Drug Activities, Defense", "BudgetYear": "2026", "BudgetCycle": "PB", "SubmissionDate": "April 2026", "AppropriationNumber": "0105D" }, "GeneratedOutput": { "Name": "PB-31D", "Type": "Exhibit", "Description": "Summary of Funding Increases and Decreases", "Code": "DEPSPB31D", "Children": [ { "Name": "PB-31D", "Description": "", "Type": "Tab Strip", "Children": [ { "Name": "3C(1)", "Description": "", "Type": "Tab", "Children": [ { "Name": "Part 3c1 Grid", "Description": "", "Type": "Grid", "Code": "PB31D3C1", "Columns": [], "Rows": [ { "Code": "PB31D3C1-DEPS_FyCyPresBudgRequ", "Type": "total", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "FY 2026 President's Budget Request (Amended, if applicable)", "NarrativeData": null }, { "ColumnCode": "Amt", "Type": "dollar", "Value": "904,301", "NarrativeData": null } ] }, { "Code": "PB31D3C1-DEPS_CongAdju", "Type": "subtotal", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "1. Congressional Adjustments", "NarrativeData": null }, { "ColumnCode": "Amt", "Type": "dollar", "Value": "244,374", "NarrativeData": null } ] }, { "Code": "PB31D3C1-DEPS_DistAdju", "Type": "subtotal", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "a) Distributed Adjustments", "NarrativeData": null }, { "ColumnCode": "Amt", "Type": "dollar", "Value": "244,374", "NarrativeData": null } ] }, { "Code": "PB31D3C1-DEPS_DistAdju_child_1770377763918_DEPSNGCDS", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Program increase (National Guard Counter-Drug Schools)", "NarrativeData": null }, { "ColumnCode": "Amt", "Type": "dollar", "Value": "23,646", "NarrativeData": null } ] }, { "Code": "PB31D3C1-DEPS_DistAdju_child_1774963419931_DEPSCNS", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Program increase (Counter-Narcotics Support)", "NarrativeData": null }, { "ColumnCode": "Amt", "Type": "dollar", "Value": "15,853", "NarrativeData": null } ] }, { "Code": "PB31D3C1-DEPS_DistAdju_child_1774964674388_DEPSNGCDP", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Program increase (National Guard Counter-Drug Program)", "NarrativeData": null }, { "ColumnCode": "Amt", "Type": "dollar", "Value": "189,875", "NarrativeData": null } ] }, { "Code": "PB31D3C1-DEPS_DistAdju_child_1774963418380_DEPSCNS", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Program increase - commercial ISR support for SOUTHCOM (Counter-Narcotics Support)", "NarrativeData": null }, { "ColumnCode": "Amt", "Type": "dollar", "Value": "5,000", "NarrativeData": null } ] }, { "Code": "PB31D3C1-DEPS_DistAdju_child_1770405592541_DEPSNGCDP", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Program increase - illicit drug deactivation at U.S. borders (National Guard Counter-Drug Program)", "NarrativeData": null }, { "ColumnCode": "Amt", "Type": "dollar", "Value": "5,000", "NarrativeData": null } ] }, { "Code": "PB31D3C1-DEPS_DistAdju_child_1770485599626_DEPSCNS", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Program increase - comsat Imagery AI/ML for drug interdiction (Counter-Narcotics Support)", "NarrativeData": null }, { "ColumnCode": "Amt", "Type": "dollar", "Value": "5,000", "NarrativeData": null } ] }, { "Code": "PB31D3C1-DEPS_UndiAdju", "Type": "subtotal", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "b) Undistributed Adjustments", "NarrativeData": null }, { "ColumnCode": "Amt", "Type": "dollar", "Value": "0", "NarrativeData": null } ] }, { "Code": "PB31D3C1-DEPS_AdjuToMeetCongInte", "Type": "subtotal", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "c) Adjustments to Meet Congressional Intent", "NarrativeData": null }, { "ColumnCode": "Amt", "Type": "dollar", "Value": "0", "NarrativeData": null } ] }, { "Code": "PB31D3C1-DEPS_GeneProv", "Type": "subtotal", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "d) General Provisions", "NarrativeData": null }, { "ColumnCode": "Amt", "Type": "dollar", "Value": "0", "NarrativeData": null } ] }, { "Code": "PB31D3C2-DEPS_War", "Type": "subtotal", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "2. Supplemental Appropriations", "NarrativeData": null }, { "ColumnCode": "Amt", "Type": "dollar", "Value": "0", "NarrativeData": null } ] }, { "Code": "PB31D3C2-DEPS_OverContOperSuppAp", "Type": "subtotal", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "a) Supplemental Funding", "NarrativeData": null }, { "ColumnCode": "Amt", "Type": "dollar", "Value": "0", "NarrativeData": null } ] }, { "Code": "PB31D3C3-DEPS_FactChan", "Type": "subtotal", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "3. Fact-of-Life Changes", "NarrativeData": null }, { "ColumnCode": "Amt", "Type": "dollar", "Value": "0", "NarrativeData": null } ] }, { "Code": "PB31D3C3-DEPS_FuncTran", "Type": "subtotal", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "a) Functional Transfers", "NarrativeData": null }, { "ColumnCode": "Amt", "Type": "dollar", "Value": "0", "NarrativeData": null } ] }, { "Code": "PB31D3C3-DEPS_BTechAdju", "Type": "subtotal", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "b) Technical Adjustments", "NarrativeData": null }, { "ColumnCode": "Amt", "Type": "dollar", "Value": "0", "NarrativeData": null } ] }, { "Code": "PB31D3C3-DEPS_EmerRequ", "Type": "subtotal", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "c) Emergent Requirements", "NarrativeData": null }, { "ColumnCode": "Amt", "Type": "dollar", "Value": "0", "NarrativeData": null } ] }, { "Code": "PB31D3C3-DEPS_FyCyEstiAndSuppFund", "Type": "total", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "FY 2026 Baseline Funding", "NarrativeData": null }, { "ColumnCode": "Amt", "Type": "dollar", "Value": "1,148,675", "NarrativeData": null } ] }, { "Code": "PB31D3C4-DEPS_AntiRepReq1415Acti", "Type": "subtotal", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "4. Reprogrammings (Requiring 1415 Actions)", "NarrativeData": null }, { "ColumnCode": "Amt", "Type": "dollar", "Value": "0", "NarrativeData": null } ] }, { "Code": "PB31D3C4-DEPS_Incr", "Type": "subtotal", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "a) Increases", "NarrativeData": null }, { "ColumnCode": "Amt", "Type": "dollar", "Value": "0", "NarrativeData": null } ] }, { "Code": "PB31D3C4-DEPS_Decr", "Type": "subtotal", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "b) Decreases", "NarrativeData": null }, { "ColumnCode": "Amt", "Type": "dollar", "Value": "0", "NarrativeData": null } ] }, { "Code": "PB31D3C4-DEPS_ReviFyCyEsti", "Type": "total", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Revised FY 2026 Estimate", "NarrativeData": null }, { "ColumnCode": "Amt", "Type": "dollar", "Value": "1,148,675", "NarrativeData": null } ] }, { "Code": "PB31D3C5-DEPS_LessEmerSuppFund", "Type": "subtotal", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "5. Less: Item 2, Supplemental Appropriation and Item 4, Reprogrammings", "NarrativeData": null }, { "ColumnCode": "Amt", "Type": "dollar", "Value": "0", "NarrativeData": null } ] }, { "Code": "PB31D3C5-DEPS_LessWarRelaAndDisaSu", "Type": "subtotal", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "a) Less: Supplemental Funding", "NarrativeData": null }, { "ColumnCode": "Amt", "Type": "dollar", "Value": "0", "NarrativeData": null } ] }, { "Code": "PB31D3C5-DEPS_NormFyCyCurrEsti", "Type": "total", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "FY 2026 Normalized Current Estimate", "NarrativeData": null }, { "ColumnCode": "Amt", "Type": "dollar", "Value": "1,148,675", "NarrativeData": null } ] }, { "Code": "PB31D3C67-DEPS_PricChan", "Type": "subtotal", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "6. Price Change", "NarrativeData": null }, { "ColumnCode": "Amt", "Type": "dollar", "Value": "12,891", "NarrativeData": null } ] }, { "Code": "PB31D3C67-DEPS_Tran", "Type": "subtotal", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "7. Functional Transfers", "NarrativeData": null }, { "ColumnCode": "Amt", "Type": "dollar", "Value": "0", "NarrativeData": null } ] }, { "Code": "PB31D3C67-DEPS_TranIn", "Type": "subtotal", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "a) Transfers In", "NarrativeData": null }, { "ColumnCode": "Amt", "Type": "dollar", "Value": "0", "NarrativeData": null } ] }, { "Code": "PB31D3C67-DEPS_TranOut", "Type": "subtotal", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "b) Transfers Out", "NarrativeData": null }, { "ColumnCode": "Amt", "Type": "dollar", "Value": "0", "NarrativeData": null } ] }, { "Code": "PB31D3C8-DEPS_ProgIncr", "Type": "subtotal", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "8. Program Increases", "NarrativeData": null }, { "ColumnCode": "Amt", "Type": "dollar", "Value": "8,149", "NarrativeData": null } ] }, { "Code": "PB31D3C8-DEPS_AnnuOfNewFyCyProg", "Type": "subtotal", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "a) Annualization of New FY 2026 Program", "NarrativeData": null }, { "ColumnCode": "Amt", "Type": "dollar", "Value": "0", "NarrativeData": null } ] }, { "Code": "PB31D3C8-DEPS_OneFyBy1Cost", "Type": "subtotal", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "b) One-Time FY 2027 Increases", "NarrativeData": null }, { "ColumnCode": "Amt", "Type": "dollar", "Value": "0", "NarrativeData": null } ] }, { "Code": "PB31D3C8-DEPS_ProgGrowInFyBy1", "Type": "subtotal", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "c) Program Growth in FY 2027", "NarrativeData": null }, { "ColumnCode": "Amt", "Type": "dollar", "Value": "8,149", "NarrativeData": null } ] }, { "Code": "PB31D3C8-DEPS_ProgGrowInFyBy1_child_1703863125376_DEPSNGCDP", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Reserve Component Personnel Costs (National Guard Counter-Drug Program)", "NarrativeData": null }, { "ColumnCode": "Amt", "Type": "dollar", "Value": "6,987", "NarrativeData": null } ] }, { "Code": "PB31D3C8-DEPS_ProgGrowInFyBy1_child_1755787819338_DEPSCNS", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Workforce Optimization Restoral (Counter-Narcotics Support)", "NarrativeData": null }, { "ColumnCode": "Amt", "Type": "dollar", "Value": "950", "NarrativeData": null } ] }, { "Code": "PB31D3C8-DEPS_ProgGrowInFyBy1_child_1770378359322_DEPSNGCDS", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Reserve Component Personnel Costs (National Guard Counter-Drug Schools)", "NarrativeData": null }, { "ColumnCode": "Amt", "Type": "dollar", "Value": "212", "NarrativeData": null } ] }, { "Code": "PB31D3C9-DEPS_ProgDecr", "Type": "subtotal", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "9. Program Decreases", "NarrativeData": null }, { "ColumnCode": "Amt", "Type": "dollar", "Value": "-251,713", "NarrativeData": null } ] }, { "Code": "PB31D3C9-DEPS_AnnuOfFyCyProgDecr", "Type": "subtotal", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "a) Annualization of FY 2026 Program Decreases", "NarrativeData": null }, { "ColumnCode": "Amt", "Type": "dollar", "Value": "0", "NarrativeData": null } ] }, { "Code": "PB31D3C9-DEPS_OneFyCyCost", "Type": "subtotal", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "b) One-Time FY 2026 Increases", "NarrativeData": null }, { "ColumnCode": "Amt", "Type": "dollar", "Value": "-248,634", "NarrativeData": null } ] }, { "Code": "PB31D3C9-DEPS_OneFyCyCost_child_1770378241574_DEPSNGCDS", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Congressional Adjustment (National Guard Counter-Drug Schools)", "NarrativeData": null }, { "ColumnCode": "Amt", "Type": "dollar", "Value": "-23,646", "NarrativeData": null } ] }, { "Code": "PB31D3C9-DEPS_OneFyCyCost_child_1770405879109_DEPSNGCDP", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Congressional Adjustment (National Guard Counter-Drug Program)", "NarrativeData": null }, { "ColumnCode": "Amt", "Type": "dollar", "Value": "-194,875", "NarrativeData": null } ] }, { "Code": "PB31D3C9-DEPS_OneFyCyCost_child_1770486044910_DEPSCNS", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Congressional Adjustment (Counter-Narcotics Support)", "NarrativeData": null }, { "ColumnCode": "Amt", "Type": "dollar", "Value": "-25,853", "NarrativeData": null } ] }, { "Code": "PB31D3C9-DEPS_OneFyCyCost_child_1748952133058_DEPSCNS", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "U.S. Army Corps of Engineers Contract Close-out (Counter-Narcotics Support)", "NarrativeData": null }, { "ColumnCode": "Amt", "Type": "dollar", "Value": "-4,260", "NarrativeData": null } ] }, { "Code": "PB31D3C9-DEPS_ProgDecrInFyBy1", "Type": "subtotal", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "c) Program Decreases in FY 2027", "NarrativeData": null }, { "ColumnCode": "Amt", "Type": "dollar", "Value": "-3,079", "NarrativeData": null } ] }, { "Code": "PB31D3C9-DEPS_ProgDecrInFyBy1_child_1755703927290_DEPSDDRP", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Other Services (Drug Demand Reduction Program)", "NarrativeData": null }, { "ColumnCode": "Amt", "Type": "dollar", "Value": "-920", "NarrativeData": null } ] }, { "Code": "PB31D3C9-DEPS_ProgDecrInFyBy1_child_1755787479860_DEPSCNS", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "U.S. Southern Command Maritime Patrol Aircraft Support (Counter-Narcotics Support)", "NarrativeData": null }, { "ColumnCode": "Amt", "Type": "dollar", "Value": "-2,159", "NarrativeData": null } ] }, { "Code": "PB31D3C9-DEPS_FyBy1BudgRequ", "Type": "total", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "FY 2027 Budget Request", "NarrativeData": null }, { "ColumnCode": "Amt", "Type": "dollar", "Value": "918,002", "NarrativeData": null } ] } ] } ] }, { "Name": "3C(2)", "Description": "", "Type": "Tab", "Children": [ { "Name": "Part 3c2 Grid", "Type": "Grid", "Description": "", "MissingExtraData": "This component has no word or json doc" } ] }, { "Name": "3C(3)", "Description": "", "Type": "Tab", "Children": [ { "Name": "Part 3c3 Grid", "Type": "Grid", "Description": "", "MissingExtraData": "This component has no word or json doc" } ] }, { "Name": "3C(4)", "Description": "", "Type": "Tab", "Children": [ { "Name": "Part 3c4 Grid", "Type": "Grid", "Description": "", "MissingExtraData": "This component has no word or json doc" } ] }, { "Name": "3C(5)", "Description": "", "Type": "Tab", "Children": [ { "Name": "Part 3c5 Grid", "Type": "Grid", "Description": "", "MissingExtraData": "This component has no word or json doc" } ] }, { "Name": "3C(6-7)", "Description": "", "Type": "Tab", "Children": [ { "Name": "Part 3c67 Grid", "Type": "Grid", "Description": "", "MissingExtraData": "This component has no word or json doc" } ] }, { "Name": "3C(8)", "Description": "", "Type": "Tab", "Children": [ { "Name": "Part 3c8 Grid", "Type": "Grid", "Description": "", "MissingExtraData": "This component has no word or json doc" } ] }, { "Name": "3C(9)", "Description": "", "Type": "Tab", "Children": [ { "Name": "Part 3c9 Grid", "Type": "Grid", "Description": "", "MissingExtraData": "This component has no word or json doc" } ] } ] } ] } }, { "Metadata": { "SourceSystem": "EAS", "ServiceAgencyAcronym": "CNSP", "ServiceAgencyName": "Drug Interdiction and Counter-Drug Activities, Defense", "BudgetYear": "2026", "BudgetCycle": "PB", "SubmissionDate": "April 2026", "AppropriationNumber": "0105D" }, "GeneratedOutput": { "Name": "OP-5 BA01", "Type": "Exhibit", "Description": "Detail by Subactivity Group 1FU1", "Code": "DEPSCNSOp5SC", "Children": [ { "Name": "SAG Parts", "Description": "", "Type": "Tab Strip", "Children": [ { "Name": "Part 1", "Description": "", "Type": "Tab", "Children": [ { "Name": "Part 1 Grid", "Description": "", "Type": "Grid", "Code": "Op5Part1", "Columns": [ { "Code": "RowText", "Text": "Appropriation Summary ($ in Thousands) ", "Group": "", "Level": 0, "Order": 1.0, "Type": "text" }, { "Code": "Py", "Text": "FY 2025\\n Enacted", "Group": "", "Level": 0, "Order": 2.0, "Type": "numeric" }, { "Code": "PyCyPricChan", "Text": "Price\\n Change", "Group": "", "Level": 0, "Order": 3.0, "Type": "numeric" }, { "Code": "PyCyProgChan", "Text": "Program\\n Change", "Group": "", "Level": 0, "Order": 4.0, "Type": "numeric" }, { "Code": "Cy", "Text": "FY 2026\\n Enacted", "Group": "", "Level": 0, "Order": 5.0, "Type": "numeric" }, { "Code": "CyBy1PricChan", "Text": "Price\\n Change", "Group": "", "Level": 0, "Order": 6.0, "Type": "numeric" }, { "Code": "CyBy1ProgChan", "Text": "Program\\n Change", "Group": "", "Level": 0, "Order": 7.0, "Type": "numeric" }, { "Code": "By1", "Text": "FY 2027\\n Request", "Group": "", "Level": 0, "Order": 8.0, "Type": "numeric" } ], "Rows": [ { "Code": "DEPSCNS_Clie", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Counter-Narcotics Support", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "653,702", "NarrativeData": null }, { "ColumnCode": "PyCyPricChan", "Type": "numeric", "Value": "11,843", "NarrativeData": null }, { "ColumnCode": "PyCyProgChan", "Type": "numeric", "Value": "13,192", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "678,737", "NarrativeData": null }, { "ColumnCode": "CyBy1PricChan", "Type": "numeric", "Value": "10,776", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgChan", "Type": "numeric", "Value": "-31,322", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "658,191", "NarrativeData": null } ] } ] }, { "Name": "Part 1 Footnote", "Description": "", "Type": "Toggle", "ToggleOrder": "textupload", "Text": { "Enccoding": "HTML", "Value": "
In accordance with the Fiscal Year 2027 Appropriation Act Language \"for transfer to appropriations available to the Department of War for military personnel of the reserve components serving under the provisions of title 10 and title 32, United States Code; operation and maintenance; for procurement; and for research, development, test, and evaluation\" below is the Department of War projected transfer estimates by Fiscal Year and Public Law.
" }, "Uploads": [] }, { "Name": "Part 1 Public Law", "Description": "", "Type": "Grid", "Code": "Op5Part1PublicLaw", "Columns": [ { "Code": "RowText", "Text": "Public Law", "Group": "", "Level": 0, "Order": 1.0, "Type": "text" }, { "Code": "FyPyEnta", "Text": "FY 2025\\n Enacted", "Group": "", "Level": 0, "Order": 2.0, "Type": "numeric" }, { "Code": "FyCyEsti", "Text": "FY 2026\\n Enacted", "Group": "", "Level": 0, "Order": 3.0, "Type": "numeric" }, { "Code": "FyByEsti", "Text": "FY 2027\\n Request", "Group": "", "Level": 0, "Order": 4.0, "Type": "numeric" } ], "Rows": [ { "Code": "DEPSCNS_MiliPers", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Military Personnel", "NarrativeData": null }, { "ColumnCode": "FyPyEnta", "Type": "numeric", "Value": "45,288", "NarrativeData": null }, { "ColumnCode": "FyCyEsti", "Type": "numeric", "Value": "51,812", "NarrativeData": null }, { "ColumnCode": "FyByEsti", "Type": "numeric", "Value": "52,103", "NarrativeData": null } ] }, { "Code": "DEPSCNS_OperAndMain", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Operation and Maintenance", "NarrativeData": null }, { "ColumnCode": "FyPyEnta", "Type": "numeric", "Value": "604,284", "NarrativeData": null }, { "ColumnCode": "FyCyEsti", "Type": "numeric", "Value": "622,713", "NarrativeData": null }, { "ColumnCode": "FyByEsti", "Type": "numeric", "Value": "601,758", "NarrativeData": null } ] }, { "Code": "DEPSCNS_Proc", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Procurement", "NarrativeData": null }, { "ColumnCode": "FyPyEnta", "Type": "numeric", "Value": "4,130", "NarrativeData": null }, { "ColumnCode": "FyCyEsti", "Type": "numeric", "Value": "4,212", "NarrativeData": null }, { "ColumnCode": "FyByEsti", "Type": "numeric", "Value": "4,330", "NarrativeData": null } ] }, { "Code": "DEPSCNS_ReseDeveTestAndEval", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Research, Development, Test, and Evaluation", "NarrativeData": null }, { "ColumnCode": "FyPyEnta", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "FyCyEsti", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "FyByEsti", "Type": "numeric", "Value": "0", "NarrativeData": null } ] }, { "Code": "DEPSCNS_Tota", "Type": "total", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Total", "NarrativeData": null }, { "ColumnCode": "FyPyEnta", "Type": "numeric", "Value": "653,702", "NarrativeData": null }, { "ColumnCode": "FyCyEsti", "Type": "numeric", "Value": "678,737", "NarrativeData": null }, { "ColumnCode": "FyByEsti", "Type": "numeric", "Value": "658,191", "NarrativeData": null } ] } ] }, { "Name": "Footnote 2", "Description": "", "Type": "Toggle", "ToggleOrder": "uploadtext", "Text": { "Enccoding": "HTML", "Value": "
The FY 2027 request for Drug Interdiction and Counter-Drug Activities, Defense includes $658,191 thousand of discretionary and $0 thousand of mandatory for a total of $658,191 thousand to directly support the Counter-Narcotics Support program.
The FY 2026 spend plan amount for Drug Interdiction and Counter-Drug Activities, Defense includes $678,737 thousand of discretionary and $0 thousand of mandatory for a total of $678,737 thousand to directly support the Counter-Narcotics Support program.
The FY 2025 spend plan amount for Drug Interdiction and Counter-Drug Activities, Defense includes $653,702 thousand of discretionary and $0 thousand of mandatory for a total of $653,702 thousand to directly support the Counter-Narcotics Support program.
The FY 2025 Enacted column reflects amounts transferred from the Drug Interdiction and Counter-Drug Activities, Defense appropriation, a Central Transfer Account, to the Military Departments and Defense Agencies.
" }, "Uploads": [] }, { "Name": "Part 1 Toggle", "Description": "", "Type": "Toggle", "ToggleOrder": "text", "Text": { "Enccoding": "HTML", "Value": "
Counterdrug: countering the threat posed by illicit drugs and other types of trafficking, focusing on reducing illicit drug availability in the United States; neutralizing threat networks that profit from illicit trafficking and strengthening interagency and international partners’ ability to combat trafficking.
Countering Transnational Organized Crime: countering transnational criminal organizations (including those recently designated as foreign terrorist organizations) and illicit networks with links to terrorist groups or other groups that significantly threaten U.S. national security interests.
Counter Threat Finance: analyzing how adversaries generate, store, move and use money and other resources, and how to disrupt their financial networks using whole-of-government authorities and capabilities.
Primary Authorities: 10 U.S.C. §124, §284, §342, §1021 National Defense Authorization Act for 2005, as amended, and §1022 National Defense Authorization Act for 2004, as amended.
" }, "Uploads": [] }, { "Name": "{v3a} Footnote Grid", "Type": "Grid", "Description": "", "MissingExtraData": "This component has no word or json doc" }, { "Name": "Part 1 {v3a} Footnote", "Type": "Toggle", "Description": "", "MissingExtraData": "This component has no word or json doc" } ] }, { "Name": "Part 2", "Description": "", "Type": "Tab", "Children": [ { "Name": "Part 2 Toggle", "Description": "", "Type": "Toggle", "ToggleOrder": "text", "Text": { "Enccoding": "HTML", "Value": "The Office of the Deputy Assistant Secretary of War for Counternarcotics and Stabilization Policy, by direction of the Under Secretary of War for Policy, and with oversight by the Assistant Secretary of War for Special Operations/Low-Intensity Conflict, provides policy oversight, guidance, resources, and the measurement of effects for the Department of War Counter-Drug, Counter-Transnational Organized Crime, and Counter Threat Finance programs and activities. Individual programs and activities are designed, planned, and executed by the Combatant Commands in cooperation with the listed Combat Support Agencies. The Military Services provide program execution support and fiscal oversight on behalf of Service component activities executed on behalf of the Combatant Commands.
Office of the Secretary of War:
Under Secretary of War for Policy
Assistant Secretary of War for Special Operations/Low-Intensity Conflict
Deputy Assistant Secretary of War for Counternarcotics and Stabilization Policy
Military Services:
Department of the Army
Department of the Navy
Department of the Air Force
United States Marine Corps
National Guard
Combatant Commands:
U.S. Africa Command
U.S. Central Command
U.S. European Command
U.S. Indo-Pacific Command
U.S. Northern Command
U.S. Southern Command
U.S. Special Operations Command
U.S. Transportation Command
Combat Support Agencies:
Defense Intelligence Agency
National Geospatial-Intelligence Agency
National Security Agency
The Department of War supports the nation’s Counterdrug and Counter Transnational Organized Crime efforts as the lead for the detection and monitoring of aerial and maritime drug threats bound for the United States, supporting U.S. law enforcement partners through planning, intelligence analysis, linguistic support, threat finance intelligence, and other activities per 10 U.S.C 284(b). Support to foreign law enforcement may include small-scale construction, linguistic support and transportation support.
Measures of performance assigned to these activities are used by decision makers to observe progress and measure actual results in comparison to expected results and operational objectives; guide the allocation of counterdrug and counter transnational organized crime budgetary resources during the annual planning, programming, budgeting, and execution process; provide management and oversight of Department of War counterdrug and countering transnational organized crime programs; and facilitate communications and engagements with internal and external stakeholders.
The National Drug Control Budget, published by the Office of National Drug Control Policy, is assembled by agency Budget Decision Unit. The Fiscal Year 2027 Department of War Drug Interdiction and Counter-Drug Activities, Defense budget request supports one Budget Decision Unit, titled Drug Interdiction and Counterdrug Activities. Information regarding measures of performance that are compiled and monitored by the Deputy Assistant Secretary of War for Counternarcotics and Stabilization Policy, but not funded by this appropriation (Military Services Operations Tempo), may be found in the Office of National Drug Control Policy National Drug Control Budget. Selected Fiscal Year 2025 qualitative and quantitative program performance results are provided in the following table, and accompanying narrative, to communicate Department of War's continued progress toward achieving operational objectives in support of the National Drug Control Program. These measures, including data sources, goals, and results are subject to a Department of War Inspector General Attestation Review at least once every three years to ensure quality standards are reliability.
Selected Measures of FY 2025 Performance FY 2025 FY 2025
Target Achieved
Budget Decision Unit 1 – Drug Interdiction and Counterdrug Activities
Goal: The supply of illicit substances into the United States is reduced.
Measure 1: Narcotics and Transnational Crime Support Center support to Interagency Priority Cases 49 cases 57 cases
Measure 2: Percentage of Detected Events Successfully Handed-off to Interdiction and Apprehension Resources 80% 79%
Measure 1: Narcotics and Transnational Crime Support Center support to Interagency Priority Cases.
The Department of War counterdrug Enterprise-Wide Intelligence programs broadly support and enhance the capabilities of the Department of War components in performing counterdrug, counter transnational organized crime, and counter threat finance missions to help U.S. and international law enforcement partners deter, disrupt, and defeat global drug-trafficking, illicit finance, transnational crime, and terrorist activities. The Narcotics and Transnational Crime Support Center facilitates tailored analytical support to law enforcement, interagency and Department of War efforts to address transnational organized crime issues by providing intelligence analysis support, as requested, to active cases and operations.
In Fiscal Year (FY) 2025, the Narcotics and Transnational Crime Support Center supported 57 high-priority operations, exceeding its target of 49 by 14%. Notably, 128 of 152, or 84%, of Narcotics and Transnational Crime Support Centers total supported operations were focused against Administration priorities and Executive Orders including Mexican Cartels designated as Foreign Terrorist Organization and Specially Designated Global Terrorist to include illicit drug supply chains and illicit financing. Through increased outreach with select law enforcement agencies, the Narcotics and Transnational Crime Support Center increased its support to new Homeland Security Task Force designated cases from 0 in FY 2024 to 12 in FY 2025. These Homeland Security Task Force cases supplant former Homeland Security Investigations HOMECORT and Homeland Security Investigations Strategic Network Dismantlement Project cases, as well as subsume many Organized Crime Drug Enforcement Task Forces designations.
Measure 2: Percent of Detected Events Successfully Handed-off to Interdiction and Apprehension Resources
Percentage of Western Hemisphere illicit trafficking events, as estimated by interagency and international intelligence activities, detected and successfully handed-off to interdiction and apprehension arrests by Joint Interagency Task Force-South. A successful hand-off is defined as positive communications with Interdiction and Apprehension resources providing cueing about a drug trafficking target.
In FY 2025, Joint Interagency Task Force-South’s detection and monitoring efforts led to the seizure of over 450 metric tons of cocaine while also remanding 219 traffickers to Department of Justice custody. Performance measure results indicate a high level of efficiency and effectiveness in command and control, with nearly 80% of detected events successfully handed off to interdiction resources. While slightly shy of its 80% (79%) performance target for FY 2025, Joint Interagency Task Force-South demonstrated a considerable improvement over the 70% achieved in FY 2024. To improve performance, Joint Interagency Task Force-South focused on enhancing internal processes for more rapid information sharing with partners and leveraging innovative technologies to optimize detection capabilities. The strategic deployment of U.S. Government assets such as maritime patrol aircraft to the Galapagos Islands, as well as a late Fiscal Year surge in U.S. Coast Guard and U.S. Navy assets, also helped contribute to positive performance this year.
" }, "Uploads": [] } ] }, { "Name": "Part 5", "Description": "", "Type": "Tab", "Children": [ { "Name": "Part 5 Grid", "Description": "", "Type": "Grid", "Code": "OP5PART5", "Columns": [ { "Code": "RowText", "Text": "", "Group": "", "Level": 0, "Order": 2.0, "Type": "text" }, { "Code": "Py", "Text": "FY 2025", "Group": "", "Level": 0, "Order": 3.0, "Type": "numeric" }, { "Code": "Cy", "Text": "FY 2026", "Group": "", "Level": 0, "Order": 4.0, "Type": "numeric" }, { "Code": "By1", "Text": "FY 2027", "Group": "", "Level": 0, "Order": 5.0, "Type": "numeric" }, { "Code": "ChanPyCy", "Text": "Change \\n FY 2025/ \\n FY 2026", "Group": "", "Level": 0, "Order": 6.0, "Type": "numeric" }, { "Code": "ChanCyBy1", "Text": "Change \\n FY 2026/ \\n FY 2027", "Group": "", "Level": 0, "Order": 7.0, "Type": "numeric" } ], "Rows": [ { "Code": "DEPSCNS_Blnk", "Type": "blank", "Cells": [] }, { "Code": "DEPSCNS_ActiMiliEndStreTota", "Type": "total", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Active Military End Strength (E/S) (Total)", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "263", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "263", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "263", "NarrativeData": null }, { "ColumnCode": "ChanPyCy", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "ChanCyBy1", "Type": "numeric", "Value": "0", "NarrativeData": null } ] }, { "Code": "DEPSCNS_ActiMiliEndStreTotaOffi", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Officer", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "79", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "79", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "79", "NarrativeData": null }, { "ColumnCode": "ChanPyCy", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "ChanCyBy1", "Type": "numeric", "Value": "0", "NarrativeData": null } ] }, { "Code": "DEPSCNS_ActiMiliEndStreTotaEnli", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Enlisted", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "184", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "184", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "184", "NarrativeData": null }, { "ColumnCode": "ChanPyCy", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "ChanCyBy1", "Type": "numeric", "Value": "0", "NarrativeData": null } ] }, { "Code": "DEPSCNS_ActiMiliEndStreTotaBlnk", "Type": "blank", "Cells": [] }, { "Code": "DEPSCNS_ReseOnFullTimeActiDutyEsTota", "Type": "total", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Reservists on Full Time Active Duty (E/S) (Total)", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "571", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "571", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "571", "NarrativeData": null }, { "ColumnCode": "ChanPyCy", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "ChanCyBy1", "Type": "numeric", "Value": "0", "NarrativeData": null } ] }, { "Code": "DEPSCNS_ReseOnFullTimeActiDutyEsTotaOffi", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Officer", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "171", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "171", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "171", "NarrativeData": null }, { "ColumnCode": "ChanPyCy", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "ChanCyBy1", "Type": "numeric", "Value": "0", "NarrativeData": null } ] }, { "Code": "DEPSCNS_ReseOnFullTimeActiDutyEsTotaEnli", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Enlisted", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "400", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "400", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "400", "NarrativeData": null }, { "ColumnCode": "ChanPyCy", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "ChanCyBy1", "Type": "numeric", "Value": "0", "NarrativeData": null } ] }, { "Code": "DEPSCNS_ReseOnFullTimeActiDutyEsTotaBlnk", "Type": "blank", "Cells": [] }, { "Code": "DEPSCNS_CiviEndStreTota", "Type": "total", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Civilian End Strength (Total)", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "750", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "726", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "731", "NarrativeData": null }, { "ColumnCode": "ChanPyCy", "Type": "numeric", "Value": "-24", "NarrativeData": null }, { "ColumnCode": "ChanCyBy1", "Type": "numeric", "Value": "5", "NarrativeData": null } ] }, { "Code": "DEPSCNS_CiviEndStreTotaUsDireHire", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "U.S. Direct Hire ", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "744", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "720", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "725", "NarrativeData": null }, { "ColumnCode": "ChanPyCy", "Type": "numeric", "Value": "-24", "NarrativeData": null }, { "ColumnCode": "ChanCyBy1", "Type": "numeric", "Value": "5", "NarrativeData": null } ] }, { "Code": "DEPSCNS_CiviEndStreTotaForeNatiDireHire", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Foreign National Direct Hire", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "6", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "6", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "6", "NarrativeData": null }, { "ColumnCode": "ChanPyCy", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "ChanCyBy1", "Type": "numeric", "Value": "0", "NarrativeData": null } ] }, { "Code": "DEPSCNS_CiviEndStreTotaTotaDireHire", "Type": "subtotal", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Total Direct Hire", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "750", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "726", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "731", "NarrativeData": null }, { "ColumnCode": "ChanPyCy", "Type": "numeric", "Value": "-24", "NarrativeData": null }, { "ColumnCode": "ChanCyBy1", "Type": "numeric", "Value": "5", "NarrativeData": null } ] }, { "Code": "DEPSCNS_CiviEndStreTotaBlnk", "Type": "blank", "Cells": [] }, { "Code": "DEPSCNS_ActiMiliAverStreTota", "Type": "total", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Active Military Average Strength (A/S) (Total)", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "263", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "263", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "263", "NarrativeData": null }, { "ColumnCode": "ChanPyCy", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "ChanCyBy1", "Type": "numeric", "Value": "0", "NarrativeData": null } ] }, { "Code": "DEPSCNS_ActiMiliAverStreTotaOffi", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Officer", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "79", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "79", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "79", "NarrativeData": null }, { "ColumnCode": "ChanPyCy", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "ChanCyBy1", "Type": "numeric", "Value": "0", "NarrativeData": null } ] }, { "Code": "DEPSCNS_ActiMiliAverStreTotaEnli", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Enlisted", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "184", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "184", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "184", "NarrativeData": null }, { "ColumnCode": "ChanPyCy", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "ChanCyBy1", "Type": "numeric", "Value": "0", "NarrativeData": null } ] }, { "Code": "DEPSCNS_ActiMiliAverStreTotaBlnk", "Type": "blank", "Cells": [] }, { "Code": "DEPSCNS_ReseOnFullTimeActiDutyAsTota", "Type": "total", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Reservists on Full Time Active Duty (A/S) (Total)", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "571", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "571", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "571", "NarrativeData": null }, { "ColumnCode": "ChanPyCy", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "ChanCyBy1", "Type": "numeric", "Value": "0", "NarrativeData": null } ] }, { "Code": "DEPSCNS_ReseOnFullTimeActiDutyAsTotaOffi", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Officer", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "171", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "171", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "171", "NarrativeData": null }, { "ColumnCode": "ChanPyCy", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "ChanCyBy1", "Type": "numeric", "Value": "0", "NarrativeData": null } ] }, { "Code": "DEPSCNS_ReseOnFullTimeActiDutyAsTotaEnli", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Enlisted", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "400", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "400", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "400", "NarrativeData": null }, { "ColumnCode": "ChanPyCy", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "ChanCyBy1", "Type": "numeric", "Value": "0", "NarrativeData": null } ] }, { "Code": "DEPSCNS_ReseOnFullTimeActiDutyAsTotaBlnk", "Type": "blank", "Cells": [] }, { "Code": "DEPSCNS_CiviFtesTota", "Type": "total", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Civilian FTEs (Total)", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "750", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "726", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "731", "NarrativeData": null }, { "ColumnCode": "ChanPyCy", "Type": "numeric", "Value": "-24", "NarrativeData": null }, { "ColumnCode": "ChanCyBy1", "Type": "numeric", "Value": "5", "NarrativeData": null } ] }, { "Code": "DEPSCNS_CiviFtesTotaUsDireHire", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "U.S. Direct Hire", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "744", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "720", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "725", "NarrativeData": null }, { "ColumnCode": "ChanPyCy", "Type": "numeric", "Value": "-24", "NarrativeData": null }, { "ColumnCode": "ChanCyBy1", "Type": "numeric", "Value": "5", "NarrativeData": null } ] }, { "Code": "DEPSCNS_CiviFtesTotaForeNatiDireHire", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Foreign National Direct Hire", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "6", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "6", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "6", "NarrativeData": null }, { "ColumnCode": "ChanPyCy", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "ChanCyBy1", "Type": "numeric", "Value": "0", "NarrativeData": null } ] }, { "Code": "DEPSCNS_CiviFtesTotaTotaDireHire", "Type": "subtotal", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Total Direct Hire", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "750", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "726", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "731", "NarrativeData": null }, { "ColumnCode": "ChanPyCy", "Type": "numeric", "Value": "-24", "NarrativeData": null }, { "ColumnCode": "ChanCyBy1", "Type": "numeric", "Value": "5", "NarrativeData": null } ] }, { "Code": "DEPSCNS_CiviFtesTotaBlnk", "Type": "blank", "Cells": [] }, { "Code": "DEPSCNS_AverAnnuCiviSalaDollInThou", "Type": "total", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Average Annual Civilian Salary ($ in thousands)", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "196.1", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "198.2", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "198.7", "NarrativeData": null }, { "ColumnCode": "ChanPyCy", "Type": "numeric", "Value": "2.2", "NarrativeData": null }, { "ColumnCode": "ChanCyBy1", "Type": "numeric", "Value": "0.5", "NarrativeData": null } ] }, { "Code": "DEPSCNS_AverAnnuCiviSalaDollInThouBlnk", "Type": "blank", "Cells": [] }, { "Code": "DEPSCNS_ContFtesTota", "Type": "total", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Contractor FTEs (Total)", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "1,014", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "1,014", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "1,014", "NarrativeData": null }, { "ColumnCode": "ChanPyCy", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "ChanCyBy1", "Type": "numeric", "Value": "0", "NarrativeData": null } ] } ] }, { "Name": "Part 5 Toggle", "Description": "", "Type": "Toggle", "ToggleOrder": "uploadtext", "Text": { "Enccoding": "HTML", "Value": "Active Military Strength reflects manpower support to Counter-Narcotics Support program, funded by the Military Departments.
Estimates represent Reservists, Civilians, and Contractors who are funded annually from the Drug Interdiction and Counter-Drug Activities, Defense appropriation, a Central Transfer Account, to the Military Departments and Defense Agencies.
Civilian net increase of +5 FTEs due to positions being coded as exempt for the FY 2026 Efficiency - Workforce Optimization initiative. This initiative reduces civilian personnel full-time equivalents and funding to optimize the workforce in compliance with Executive Order 14210, \"Implementing the President's Department of Government Efficiency Workforce Optimization Initiative.\"
" }, "Uploads": [] } ] }, { "Name": "Part OP-32A", "Description": "", "Type": "Tab", "Children": [ { "Name": "OP-32A View Tab Strip", "Description": "", "Type": "Tab Strip", "Children": [ { "Name": "OP-32A Combined View Tab", "Description": "", "Type": "Tab", "Children": [ { "Name": "Part OP-32A Combined Grid", "Description": "", "Type": "Grid", "Code": "Op5PartOp32A", "Columns": [ { "Code": "Blnk1", "Text": "", "Group": "", "Level": 1, "Order": 15.0, "Type": "numeric" }, { "Code": "ChanFromPyToCy", "Text": "Change from FY 2025 to FY 2026", "Group": "", "Level": 1, "Order": 16.0, "Type": "numeric" }, { "Code": "Blnk2", "Text": "", "Group": "", "Level": 1, "Order": 17.0, "Type": "numeric" }, { "Code": "ChanFromCyToBy1", "Text": "Change from FY 2026 to FY 2027", "Group": "", "Level": 1, "Order": 18.0, "Type": "numeric" }, { "Code": "Blnk3", "Text": "", "Group": "", "Level": 1, "Order": 19.0, "Type": "numeric" }, { "Code": "Line", "Text": "", "Group": "", "Level": 0, "Order": 1.0, "Type": "text" }, { "Code": "RowText", "Text": "", "Group": "", "Level": 0, "Order": 3.0, "Type": "text" }, { "Code": "Py", "Text": "FY 2025 \\n Program", "Group": "", "Level": 0, "Order": 4.0, "Type": "numeric" }, { "Code": "PyCyPricGrowPerc", "Text": "Price Growth \\n Percent", "Group": "", "Level": 0, "Order": 6.0, "Type": "percent" }, { "Code": "PyCyPricGrow", "Text": "Price \\n Growth", "Group": "", "Level": 0, "Order": 7.0, "Type": "numeric" }, { "Code": "PyCyProgGrow", "Text": "Program \\n Growth", "Group": "", "Level": 0, "Order": 8.0, "Type": "numeric" }, { "Code": "Cy", "Text": "FY 2026 \\n Program", "Group": "", "Level": 0, "Order": 9.0, "Type": "numeric" }, { "Code": "CyBy1PricGrowPerc", "Text": "Price Growth \\n Percent", "Group": "", "Level": 0, "Order": 11.0, "Type": "percent" }, { "Code": "CyBy1PricGrow", "Text": "Price \\n Growth", "Group": "", "Level": 0, "Order": 12.0, "Type": "numeric" }, { "Code": "CyBy1ProgGrow", "Text": "Program \\n Growth", "Group": "", "Level": 0, "Order": 13.0, "Type": "numeric" }, { "Code": "By1", "Text": "FY 2027 \\n Program", "Group": "", "Level": 0, "Order": 14.0, "Type": "numeric" } ], "Rows": [ { "Code": "DEPSCNS_0101", "Type": "data", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "101", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "EXEC, GEN’L & SPEC SCHEDS ", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "147,053", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "percent", "Value": "1.280", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "1,882", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "-5,021", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "143,914", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "percent", "Value": "0.276", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "397", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "950", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "145,261", "NarrativeData": null } ] }, { "Code": "DEPSCNS_0199_Tota", "Type": "total", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "0199", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "TOTAL CIVILIAN PERSONNEL COMPENSATION", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "147,053", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "blank", "Value": "0", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "1,882", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "-5,021", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "143,914", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "blank", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "397", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "950", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "145,261", "NarrativeData": null } ] }, { "Code": "DEPSCNS_0199_Tota_BlnkRow", "Type": "blank", "Cells": [] }, { "Code": "DEPSCNS_0308", "Type": "data", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "308", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "TRAVEL OF PERSONS ", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "2,822", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "percent", "Value": "2.100", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "59", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "-92", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "2,789", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "percent", "Value": "2.100", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "59", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "2,848", "NarrativeData": null } ] }, { "Code": "DEPSCNS_0399_Tota", "Type": "total", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "0399", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "TOTAL TRAVEL", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "2,822", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "blank", "Value": "0", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "59", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "-92", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "2,789", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "blank", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "59", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "2,848", "NarrativeData": null } ] }, { "Code": "DEPSCNS_0399_Tota_BlnkRow", "Type": "blank", "Cells": [] }, { "Code": "DEPSCNS_0401", "Type": "data", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "401", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "DLA ENERGY (FUEL PRODUCTS) ", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "6,713", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "percent", "Value": "1.102", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "74", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "-58", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "6,729", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "percent", "Value": "-7.084", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "-477", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "348", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "6,600", "NarrativeData": null } ] }, { "Code": "DEPSCNS_0411", "Type": "data", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "411", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "ARMY SUPPLY", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "15,774", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "percent", "Value": "1.695", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "267", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "-578", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "15,463", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "percent", "Value": "6.686", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "1,034", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "-178", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "16,319", "NarrativeData": null } ] }, { "Code": "DEPSCNS_0412", "Type": "data", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "412", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "NAVY MANAGED SUPPLY, MATL ", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "17,137", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "percent", "Value": "0.150", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "26", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "-433", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "16,730", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "percent", "Value": "2.131", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "357", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "-34", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "17,053", "NarrativeData": null } ] }, { "Code": "DEPSCNS_0413", "Type": "data", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "413", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "MARINE CORPS SUPPLY", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "544", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "percent", "Value": "-13.141", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "-71", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "72", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "545", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "percent", "Value": "-18.542", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "-101", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "112", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "556", "NarrativeData": null } ] }, { "Code": "DEPSCNS_0414", "Type": "data", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "414", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "AIR FORCE CONSOL SUST AG (SUPPLY)", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "607", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "percent", "Value": "5.780", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "35", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "-33", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "609", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "percent", "Value": "4.540", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "28", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "5", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "642", "NarrativeData": null } ] }, { "Code": "DEPSCNS_0416", "Type": "data", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "416", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "GSA SUPPLIES & MATERIALS ", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "9,667", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "percent", "Value": "2.100", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "203", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "-179", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "9,691", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "percent", "Value": "2.100", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "204", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "9,895", "NarrativeData": null } ] }, { "Code": "DEPSCNS_0417", "Type": "data", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "417", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "LOCAL PURCH SUPPLIES & MAT ", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "7,182", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "percent", "Value": "2.100", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "151", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "-134", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "7,199", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "percent", "Value": "2.100", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "151", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "7,350", "NarrativeData": null } ] }, { "Code": "DEPSCNS_0499_Tota", "Type": "total", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "0499", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "TOTAL DEFENSE WORKING CAPITAL FUND SUPPLIES AND MATERIALS", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "57,624", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "blank", "Value": "0", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "684", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "-1,342", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "56,966", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "blank", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "1,195", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "254", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "58,415", "NarrativeData": null } ] }, { "Code": "DEPSCNS_0499_Tota_BlnkRow", "Type": "blank", "Cells": [] }, { "Code": "DEPSCNS_0705", "Type": "data", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "705", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "AMC CHANNEL CARGO ", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "756", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "percent", "Value": "74.800", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "565", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "-564", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "757", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "percent", "Value": "-1.991", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "-15", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "120", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "862", "NarrativeData": null } ] }, { "Code": "DEPSCNS_0708", "Type": "data", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "708", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "MSC CHARTERED CARGO ", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "28,883", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "percent", "Value": "2.100", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "607", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "-537", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "28,953", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "percent", "Value": "2.100", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "608", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "29,561", "NarrativeData": null } ] }, { "Code": "DEPSCNS_0771", "Type": "data", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "771", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "COMMERCIAL TRANSPORT ", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "10,334", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "percent", "Value": "2.100", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "217", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "-168", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "10,383", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "percent", "Value": "2.100", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "218", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "10,601", "NarrativeData": null } ] }, { "Code": "DEPSCNS_0799_Tota", "Type": "total", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "0799", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "TOTAL TRANSPORTATION", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "39,973", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "blank", "Value": "0", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "1,389", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "-1,269", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "40,093", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "blank", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "811", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "120", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "41,024", "NarrativeData": null } ] }, { "Code": "DEPSCNS_0799_Tota_BlnkRow", "Type": "blank", "Cells": [] }, { "Code": "DEPSCNS_0913", "Type": "data", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "913", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "PURCHASED UTILITIES (NON-FUND) ", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "7,149", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "percent", "Value": "2.100", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "150", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "-116", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "7,183", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "percent", "Value": "2.100", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "151", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "7,334", "NarrativeData": null } ] }, { "Code": "DEPSCNS_0914", "Type": "data", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "914", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "PURCHASED COMMUNICATIONS (NON-FUND) ", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "17,519", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "percent", "Value": "2.100", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "368", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "-286", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "17,601", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "percent", "Value": "2.100", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "370", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "17,971", "NarrativeData": null } ] }, { "Code": "DEPSCNS_0915", "Type": "data", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "915", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "RENTS (NON-GSA) ", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "4,990", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "percent", "Value": "2.100", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "105", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "-81", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "5,014", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "percent", "Value": "2.100", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "105", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "5,119", "NarrativeData": null } ] }, { "Code": "DEPSCNS_0920", "Type": "data", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "920", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "SUPPLIES & MATERIALS (NON-FUND)", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "73,250", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "percent", "Value": "2.100", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "1,538", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "-143", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "74,645", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "percent", "Value": "2.100", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "1,568", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "76,213", "NarrativeData": null } ] }, { "Code": "DEPSCNS_0922", "Type": "data", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "922", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "EQUIPMENT MAINTENANCE BY CONTRACT ", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "101,318", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "percent", "Value": "2.100", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "2,128", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "25,518", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "128,964", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "percent", "Value": "2.100", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "2,708", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "-34,524", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "97,148", "NarrativeData": null } ] }, { "Code": "DEPSCNS_0923", "Type": "data", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "923", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "FACILITIES SUST, REST, & MOD BY CONTRACT", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "36,630", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "percent", "Value": "2.100", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "769", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "-680", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "36,719", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "percent", "Value": "2.100", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "771", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "37,490", "NarrativeData": null } ] }, { "Code": "DEPSCNS_0925", "Type": "data", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "925", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "EQUIPMENT PURCHASES (NON-FUND) ", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "67,922", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "percent", "Value": "2.100", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "1,426", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "-1,295", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "68,053", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "percent", "Value": "2.100", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "1,429", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "69,482", "NarrativeData": null } ] }, { "Code": "DEPSCNS_0926", "Type": "data", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "926", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "OTHER OVERSEAS PURCHASES ", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "1,775", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "percent", "Value": "2.100", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "37", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "-29", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "1,783", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "percent", "Value": "2.100", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "37", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "1,820", "NarrativeData": null } ] }, { "Code": "DEPSCNS_0927", "Type": "data", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "927", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "AIR DEF CONTRACTS & SPACE SUPPORT (AF)", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "26,159", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "percent", "Value": "2.100", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "549", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "-486", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "26,222", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "percent", "Value": "2.100", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "551", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "26,773", "NarrativeData": null } ] }, { "Code": "DEPSCNS_0932", "Type": "data", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "932", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "MGT PROF SUPPORT SVCS ", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "4,377", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "percent", "Value": "2.100", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "92", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "-71", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "4,398", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "percent", "Value": "2.100", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "92", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "4,490", "NarrativeData": null } ] }, { "Code": "DEPSCNS_0933", "Type": "data", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "933", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "STUDIES, ANALYSIS & EVAL ", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "4,119", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "percent", "Value": "2.100", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "86", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "-65", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "4,140", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "percent", "Value": "2.100", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "87", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "4,227", "NarrativeData": null } ] }, { "Code": "DEPSCNS_0934", "Type": "data", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "934", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "ENGINEERING & TECH SVCS ", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "10,377", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "percent", "Value": "2.100", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "218", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "-169", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "10,426", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "percent", "Value": "2.100", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "219", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "10,645", "NarrativeData": null } ] }, { "Code": "DEPSCNS_0937", "Type": "data", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "937", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "LOCALLY PURCHASED FUEL (NON-FUND) ", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "1,679", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "percent", "Value": "1.102", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "19", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "-14", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "1,684", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "percent", "Value": "-7.084", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "-119", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "87", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "1,652", "NarrativeData": null } ] }, { "Code": "DEPSCNS_0951", "Type": "data", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "951", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "OTHER COSTS (SPECIAL PERSONAL SVC PAY)", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "32,599", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "percent", "Value": "0.000", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "-881", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "31,718", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "percent", "Value": "0.000", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "31,718", "NarrativeData": null } ] }, { "Code": "DEPSCNS_0984", "Type": "data", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "984", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "EQUIPMENT CONTRACTS ", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "1,567", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "percent", "Value": "2.100", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "33", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "-25", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "1,575", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "percent", "Value": "2.100", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "33", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "1,608", "NarrativeData": null } ] }, { "Code": "DEPSCNS_0987", "Type": "data", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "987", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "OTHER INTRA-GOVT PURCH ", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "2,904", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "percent", "Value": "2.100", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "61", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "-47", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "2,918", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "percent", "Value": "2.100", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "61", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "1,792", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "4,771", "NarrativeData": null } ] }, { "Code": "DEPSCNS_0989", "Type": "data", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "989", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "OTHER SERVICES ", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "3,627", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "percent", "Value": "2.100", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "76", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "-61", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "3,642", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "percent", "Value": "2.100", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "76", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "3,718", "NarrativeData": null } ] }, { "Code": "DEPSCNS_0990", "Type": "data", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "990", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "IT CONTRACT SUPPORT SERVICES", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "8,269", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "percent", "Value": "2.100", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "174", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "-153", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "8,290", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "percent", "Value": "2.100", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "174", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "8,464", "NarrativeData": null } ] }, { "Code": "DEPSCNS_0999_Tota", "Type": "total", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "0999", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "TOTAL OTHER PURCHASES", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "406,230", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "blank", "Value": "0", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "7,829", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "20,916", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "434,975", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "blank", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "8,314", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "-32,646", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "410,643", "NarrativeData": null } ] }, { "Code": "DEPSCNS_0999_Tota_BlnkRow", "Type": "blank", "Cells": [] }, { "Code": "DEPSCNS_9999_GranTota", "Type": "total", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "9999", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "GRAND TOTAL", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "653,702", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "blank", "Value": "0", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "11,843", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "13,192", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "678,737", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "blank", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "10,776", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "-31,322", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "658,191", "NarrativeData": null } ] } ] } ] }, { "Name": "OP-32A Non-Supp View Tab", "Type": "Tab", "Description": "", "MissingExtraData": "This component has no word or json doc" }, { "Name": "OP-32A Supp View Tab", "Type": "Tab", "Description": "", "MissingExtraData": "This component has no word or json doc" } ] }, { "Name": "Part OP-32A Footnote", "Description": "", "Type": "Toggle", "ToggleOrder": "text", "Text": { "Enccoding": "HTML", "Value": "
Totals may not add due to rounding.
" }, "Uploads": [] } ] }, { "Name": "Part 6", "Type": "Tab", "Description": "", "MissingExtraData": "This component has no word or json doc" } ] } ] } }, { "Metadata": { "SourceSystem": "EAS", "ServiceAgencyAcronym": "CNSP", "ServiceAgencyName": "Drug Interdiction and Counter-Drug Activities, Defense", "BudgetYear": "2026", "BudgetCycle": "PB", "SubmissionDate": "April 2026", "AppropriationNumber": "0105D" }, "GeneratedOutput": { "Name": "OP-5 BA02", "Type": "Exhibit", "Description": "Detail by Subactivity Group 2FU1", "Code": "DEPSDDRPOp5SC", "Children": [ { "Name": "SAG Parts", "Description": "", "Type": "Tab Strip", "Children": [ { "Name": "Part 1", "Description": "", "Type": "Tab", "Children": [ { "Name": "Part 1 Grid", "Description": "", "Type": "Grid", "Code": "Op5Part1", "Columns": [ { "Code": "RowText", "Text": "Appropriation Summary ($ in Thousands) ", "Group": "", "Level": 0, "Order": 1.0, "Type": "text" }, { "Code": "Py", "Text": "FY 2025\\n Enacted", "Group": "", "Level": 0, "Order": 2.0, "Type": "numeric" }, { "Code": "PyCyPricChan", "Text": "Price\\n Change", "Group": "", "Level": 0, "Order": 3.0, "Type": "numeric" }, { "Code": "PyCyProgChan", "Text": "Program\\n Change", "Group": "", "Level": 0, "Order": 4.0, "Type": "numeric" }, { "Code": "Cy", "Text": "FY 2026\\n Enacted", "Group": "", "Level": 0, "Order": 5.0, "Type": "numeric" }, { "Code": "CyBy1PricChan", "Text": "Price\\n Change", "Group": "", "Level": 0, "Order": 6.0, "Type": "numeric" }, { "Code": "CyBy1ProgChan", "Text": "Program\\n Change", "Group": "", "Level": 0, "Order": 7.0, "Type": "numeric" }, { "Code": "By1", "Text": "FY 2027\\n Request", "Group": "", "Level": 0, "Order": 8.0, "Type": "numeric" } ], "Rows": [ { "Code": "DEPSDDRP_Clie", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Drug Demand Reduction Program", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "135,567", "NarrativeData": null }, { "ColumnCode": "PyCyPricChan", "Type": "numeric", "Value": "2,245", "NarrativeData": null }, { "ColumnCode": "PyCyProgChan", "Type": "numeric", "Value": "-2,874", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "134,938", "NarrativeData": null }, { "ColumnCode": "CyBy1PricChan", "Type": "numeric", "Value": "1,727", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgChan", "Type": "numeric", "Value": "-920", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "135,745", "NarrativeData": null } ] } ] }, { "Name": "Part 1 Footnote", "Description": "", "Type": "Toggle", "ToggleOrder": "textupload", "Text": { "Enccoding": "HTML", "Value": "
In accordance with the Fiscal Year 2027 Appropriation Act Language \"for transfer to appropriations available to the Department of War for military personnel of the reserve components serving under the provisions of title 10 and title 32, United States Code; operation and maintenance; for procurement; and for research, development, test, and evaluation\" below is the Department of War projected transfer estimates by Fiscal Year and Public Law.
The FY 2027 request for Drug Interdiction and Counter-Drug Activities, Defense includes $135,745 thousand of discretionary and $0 thousand of mandatory for a total of $135,745 thousand to directly support the Drug Demand Reduction program.
The FY 2026 spend plan amount for Drug Interdiction and Counter-Drug Activities, Defense includes $134,938 thousand of discretionary and $0 thousand of mandatory for a total of $134,938 thousand to directly support the Drug Demand Reduction program.
The FY 2025 spend plan amount for Drug Interdiction and Counter-Drug Activities, Defense includes $135,567 thousand of discretionary and $0 thousand of mandatory for a total of $135,567 thousand to directly support the Drug Demand Reduction program.
The FY 2025 Enacted column reflects amounts transferred from the Drug Interdiction and Counter-Drug Activities, Defense appropriation, a Central Transfer Account, to the Military Departments and Defense Agencies.
" }, "Uploads": [] }, { "Name": "Part 1 Toggle", "Description": "", "Type": "Toggle", "ToggleOrder": "text", "Text": { "Enccoding": "HTML", "Value": "The Drug Demand Reduction budget activity funds programs to ensure the dangers of drug abuse and misuse within the Department of War are understood, prevented, identified, and treated to keep the fighting force at the highest levels of readiness. Prevention, education, and outreach programs focus on Department of War’s military and civilian communities designed to raise awareness of the adverse consequences of illicit drug use and prescription drug misuse on job performance, safety, health, family stability, fiscal security, and employment opportunities. Programs include illicit drug awareness and life-skills training for Service members and their families with a focus on maintaining readiness by ensuring a drug free workforce and workplace. Outreach services include programs to assist military and civilian employees in locating Department of War and local civilian agency resources to address substance abuse, dependency, or addiction. In addition to prevention and outreach efforts, this budget activity funds personnel, supplies, and materials that support installation level random drug testing specimen collection for all military service members, civilian personnel in testing designated positions, and pre-employment testing for applicants for military and civilian service. The Department of War operates five forensic drug testing laboratories (U.S. Army, Fort Meade, MD; U.S. Army, Tripler AMC, HI; U.S. Navy, Great Lakes IL; U.S. Navy, Jacksonville, FL; and U.S. Air Force, Lackland, TX). These laboratories conduct urinalysis testing for the presence of illegal drugs, novel synthetic drugs, and unauthorized prescription medications listed in the Department of War drug test panel. Funding supports laboratory personnel costs and overhead expenses related to test reagents, disposable supplies, and support services. The Fort Meade forensic testing laboratory is certified by the Substance Abuse and Mental Health Services Administration to analyze specimens from Department of War Agency civilians and civilian applicants in testing designated positions under the Drug-Free Workplace Program. The Great Lakes, IL forensic testing laboratory processes urinalysis samples for all military applicants from 65 Military Entrance Processing Stations worldwide. The Lackland, TX forensic testing laboratory processes the majority of National Guard Bureau Service member specimens.
Primary Authorities: 10 U.S.C. §978, 5 U.S.C. §7301.
" }, "Uploads": [] }, { "Name": "{v3a} Footnote Grid", "Type": "Grid", "Description": "", "MissingExtraData": "This component has no word or json doc" }, { "Name": "Part 1 {v3a} Footnote", "Type": "Toggle", "Description": "", "MissingExtraData": "This component has no word or json doc" } ] }, { "Name": "Part 2", "Description": "", "Type": "Tab", "Children": [ { "Name": "Part 2 Toggle", "Description": "", "Type": "Toggle", "ToggleOrder": "uploadtext", "Text": { "Enccoding": "HTML", "Value": "Office of the Secretary of War:
Under Secretary of War for Personnel and Readiness
Executive Director for Force Resiliency
Office of Drug Demand Reduction
Military Services:
Department of the Army
Department of the Navy
Department of the Air Force
United States Marine Corps
National Guard
Combat Support Agencies:
Defense Contract Management Agency
Defense Health Agency
Defense Information Systems Agency
Defense Intelligence Agency
Defense Logistics Agency
Defense Threat Reduction Agency
National Geospatial-Intelligence Agency
National Security Agency
Other Defense Agencies and Reporting Units:
Defense Contract Audit Agency
Defense Counterintelligence and Security Agency
Department of War Education Activity
Office of the Inspector General
Office of the Secretary of War
Washington Headquarters Services
The Department of War Drug Demand Reduction Program enables operational readiness and safety of the Total Force by deterring drug abuse through random drug testing; surveillance of emerging drug threats; prevention, education, and outreach efforts.
Measures of performance assigned to these activities are used by decision makers to: observe progress and measure actual results in comparison to expected results and operational objectives; guide the allocation of counterdrug and counter transnational organized crime budgetary resources during the annual planning, programming, budgeting, and execution process; provide management and oversight of Department of War counterdrug and countering transnational organized crime programs; and facilitate communications and engagements with internal and external stakeholders.
The National Drug Control Budget, published by the Office of National Drug Control Policy, is assembled by agency Budget Decision Units. The FY 2027 Department of War Drug Interdiction and Counter-Drug Activities, Defense budget request supports one Budget Decision Unit, titled Drug Interdiction and Counterdrug Activities. Information regarding measures of performance that are compiled and monitored by the Under Secretary of War for Personnel and Readiness, may be found in the Office of National Drug Control Policy National Drug Control Budget. Selected examples of FY 2025 qualitative and quantitative program performance results are provided in the following table, and accompanying narrative, to communicate Department of War's continued progress toward achieving operational objectives in support of the National Drug Control Program. These measures, including data sources, goals, and results are subject to a Department of War Inspector General Attestation Review at least once every three-years to ensure quality standards and reliability.
Measure 1: Department of War military personnel testing positive for drug use.
The Department of War's Drug Demand Reduction Program was mandated in 1981 and given the mission to deter Department of War personnel from abusing illicit drugs or misusing prescription drugs. The program components include compulsory random drug testing with punitive consequences and anti-drug education and outreach programs. The effectiveness of this program is measured by monitoring the prevalence of drug use from drug testing statistics published annually with a 2% or less urine drug positive rate for military personnel and to ensure 100% urine drug testing of every Service member is conducted annually. These goals were established as Well-Being of the Force Indicators in 2008 [1]. An additional source of determining the effectiveness of the Drug Demand Reduction Program is the Department of War Survey of Health-Related Behaviors. The Department of War survey is conducted every three years as an additional measure of effectiveness because it is independent from the drug testing program. The specific metric from the survey monitored is self-reported use of illicit drugs and misuse of prescription drugs within the past 30 days.
In Fiscal Year 2025 the percent of military personnel testing positive for drug use was 1.43%, 0.57% below the goal of 2% with a random testing rate of 176%.
Measure 2: Department of War civilian personnel testing positive for drug use.
The Department of War is on track to keep the illicit drug positive rate below 1% for civilian personnel, despite the Department expanding the drug testing panel to include commonly abused prescription drugs and synthetic marijuana (also known as Spice). Given the success of Department of War's civilian drug testing program, the random testing rate for civilians in testing-designated positions will be 50% of the workforce per year.
In Fiscal Year 2025 the percent of civilian personnel testing positive for drug use was 0.55%, 0.45% below the goal of 1% with a random testing rate of 53%.
______________________________
[1] Established in response to the Office of the Under Secretary of War (Personnel and Readiness) memorandum, \"Well-Being of the Force Indicators\", dated 3 March 2008. Goals were set at values substantially lower than what was reported in the Department of War's Surveys of Health-Related Behavior Among Military Personnel.
" }, "Uploads": [] } ] }, { "Name": "Part 5", "Description": "", "Type": "Tab", "Children": [ { "Name": "Part 5 Grid", "Description": "", "Type": "Grid", "Code": "OP5PART5", "Columns": [ { "Code": "RowText", "Text": "", "Group": "", "Level": 0, "Order": 2.0, "Type": "text" }, { "Code": "Py", "Text": "FY 2025", "Group": "", "Level": 0, "Order": 3.0, "Type": "numeric" }, { "Code": "Cy", "Text": "FY 2026", "Group": "", "Level": 0, "Order": 4.0, "Type": "numeric" }, { "Code": "By1", "Text": "FY 2027", "Group": "", "Level": 0, "Order": 5.0, "Type": "numeric" }, { "Code": "ChanPyCy", "Text": "Change \\n FY 2025/ \\n FY 2026", "Group": "", "Level": 0, "Order": 6.0, "Type": "numeric" }, { "Code": "ChanCyBy1", "Text": "Change \\n FY 2026/ \\n FY 2027", "Group": "", "Level": 0, "Order": 7.0, "Type": "numeric" } ], "Rows": [ { "Code": "DEPSDDRP_Blnk", "Type": "blank", "Cells": [] }, { "Code": "DEPSDDRP_ActiMiliEndStreTota", "Type": "total", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Active Military End Strength (E/S) (Total)", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "52", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "52", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "52", "NarrativeData": null }, { "ColumnCode": "ChanPyCy", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "ChanCyBy1", "Type": "numeric", "Value": "0", "NarrativeData": null } ] }, { "Code": "DEPSDDRP_ActiMiliEndStreTotaOffi", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Officer", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "48", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "48", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "48", "NarrativeData": null }, { "ColumnCode": "ChanPyCy", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "ChanCyBy1", "Type": "numeric", "Value": "0", "NarrativeData": null } ] }, { "Code": "DEPSDDRP_ActiMiliEndStreTotaEnli", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Enlisted", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "4", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "4", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "4", "NarrativeData": null }, { "ColumnCode": "ChanPyCy", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "ChanCyBy1", "Type": "numeric", "Value": "0", "NarrativeData": null } ] }, { "Code": "DEPSDDRP_ActiMiliEndStreTotaBlnk", "Type": "blank", "Cells": [] }, { "Code": "DEPSDDRP_ReseDrilStreEsTota", "Type": "total", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Reserve Drill Strength (E/S) (Total)", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "12", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "12", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "12", "NarrativeData": null }, { "ColumnCode": "ChanPyCy", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "ChanCyBy1", "Type": "numeric", "Value": "0", "NarrativeData": null } ] }, { "Code": "DEPSDDRP_ReseDrilStreEsTotaOffi", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Officer", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "6", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "6", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "6", "NarrativeData": null }, { "ColumnCode": "ChanPyCy", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "ChanCyBy1", "Type": "numeric", "Value": "0", "NarrativeData": null } ] }, { "Code": "DEPSDDRP_ReseDrilStreEsTotaEnli", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Enlisted", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "6", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "6", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "6", "NarrativeData": null }, { "ColumnCode": "ChanPyCy", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "ChanCyBy1", "Type": "numeric", "Value": "0", "NarrativeData": null } ] }, { "Code": "DEPSDDRP_ReseDrilStreEsTotaBlnk", "Type": "blank", "Cells": [] }, { "Code": "DEPSDDRP_ReseOnFullTimeActiDutyEsTota", "Type": "total", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Reservists on Full Time Active Duty (E/S) (Total)", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "4", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "4", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "4", "NarrativeData": null }, { "ColumnCode": "ChanPyCy", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "ChanCyBy1", "Type": "numeric", "Value": "0", "NarrativeData": null } ] }, { "Code": "DEPSDDRP_ReseOnFullTimeActiDutyEsTotaOffi", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Officer", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "2", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "2", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "2", "NarrativeData": null }, { "ColumnCode": "ChanPyCy", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "ChanCyBy1", "Type": "numeric", "Value": "0", "NarrativeData": null } ] }, { "Code": "DEPSDDRP_ReseOnFullTimeActiDutyEsTotaEnli", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Enlisted", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "2", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "2", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "2", "NarrativeData": null }, { "ColumnCode": "ChanPyCy", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "ChanCyBy1", "Type": "numeric", "Value": "0", "NarrativeData": null } ] }, { "Code": "DEPSDDRP_ReseOnFullTimeActiDutyEsTotaBlnk", "Type": "blank", "Cells": [] }, { "Code": "DEPSDDRP_CiviEndStreTota", "Type": "total", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Civilian End Strength (Total)", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "747", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "747", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "747", "NarrativeData": null }, { "ColumnCode": "ChanPyCy", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "ChanCyBy1", "Type": "numeric", "Value": "0", "NarrativeData": null } ] }, { "Code": "DEPSDDRP_CiviEndStreTotaUsDireHire", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "U.S. Direct Hire ", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "747", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "747", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "747", "NarrativeData": null }, { "ColumnCode": "ChanPyCy", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "ChanCyBy1", "Type": "numeric", "Value": "0", "NarrativeData": null } ] }, { "Code": "DEPSDDRP_CiviEndStreTotaTotaDireHire", "Type": "subtotal", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Total Direct Hire", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "747", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "747", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "747", "NarrativeData": null }, { "ColumnCode": "ChanPyCy", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "ChanCyBy1", "Type": "numeric", "Value": "0", "NarrativeData": null } ] }, { "Code": "DEPSDDRP_CiviEndStreTotaBlnk", "Type": "blank", "Cells": [] }, { "Code": "DEPSDDRP_ActiMiliAverStreTota", "Type": "total", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Active Military Average Strength (A/S) (Total)", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "52", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "52", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "52", "NarrativeData": null }, { "ColumnCode": "ChanPyCy", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "ChanCyBy1", "Type": "numeric", "Value": "0", "NarrativeData": null } ] }, { "Code": "DEPSDDRP_ActiMiliAverStreTotaOffi", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Officer", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "48", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "48", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "48", "NarrativeData": null }, { "ColumnCode": "ChanPyCy", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "ChanCyBy1", "Type": "numeric", "Value": "0", "NarrativeData": null } ] }, { "Code": "DEPSDDRP_ActiMiliAverStreTotaEnli", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Enlisted", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "4", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "4", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "4", "NarrativeData": null }, { "ColumnCode": "ChanPyCy", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "ChanCyBy1", "Type": "numeric", "Value": "0", "NarrativeData": null } ] }, { "Code": "DEPSDDRP_ActiMiliAverStreTotaBlnk", "Type": "blank", "Cells": [] }, { "Code": "DEPSDDRP_ReseDrilStreAsTota", "Type": "total", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Reserve Drill Strength (A/S) (Total)", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "12", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "12", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "12", "NarrativeData": null }, { "ColumnCode": "ChanPyCy", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "ChanCyBy1", "Type": "numeric", "Value": "0", "NarrativeData": null } ] }, { "Code": "DEPSDDRP_ReseDrilStreAsTotaOffi", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Officer", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "6", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "6", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "6", "NarrativeData": null }, { "ColumnCode": "ChanPyCy", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "ChanCyBy1", "Type": "numeric", "Value": "0", "NarrativeData": null } ] }, { "Code": "DEPSDDRP_ReseDrilStreAsTotaEnli", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Enlisted", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "6", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "6", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "6", "NarrativeData": null }, { "ColumnCode": "ChanPyCy", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "ChanCyBy1", "Type": "numeric", "Value": "0", "NarrativeData": null } ] }, { "Code": "DEPSDDRP_ReseDrilStreAsTotaBlnk", "Type": "blank", "Cells": [] }, { "Code": "DEPSDDRP_ReseOnFullTimeActiDutyAsTota", "Type": "total", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Reservists on Full Time Active Duty (A/S) (Total)", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "4", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "4", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "4", "NarrativeData": null }, { "ColumnCode": "ChanPyCy", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "ChanCyBy1", "Type": "numeric", "Value": "0", "NarrativeData": null } ] }, { "Code": "DEPSDDRP_ReseOnFullTimeActiDutyAsTotaOffi", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Officer", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "2", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "2", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "2", "NarrativeData": null }, { "ColumnCode": "ChanPyCy", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "ChanCyBy1", "Type": "numeric", "Value": "0", "NarrativeData": null } ] }, { "Code": "DEPSDDRP_ReseOnFullTimeActiDutyAsTotaEnli", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Enlisted", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "2", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "2", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "2", "NarrativeData": null }, { "ColumnCode": "ChanPyCy", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "ChanCyBy1", "Type": "numeric", "Value": "0", "NarrativeData": null } ] }, { "Code": "DEPSDDRP_ReseOnFullTimeActiDutyAsTotaBlnk", "Type": "blank", "Cells": [] }, { "Code": "DEPSDDRP_CiviFtesTota", "Type": "total", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Civilian FTEs (Total)", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "747", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "747", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "747", "NarrativeData": null }, { "ColumnCode": "ChanPyCy", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "ChanCyBy1", "Type": "numeric", "Value": "0", "NarrativeData": null } ] }, { "Code": "DEPSDDRP_CiviFtesTotaUsDireHire", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "U.S. Direct Hire", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "747", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "747", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "747", "NarrativeData": null }, { "ColumnCode": "ChanPyCy", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "ChanCyBy1", "Type": "numeric", "Value": "0", "NarrativeData": null } ] }, { "Code": "DEPSDDRP_CiviFtesTotaTotaDireHire", "Type": "subtotal", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Total Direct Hire", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "747", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "747", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "747", "NarrativeData": null }, { "ColumnCode": "ChanPyCy", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "ChanCyBy1", "Type": "numeric", "Value": "0", "NarrativeData": null } ] }, { "Code": "DEPSDDRP_CiviFtesTotaBlnk", "Type": "blank", "Cells": [] }, { "Code": "DEPSDDRP_AverAnnuCiviSalaDollInThou", "Type": "total", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Average Annual Civilian Salary ($ in thousands)", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "95.5", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "94.6", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "94.8", "NarrativeData": null }, { "ColumnCode": "ChanPyCy", "Type": "numeric", "Value": "-0.9", "NarrativeData": null }, { "ColumnCode": "ChanCyBy1", "Type": "numeric", "Value": "0.3", "NarrativeData": null } ] }, { "Code": "DEPSDDRP_AverAnnuCiviSalaDollInThouBlnk", "Type": "blank", "Cells": [] }, { "Code": "DEPSDDRP_ContFtesTota", "Type": "total", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Contractor FTEs (Total)", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "80", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "80", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "80", "NarrativeData": null }, { "ColumnCode": "ChanPyCy", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "ChanCyBy1", "Type": "numeric", "Value": "0", "NarrativeData": null } ] } ] }, { "Name": "Part 5 Toggle", "Description": "", "Type": "Toggle", "ToggleOrder": "text", "Text": { "Enccoding": "HTML", "Value": "
Active Military Strength reflects manpower support to the Drug Demand Reduction program, funded by the Military Departments.
Estimates represent Reservists, Civilians, and Contractors who are funded annually from the Drug Interdiction and Counter-Drug Activities, Defense appropriation, a Central Transfer Account, to the Military Departments and Defense Agencies.
" }, "Uploads": [] } ] }, { "Name": "Part OP-32A", "Description": "", "Type": "Tab", "Children": [ { "Name": "OP-32A View Tab Strip", "Description": "", "Type": "Tab Strip", "Children": [ { "Name": "OP-32A Combined View Tab", "Description": "", "Type": "Tab", "Children": [ { "Name": "Part OP-32A Combined Grid", "Description": "", "Type": "Grid", "Code": "Op5PartOp32A", "Columns": [ { "Code": "Blnk1", "Text": "", "Group": "", "Level": 1, "Order": 15.0, "Type": "numeric" }, { "Code": "ChanFromPyToCy", "Text": "Change from FY 2025 to FY 2026", "Group": "", "Level": 1, "Order": 16.0, "Type": "numeric" }, { "Code": "Blnk2", "Text": "", "Group": "", "Level": 1, "Order": 17.0, "Type": "numeric" }, { "Code": "ChanFromCyToBy1", "Text": "Change from FY 2026 to FY 2027", "Group": "", "Level": 1, "Order": 18.0, "Type": "numeric" }, { "Code": "Blnk3", "Text": "", "Group": "", "Level": 1, "Order": 19.0, "Type": "numeric" }, { "Code": "Line", "Text": "", "Group": "", "Level": 0, "Order": 1.0, "Type": "text" }, { "Code": "RowText", "Text": "", "Group": "", "Level": 0, "Order": 3.0, "Type": "text" }, { "Code": "Py", "Text": "FY 2025 \\n Program", "Group": "", "Level": 0, "Order": 4.0, "Type": "numeric" }, { "Code": "PyCyPricGrowPerc", "Text": "Price Growth \\n Percent", "Group": "", "Level": 0, "Order": 6.0, "Type": "percent" }, { "Code": "PyCyPricGrow", "Text": "Price \\n Growth", "Group": "", "Level": 0, "Order": 7.0, "Type": "numeric" }, { "Code": "PyCyProgGrow", "Text": "Program \\n Growth", "Group": "", "Level": 0, "Order": 8.0, "Type": "numeric" }, { "Code": "Cy", "Text": "FY 2026 \\n Program", "Group": "", "Level": 0, "Order": 9.0, "Type": "numeric" }, { "Code": "CyBy1PricGrowPerc", "Text": "Price Growth \\n Percent", "Group": "", "Level": 0, "Order": 11.0, "Type": "percent" }, { "Code": "CyBy1PricGrow", "Text": "Price \\n Growth", "Group": "", "Level": 0, "Order": 12.0, "Type": "numeric" }, { "Code": "CyBy1ProgGrow", "Text": "Program \\n Growth", "Group": "", "Level": 0, "Order": 13.0, "Type": "numeric" }, { "Code": "By1", "Text": "FY 2027 \\n Program", "Group": "", "Level": 0, "Order": 14.0, "Type": "numeric" } ], "Rows": [ { "Code": "DEPSDDRP_0101", "Type": "data", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "101", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "EXEC, GEN’L & SPEC SCHEDS ", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "71,304", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "percent", "Value": "1.280", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "913", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "-1,582", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "70,635", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "percent", "Value": "0.276", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "195", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "70,830", "NarrativeData": null } ] }, { "Code": "DEPSDDRP_0199_Tota", "Type": "total", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "0199", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "TOTAL CIVILIAN PERSONNEL COMPENSATION", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "71,304", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "blank", "Value": "0", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "913", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "-1,582", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "70,635", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "blank", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "195", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "70,830", "NarrativeData": null } ] }, { "Code": "DEPSDDRP_0199_Tota_BlnkRow", "Type": "blank", "Cells": [] }, { "Code": "DEPSDDRP_0308", "Type": "data", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "308", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "TRAVEL OF PERSONS ", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "1,249", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "percent", "Value": "2.100", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "26", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "1,275", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "percent", "Value": "2.100", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "27", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "1,302", "NarrativeData": null } ] }, { "Code": "DEPSDDRP_0399_Tota", "Type": "total", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "0399", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "TOTAL TRAVEL", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "1,249", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "blank", "Value": "0", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "26", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "1,275", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "blank", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "27", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "1,302", "NarrativeData": null } ] }, { "Code": "DEPSDDRP_0399_Tota_BlnkRow", "Type": "blank", "Cells": [] }, { "Code": "DEPSDDRP_0411", "Type": "data", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "411", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "ARMY SUPPLY", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "4,067", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "percent", "Value": "1.695", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "69", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "12", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "4,148", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "percent", "Value": "6.686", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "277", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "-47", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "4,378", "NarrativeData": null } ] }, { "Code": "DEPSDDRP_0416", "Type": "data", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "416", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "GSA SUPPLIES & MATERIALS ", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "666", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "percent", "Value": "2.100", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "14", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "-1", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "679", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "percent", "Value": "2.100", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "14", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "693", "NarrativeData": null } ] }, { "Code": "DEPSDDRP_0417", "Type": "data", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "417", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "LOCAL PURCH SUPPLIES & MAT ", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "8,686", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "percent", "Value": "2.100", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "182", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "-8", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "8,860", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "percent", "Value": "2.100", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "186", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "9,046", "NarrativeData": null } ] }, { "Code": "DEPSDDRP_0499_Tota", "Type": "total", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "0499", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "TOTAL DEFENSE WORKING CAPITAL FUND SUPPLIES AND MATERIALS", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "13,419", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "blank", "Value": "0", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "265", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "3", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "13,687", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "blank", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "478", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "-48", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "14,117", "NarrativeData": null } ] }, { "Code": "DEPSDDRP_0499_Tota_BlnkRow", "Type": "blank", "Cells": [] }, { "Code": "DEPSDDRP_0633", "Type": "data", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "633", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "DLA DOCUMENT SERVICES ", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "22", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "percent", "Value": "0.020", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "22", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "percent", "Value": "3.301", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "1", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "23", "NarrativeData": null } ] }, { "Code": "DEPSDDRP_0699_Tota", "Type": "total", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "0699", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "TOTAL OTHER FUND PURCHASES", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "22", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "blank", "Value": "0", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "22", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "blank", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "1", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "23", "NarrativeData": null } ] }, { "Code": "DEPSDDRP_0699_Tota_BlnkRow", "Type": "blank", "Cells": [] }, { "Code": "DEPSDDRP_0771", "Type": "data", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "771", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "COMMERCIAL TRANSPORT ", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "38", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "percent", "Value": "2.100", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "1", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "39", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "percent", "Value": "2.100", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "1", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "40", "NarrativeData": null } ] }, { "Code": "DEPSDDRP_0799_Tota", "Type": "total", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "0799", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "TOTAL TRANSPORTATION", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "38", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "blank", "Value": "0", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "1", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "39", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "blank", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "1", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "40", "NarrativeData": null } ] }, { "Code": "DEPSDDRP_0799_Tota_BlnkRow", "Type": "blank", "Cells": [] }, { "Code": "DEPSDDRP_0913", "Type": "data", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "913", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "PURCHASED UTILITIES (NON-FUND) ", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "528", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "percent", "Value": "2.100", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "11", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "539", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "percent", "Value": "2.100", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "11", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "550", "NarrativeData": null } ] }, { "Code": "DEPSDDRP_0914", "Type": "data", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "914", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "PURCHASED COMMUNICATIONS (NON-FUND) ", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "102", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "percent", "Value": "2.100", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "2", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "104", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "percent", "Value": "2.100", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "2", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "106", "NarrativeData": null } ] }, { "Code": "DEPSDDRP_0917", "Type": "data", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "917", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "POSTAL SERVICES (U.S.P.S) ", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "648", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "percent", "Value": "2.100", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "14", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "-1", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "661", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "percent", "Value": "2.100", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "14", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "675", "NarrativeData": null } ] }, { "Code": "DEPSDDRP_0920", "Type": "data", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "920", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "SUPPLIES & MATERIALS (NON-FUND)", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "18,096", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "percent", "Value": "2.100", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "380", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "-1,170", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "17,306", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "percent", "Value": "2.100", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "363", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "17,669", "NarrativeData": null } ] }, { "Code": "DEPSDDRP_0921", "Type": "data", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "921", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "PRINTING & REPRODUCTION ", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "289", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "percent", "Value": "2.100", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "6", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "295", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "percent", "Value": "2.100", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "6", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "301", "NarrativeData": null } ] }, { "Code": "DEPSDDRP_0922", "Type": "data", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "922", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "EQUIPMENT MAINTENANCE BY CONTRACT ", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "3,491", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "percent", "Value": "2.100", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "73", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "-3", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "3,561", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "percent", "Value": "2.100", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "75", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "3,636", "NarrativeData": null } ] }, { "Code": "DEPSDDRP_0923", "Type": "data", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "923", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "FACILITIES SUST, REST, & MOD BY CONTRACT", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "857", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "percent", "Value": "2.100", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "18", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "-1", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "874", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "percent", "Value": "2.100", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "18", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "892", "NarrativeData": null } ] }, { "Code": "DEPSDDRP_0925", "Type": "data", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "925", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "EQUIPMENT PURCHASES (NON-FUND) ", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "1,839", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "percent", "Value": "2.100", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "39", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "-2", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "1,876", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "percent", "Value": "2.100", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "39", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "1,915", "NarrativeData": null } ] }, { "Code": "DEPSDDRP_0932", "Type": "data", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "932", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "MGT PROF SUPPORT SVCS ", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "5,923", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "percent", "Value": "2.100", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "124", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "-6", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "6,041", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "percent", "Value": "2.100", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "127", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "6,168", "NarrativeData": null } ] }, { "Code": "DEPSDDRP_0987", "Type": "data", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "987", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "OTHER INTRA-GOVT PURCH ", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "520", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "percent", "Value": "2.100", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "11", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "-95", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "436", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "percent", "Value": "2.100", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "9", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "445", "NarrativeData": null } ] }, { "Code": "DEPSDDRP_0989", "Type": "data", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "989", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "OTHER SERVICES ", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "16,775", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "percent", "Value": "2.100", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "352", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "-16", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "17,111", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "percent", "Value": "2.100", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "359", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "-879", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "16,591", "NarrativeData": null } ] }, { "Code": "DEPSDDRP_0990", "Type": "data", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "990", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "IT CONTRACT SUPPORT SERVICES", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "467", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "percent", "Value": "2.100", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "10", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "-477", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "percent", "Value": "2.100", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "0", "NarrativeData": null } ] }, { "Code": "DEPSDDRP_0998", "Type": "data", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "998", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "OTHER COSTS (SOCOM ONLY) ", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "percent", "Value": "0.000", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "476", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "476", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "percent", "Value": "0.000", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "9", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "485", "NarrativeData": null } ] }, { "Code": "DEPSDDRP_0999_Tota", "Type": "total", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "0999", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "TOTAL OTHER PURCHASES", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "49,535", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "blank", "Value": "0", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "1,040", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "-1,295", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "49,280", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "blank", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "1,025", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "-872", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "49,433", "NarrativeData": null } ] }, { "Code": "DEPSDDRP_0999_Tota_BlnkRow", "Type": "blank", "Cells": [] }, { "Code": "DEPSDDRP_9999_GranTota", "Type": "total", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "9999", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "GRAND TOTAL", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "135,567", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "blank", "Value": "0", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "2,245", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "-2,874", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "134,938", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "blank", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "1,727", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "-920", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "135,745", "NarrativeData": null } ] } ] } ] }, { "Name": "OP-32A Non-Supp View Tab", "Type": "Tab", "Description": "", "MissingExtraData": "This component has no word or json doc" }, { "Name": "OP-32A Supp View Tab", "Type": "Tab", "Description": "", "MissingExtraData": "This component has no word or json doc" } ] }, { "Name": "Part OP-32A Footnote", "Description": "", "Type": "Toggle", "ToggleOrder": "text", "Text": { "Enccoding": "HTML", "Value": "
Totals may not add due to rounding.
" }, "Uploads": [] } ] }, { "Name": "Part 6", "Type": "Tab", "Description": "", "MissingExtraData": "This component has no word or json doc" } ] } ] } }, { "Metadata": { "SourceSystem": "EAS", "ServiceAgencyAcronym": "CNSP", "ServiceAgencyName": "Drug Interdiction and Counter-Drug Activities, Defense", "BudgetYear": "2026", "BudgetCycle": "PB", "SubmissionDate": "April 2026", "AppropriationNumber": "0105D" }, "GeneratedOutput": { "Name": "OP-5 BA03", "Type": "Exhibit", "Description": "Detail by Subactivity Group 3FU1", "Code": "DEPSNGCDPOp5SC", "Children": [ { "Name": "SAG Parts", "Description": "", "Type": "Tab Strip", "Children": [ { "Name": "Part 1", "Description": "", "Type": "Tab", "Children": [ { "Name": "Part 1 Grid", "Description": "", "Type": "Grid", "Code": "Op5Part1", "Columns": [ { "Code": "RowText", "Text": "Appropriation Summary ($ in Thousands) ", "Group": "", "Level": 0, "Order": 1.0, "Type": "text" }, { "Code": "Py", "Text": "FY 2025\\n Enacted", "Group": "", "Level": 0, "Order": 2.0, "Type": "numeric" }, { "Code": "PyCyPricChan", "Text": "Price\\n Change", "Group": "", "Level": 0, "Order": 3.0, "Type": "numeric" }, { "Code": "PyCyProgChan", "Text": "Program\\n Change", "Group": "", "Level": 0, "Order": 4.0, "Type": "numeric" }, { "Code": "Cy", "Text": "FY 2026\\n Enacted", "Group": "", "Level": 0, "Order": 5.0, "Type": "numeric" }, { "Code": "CyBy1PricChan", "Text": "Price\\n Change", "Group": "", "Level": 0, "Order": 6.0, "Type": "numeric" }, { "Code": "CyBy1ProgChan", "Text": "Program\\n Change", "Group": "", "Level": 0, "Order": 7.0, "Type": "numeric" }, { "Code": "By1", "Text": "FY 2027\\n Request", "Group": "", "Level": 0, "Order": 8.0, "Type": "numeric" } ], "Rows": [ { "Code": "DEPSNGCDP_Clie", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "National Guard Counter-Drug Program", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "295,000", "NarrativeData": null }, { "ColumnCode": "PyCyPricChan", "Type": "numeric", "Value": "199", "NarrativeData": null }, { "ColumnCode": "PyCyProgChan", "Type": "numeric", "Value": "9,801", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "305,000", "NarrativeData": null }, { "ColumnCode": "CyBy1PricChan", "Type": "numeric", "Value": "306", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgChan", "Type": "numeric", "Value": "-187,888", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "117,418", "NarrativeData": null } ] } ] }, { "Name": "Part 1 Footnote", "Description": "", "Type": "Toggle", "ToggleOrder": "textupload", "Text": { "Enccoding": "HTML", "Value": "
In accordance with the Fiscal Year 2027 Appropriation Act Language \"for transfer to appropriations available to the Department of War for military personnel of the reserve components serving under the provisions of title 10 and title 32, United States Code; operation and maintenance; for procurement; and for research, development, test, and evaluation\" below is the Department of War projected transfer estimates by Fiscal Year and Public Law.
The FY 2027 request for Drug Interdiction and Counter-Drug Activities, Defense includes $117,418 thousand of discretionary and $0 thousand of mandatory for a total of $117,418 thousand to directly support the National Guard Counter-Drug program.
The FY 2026 spend plan amount for Drug Interdiction and Counter-Drug Activities, Defense includes $305,000 thousand of discretionary and $0 thousand of mandatory for a total of $305,000 thousand to directly support the National Guard Counter-Drug program.
The FY 2025 spend plan amount for Drug Interdiction and Counter-Drug Activities, Defense includes $295,000 thousand of discretionary and $0 thousand of mandatory for a total of $295,000 thousand to directly support the National Guard Counter-Drug program.
The FY 2025 Enacted column reflects amounts transferred from the Drug Interdiction and Counter-Drug Activities, Defense appropriation, a Central Transfer Account, to the Military Departments and Defense Agencies.
" }, "Uploads": [] }, { "Name": "Part 1 Toggle", "Description": "", "Type": "Toggle", "ToggleOrder": "text", "Text": { "Enccoding": "HTML", "Value": "The National Guard Counter-Drug Program budget activity exclusively funds the Governors State Plans Program (Project 7403) in the form of drug interdiction and counterdrug activities plans submitted by U.S. State Governors in accordance with 32 U.S.C. §112(c) and approved by the Under Secretary of War for Policy per 32 U.S.C. §112(d).
Support multi-jurisdictional task forces, fusion centers and High Intensity Drug Trafficking Areas, to include newly established Homeland Security Task Forces in the identification of criminal networks’ key nodes and development of targets to disrupt and dismantle threat networks. Analysts act as force multipliers and bridge gaps between state, local and federal law enforcement partners.
Provide ground and aerial reconnaissance using organic military assets to assist law enforcement in identifying drug trafficking and cartel patterns for obtaining and executing arrest warrants.
Funds may be used for the following expenses: pay, allowances, clothing, subsistence, gratuities, travel, and related expenses, as authorized by State law, of personnel of the National Guard of that State used, while not in Federal service, for the purpose of drug interdiction and counterdrug activities; Operation and maintenance of the equipment and facilities of the National Guard of that State used for the purpose of drug interdiction and counterdrug activities; and procurement of services and equipment, and the leasing of equipment, for the National Guard of that State used for the purpose of drug interdiction and counterdrug activities.
Primary Authorities: 32 U.S.C. §112, National Guard, Drug Interdiction and Counter-Drug Activities.
" }, "Uploads": [] }, { "Name": "{v3a} Footnote Grid", "Type": "Grid", "Description": "", "MissingExtraData": "This component has no word or json doc" }, { "Name": "Part 1 {v3a} Footnote", "Type": "Toggle", "Description": "", "MissingExtraData": "This component has no word or json doc" } ] }, { "Name": "Part 2", "Description": "", "Type": "Tab", "Children": [ { "Name": "Part 2 Toggle", "Description": "", "Type": "Toggle", "ToggleOrder": "uploadtext", "Text": { "Enccoding": "HTML", "Value": "Office of the Secretary of War:
Under Secretary of War for Policy
Assistant Secretary of War for Special Operations/Low-Intensity Conflict
Deputy Assistant Secretary of War for Counternarcotics and Stabilization Policy
Military Services:
Department of the Army
Department of the Air Force
National Guard Components:
National Guard Bureau
Army National Guard
Air National Guard
54 National Guards of the U.S. States, Territories, and District of Columbia
32 U.S.C. § 112, National Guard, Drug Interdiction and Counter-Drug Activities authorized the Department of War to provide support to United States law enforcement agencies (Federal, State, Local, Tribal, and Coalition-Based Organizations), to detect and disrupt drug trafficking and other illicit threat network activities. Key Performance Indicator: The Department of War National Guard Counter-Drug Programs support to the High Intensity Drug Trafficking Area programs is a highlight/point of interest for The Office of National Drug Control Policy and Congress. The program provides active analytical support to the 33 regional High Intensity Drug Trafficking Areas enabling a persistent support mechanism for U.S. law enforcement partners to target, deter and disrupt illicit actors. Beginning in 2023 the Department of War initiated two new performance metrics to track National Guard support to the High Intensity Drug Trafficking Areas. The first metric measures the overall number of High Intensity Drug Trafficking Area missions supported and the second tracks the number of National Guard supported High Intensity Drug Trafficking Area-centric drug seizures conducted.
Measures of Performance FY 2024 FY 2025 FY 2026
National Guard Support to High Intensity Drug Trafficking Area Missions 1,088 1,701 1,701
National Guard Support to High Intensity Drug Trafficking Area-centric Drug Seizures 1,013 1,574 1,574
From FY 2024 to FY 2025, the number of National Guard State-Level support to National Guard Support to High Intensity Drug Trafficking Area missions increased by 56%. This growth is attributed to several factors, including improved data entry processes, increased program funding realized late in FY 2024 and sustained into FY 2025, and the inclusion of the Drug Demand Reduction mission. As a supporting entity, the National Guard’s involvement in National Guard Support to High Intensity Drug Trafficking Area missions remains contingent on National Guard Support to High Intensity Drug Trafficking Area requirements. The National Guard Bureau will continue to prioritize support for National Guard Support to High Intensity Drug Trafficking Areas through enhanced national-level engagement, regional coordination, and updated State Plans guidance. Additionally, National Guard Support Leading to Drug Seizures increased by 55% from FY 2024 to FY 2025. This rise in seizure activity is primarily due to improved data entry processes and increased mission support. The reporting does not specify seizure quantities or the total number of incidents. Moving forward, the National Guard Bureau will continue to enhance database management practices to best quantify the contributions of National Guard counterdrug support to the National Guard Support to High Intensity Drug Trafficking Areas.
Estimates represent Reservists and Contractors who are funded annually from the Drug Interdiction and Counter-Drug Activities, Defense appropriation, a Central Transfer Account, to the Military Departments and Defense Agencies.
32 United States Code, Section 112, paragraph e: \"e)
" }, "Uploads": [] } ] }, { "Name": "Part OP-32A", "Description": "", "Type": "Tab", "Children": [ { "Name": "OP-32A View Tab Strip", "Description": "", "Type": "Tab Strip", "Children": [ { "Name": "OP-32A Combined View Tab", "Description": "", "Type": "Tab", "Children": [ { "Name": "Part OP-32A Combined Grid", "Description": "", "Type": "Grid", "Code": "Op5PartOp32A", "Columns": [ { "Code": "Blnk1", "Text": "", "Group": "", "Level": 1, "Order": 15.0, "Type": "numeric" }, { "Code": "ChanFromPyToCy", "Text": "Change from FY 2025 to FY 2026", "Group": "", "Level": 1, "Order": 16.0, "Type": "numeric" }, { "Code": "Blnk2", "Text": "", "Group": "", "Level": 1, "Order": 17.0, "Type": "numeric" }, { "Code": "ChanFromCyToBy1", "Text": "Change from FY 2026 to FY 2027", "Group": "", "Level": 1, "Order": 18.0, "Type": "numeric" }, { "Code": "Blnk3", "Text": "", "Group": "", "Level": 1, "Order": 19.0, "Type": "numeric" }, { "Code": "Line", "Text": "", "Group": "", "Level": 0, "Order": 1.0, "Type": "text" }, { "Code": "RowText", "Text": "", "Group": "", "Level": 0, "Order": 3.0, "Type": "text" }, { "Code": "Py", "Text": "FY 2025 \\n Program", "Group": "", "Level": 0, "Order": 4.0, "Type": "numeric" }, { "Code": "PyCyPricGrowPerc", "Text": "Price Growth \\n Percent", "Group": "", "Level": 0, "Order": 6.0, "Type": "percent" }, { "Code": "PyCyPricGrow", "Text": "Price \\n Growth", "Group": "", "Level": 0, "Order": 7.0, "Type": "numeric" }, { "Code": "PyCyProgGrow", "Text": "Program \\n Growth", "Group": "", "Level": 0, "Order": 8.0, "Type": "numeric" }, { "Code": "Cy", "Text": "FY 2026 \\n Program", "Group": "", "Level": 0, "Order": 9.0, "Type": "numeric" }, { "Code": "CyBy1PricGrowPerc", "Text": "Price Growth \\n Percent", "Group": "", "Level": 0, "Order": 11.0, "Type": "percent" }, { "Code": "CyBy1PricGrow", "Text": "Price \\n Growth", "Group": "", "Level": 0, "Order": 12.0, "Type": "numeric" }, { "Code": "CyBy1ProgGrow", "Text": "Program \\n Growth", "Group": "", "Level": 0, "Order": 13.0, "Type": "numeric" }, { "Code": "By1", "Text": "FY 2027 \\n Program", "Group": "", "Level": 0, "Order": 14.0, "Type": "numeric" } ], "Rows": [ { "Code": "DEPSNGCDP_0308", "Type": "data", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "308", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "TRAVEL OF PERSONS ", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "3,506", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "percent", "Value": "2.100", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "74", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "-6", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "3,574", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "percent", "Value": "2.100", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "75", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "3,649", "NarrativeData": null } ] }, { "Code": "DEPSNGCDP_0399_Tota", "Type": "total", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "0399", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "TOTAL TRAVEL", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "3,506", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "blank", "Value": "0", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "74", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "-6", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "3,574", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "blank", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "75", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "3,649", "NarrativeData": null } ] }, { "Code": "DEPSNGCDP_0399_Tota_BlnkRow", "Type": "blank", "Cells": [] }, { "Code": "DEPSNGCDP_0401", "Type": "data", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "401", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "DLA ENERGY (FUEL PRODUCTS) ", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "2", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "percent", "Value": "1.102", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "2", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "percent", "Value": "-7.084", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "2", "NarrativeData": null } ] }, { "Code": "DEPSNGCDP_0411", "Type": "data", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "411", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "ARMY SUPPLY", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "2,107", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "percent", "Value": "1.695", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "36", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "5", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "2,148", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "percent", "Value": "6.686", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "144", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "-25", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "2,267", "NarrativeData": null } ] }, { "Code": "DEPSNGCDP_0414", "Type": "data", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "414", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "AIR FORCE CONSOL SUST AG (SUPPLY)", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "268", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "percent", "Value": "5.780", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "15", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "-10", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "273", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "percent", "Value": "4.540", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "12", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "3", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "288", "NarrativeData": null } ] }, { "Code": "DEPSNGCDP_0417", "Type": "data", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "417", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "LOCAL PURCH SUPPLIES & MAT ", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "139", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "percent", "Value": "2.100", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "3", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "-1", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "141", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "percent", "Value": "2.100", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "3", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "144", "NarrativeData": null } ] }, { "Code": "DEPSNGCDP_0499_Tota", "Type": "total", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "0499", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "TOTAL DEFENSE WORKING CAPITAL FUND SUPPLIES AND MATERIALS", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "2,516", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "blank", "Value": "0", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "54", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "-6", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "2,564", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "blank", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "159", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "-22", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "2,701", "NarrativeData": null } ] }, { "Code": "DEPSNGCDP_0499_Tota_BlnkRow", "Type": "blank", "Cells": [] }, { "Code": "DEPSNGCDP_0771", "Type": "data", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "771", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "COMMERCIAL TRANSPORT ", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "68", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "percent", "Value": "2.100", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "1", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "1", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "70", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "percent", "Value": "2.100", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "1", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "71", "NarrativeData": null } ] }, { "Code": "DEPSNGCDP_0799_Tota", "Type": "total", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "0799", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "TOTAL TRANSPORTATION", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "68", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "blank", "Value": "0", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "1", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "1", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "70", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "blank", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "1", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "71", "NarrativeData": null } ] }, { "Code": "DEPSNGCDP_0799_Tota_BlnkRow", "Type": "blank", "Cells": [] }, { "Code": "DEPSNGCDP_0912", "Type": "data", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "912", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "RENTAL PAYMENTS TO GSA (SLUC) ", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "77", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "percent", "Value": "2.100", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "2", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "79", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "percent", "Value": "2.100", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "2", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "81", "NarrativeData": null } ] }, { "Code": "DEPSNGCDP_0913", "Type": "data", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "913", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "PURCHASED UTILITIES (NON-FUND) ", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "602", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "percent", "Value": "2.100", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "13", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "-2", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "613", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "percent", "Value": "2.100", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "13", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "626", "NarrativeData": null } ] }, { "Code": "DEPSNGCDP_0914", "Type": "data", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "914", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "PURCHASED COMMUNICATIONS (NON-FUND) ", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "39", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "percent", "Value": "2.100", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "1", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "-1", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "39", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "percent", "Value": "2.100", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "1", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "40", "NarrativeData": null } ] }, { "Code": "DEPSNGCDP_0915", "Type": "data", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "915", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "RENTS (NON-GSA) ", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "24", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "percent", "Value": "2.100", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "1", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "25", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "percent", "Value": "2.100", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "1", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "26", "NarrativeData": null } ] }, { "Code": "DEPSNGCDP_0921", "Type": "data", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "921", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "PRINTING & REPRODUCTION ", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "1", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "percent", "Value": "2.100", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "1", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "percent", "Value": "2.100", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "1", "NarrativeData": null } ] }, { "Code": "DEPSNGCDP_0923", "Type": "data", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "923", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "FACILITIES SUST, REST, & MOD BY CONTRACT", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "16", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "percent", "Value": "2.100", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "1", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "17", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "percent", "Value": "2.100", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "17", "NarrativeData": null } ] }, { "Code": "DEPSNGCDP_0925", "Type": "data", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "925", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "EQUIPMENT PURCHASES (NON-FUND) ", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "2,403", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "percent", "Value": "2.100", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "50", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "-3", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "2,450", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "percent", "Value": "2.100", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "51", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "2,501", "NarrativeData": null } ] }, { "Code": "DEPSNGCDP_0932", "Type": "data", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "932", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "MGT PROF SUPPORT SVCS ", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "15", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "percent", "Value": "2.100", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "1", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "16", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "percent", "Value": "2.100", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "16", "NarrativeData": null } ] }, { "Code": "DEPSNGCDP_0936", "Type": "data", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "936", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "TRAINING AND LEADERSHIP DEVELOPMENT (OTHER CONTRACTS)", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "8", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "percent", "Value": "2.100", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "8", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "percent", "Value": "2.100", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "8", "NarrativeData": null } ] }, { "Code": "DEPSNGCDP_0951", "Type": "data", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "951", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "OTHER COSTS (SPECIAL PERSONAL SVC PAY)", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "285,582", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "percent", "Value": "0.000", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "9,817", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "295,399", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "percent", "Value": "0.000", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "-187,866", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "107,533", "NarrativeData": null } ] }, { "Code": "DEPSNGCDP_0989", "Type": "data", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "989", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "OTHER SERVICES ", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "140", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "percent", "Value": "2.100", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "3", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "-1", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "142", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "percent", "Value": "2.100", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "3", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "145", "NarrativeData": null } ] }, { "Code": "DEPSNGCDP_0990", "Type": "data", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "990", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "IT CONTRACT SUPPORT SERVICES", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "3", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "percent", "Value": "2.100", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "3", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "percent", "Value": "2.100", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "3", "NarrativeData": null } ] }, { "Code": "DEPSNGCDP_0999_Tota", "Type": "total", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "0999", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "TOTAL OTHER PURCHASES", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "288,910", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "blank", "Value": "0", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "70", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "9,812", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "298,792", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "blank", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "71", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "-187,866", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "110,997", "NarrativeData": null } ] }, { "Code": "DEPSNGCDP_0999_Tota_BlnkRow", "Type": "blank", "Cells": [] }, { "Code": "DEPSNGCDP_9999_GranTota", "Type": "total", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "9999", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "GRAND TOTAL", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "295,000", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "blank", "Value": "0", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "199", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "9,801", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "305,000", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "blank", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "306", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "-187,888", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "117,418", "NarrativeData": null } ] } ] } ] }, { "Name": "OP-32A Non-Supp View Tab", "Type": "Tab", "Description": "", "MissingExtraData": "This component has no word or json doc" }, { "Name": "OP-32A Supp View Tab", "Type": "Tab", "Description": "", "MissingExtraData": "This component has no word or json doc" } ] }, { "Name": "Part OP-32A Footnote", "Description": "", "Type": "Toggle", "ToggleOrder": "text", "Text": { "Enccoding": "HTML", "Value": "
" }, "Uploads": [] } ] }, { "Name": "Part 6", "Type": "Tab", "Description": "", "MissingExtraData": "This component has no word or json doc" } ] } ] } }, { "Metadata": { "SourceSystem": "EAS", "ServiceAgencyAcronym": "CNSP", "ServiceAgencyName": "Drug Interdiction and Counter-Drug Activities, Defense", "BudgetYear": "2026", "BudgetCycle": "PB", "SubmissionDate": "April 2026", "AppropriationNumber": "0105D" }, "GeneratedOutput": { "Name": "OP-5 BA04", "Type": "Exhibit", "Description": "Detail by Subactivity Group 4FU1", "Code": "DEPSNGCDSOp5SC", "Children": [ { "Name": "SAG Parts", "Description": "", "Type": "Tab Strip", "Children": [ { "Name": "Part 1", "Description": "", "Type": "Tab", "Children": [ { "Name": "Part 1 Grid", "Description": "", "Type": "Grid", "Code": "Op5Part1", "Columns": [ { "Code": "RowText", "Text": "Appropriation Summary ($ in Thousands) ", "Group": "", "Level": 0, "Order": 1.0, "Type": "text" }, { "Code": "Py", "Text": "FY 2025\\n Enacted", "Group": "", "Level": 0, "Order": 2.0, "Type": "numeric" }, { "Code": "PyCyPricChan", "Text": "Price\\n Change", "Group": "", "Level": 0, "Order": 3.0, "Type": "numeric" }, { "Code": "PyCyProgChan", "Text": "Program\\n Change", "Group": "", "Level": 0, "Order": 4.0, "Type": "numeric" }, { "Code": "Cy", "Text": "FY 2026\\n Enacted", "Group": "", "Level": 0, "Order": 5.0, "Type": "numeric" }, { "Code": "CyBy1PricChan", "Text": "Price\\n Change", "Group": "", "Level": 0, "Order": 6.0, "Type": "numeric" }, { "Code": "CyBy1ProgChan", "Text": "Program\\n Change", "Group": "", "Level": 0, "Order": 7.0, "Type": "numeric" }, { "Code": "By1", "Text": "FY 2027\\n Request", "Group": "", "Level": 0, "Order": 8.0, "Type": "numeric" } ], "Rows": [ { "Code": "DEPSNGCDS_Clie", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "National Guard Counter-Drug Schools", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "26,167", "NarrativeData": null }, { "ColumnCode": "PyCyPricChan", "Type": "numeric", "Value": "80", "NarrativeData": null }, { "ColumnCode": "PyCyProgChan", "Type": "numeric", "Value": "3,753", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "30,000", "NarrativeData": null }, { "ColumnCode": "CyBy1PricChan", "Type": "numeric", "Value": "82", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgChan", "Type": "numeric", "Value": "-23,434", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "6,648", "NarrativeData": null } ] } ] }, { "Name": "Part 1 Footnote", "Description": "", "Type": "Toggle", "ToggleOrder": "textupload", "Text": { "Enccoding": "HTML", "Value": "
In accordance with the Fiscal Year 2027 Appropriation Act Language \"for transfer to appropriations available to the Department of War for military personnel of the reserve components serving under the provisions of title 10 and title 32, United States Code; operation and maintenance; for procurement; and for research, development, test, and evaluation\" below is the Department of War projected transfer estimates by Fiscal Year and Public Law.
The FY 2027 request for Drug Interdiction and Counter-Drug Activities, Defense includes $6,648 thousand of discretionary and $0 thousand of mandatory for a total of $6,648 thousand to directly support the National Guard Counter-Drug Schools program.
The FY 2026 spend plan amount for Drug Interdiction and Counter-Drug Activities, Defense includes $30,000 thousand of discretionary and $0 thousand of mandatory for a total of $30,000 thousand to directly support the National Guard Counter-Drug Schools program.
The FY 2025 spend plan amount for Drug Interdiction and Counter-Drug Activities, Defense includes $26,167 thousand of discretionary and $0 thousand of mandatory for a total of $26,167 thousand to directly support the National Guard Counter-Drug Schools program.
The FY 2025 Enacted column reflects amounts transferred from the Drug Interdiction and Counter-Drug Activities, Defense appropriation, a Central Transfer Account, to the Military Departments and Defense Agencies.
" }, "Uploads": [] }, { "Name": "Part 1 Toggle", "Description": "", "Type": "Toggle", "ToggleOrder": "text", "Text": { "Enccoding": "HTML", "Value": "The National Guard Counter-Drug Schools budget activity funds the operation of five National Guard Counterdrug Schools as authorized by §901 of the Office of National Drug Control Policy Reauthorization Act of 2006, as amended, and as identified in plans submitted by host State Governors to the Secretary of War in accordance with 32 USC §112(c). The five schools supported by the program are: 1) Midwest Counterdrug Training Center at Camp Dodge, IA; 2) Multijurisdictional Counterdrug Task Force Training program at Camp Blanding, FL; 3) Northeast Counterdrug Training Center at Fort Indiantown Gap, PA; 4) Regional Counterdrug Training Academy at Naval Air Station Meridian, MS and; 5) Western Regional Counterdrug Training Center at Camp Murray, WA. The schools leverage existing Department of War infrastructure and capacity to provide no-cost counterdrug training to Federal, State, Local, and Tribal Law Enforcement agencies, as well as community-based organizations and military personnel to build U.S. partner capabilities and capacities to conduct enhanced operations against illicit drug trafficking networks, cartels, and transnational criminal organizations that threaten U.S. national security interest and the public safety of U.S. citizens. Funds support reserve military pay for Army and Air National Guard personnel, supplies, maintenance, and other administrative costs.
Primary Authorities: 32 U.S.C. §112, National Guard, Drug Interdiction and Counter-Drug Activities.
" }, "Uploads": [] }, { "Name": "{v3a} Footnote Grid", "Type": "Grid", "Description": "", "MissingExtraData": "This component has no word or json doc" }, { "Name": "Part 1 {v3a} Footnote", "Type": "Toggle", "Description": "", "MissingExtraData": "This component has no word or json doc" } ] }, { "Name": "Part 2", "Description": "", "Type": "Tab", "Children": [ { "Name": "Part 2 Toggle", "Description": "", "Type": "Toggle", "ToggleOrder": "text", "Text": { "Enccoding": "HTML", "Value": "The Office of the Deputy Assistant Secretary of War for Counternarcotics and Global Threats, by direction of the Under Secretary of War for Policy, and with oversight by the Assistant Secretary of War for Special Operations/Low-Intensity Conflict, provides policy oversight, guidance, resources, and the measurement of effects for Department of War counter-drug programs and activities. Individual programs and activities are designed, planned, and executed by the 54 National Guards of the U.S. States, Territories, and District of Columbia. The National Guard Bureau; Headquarters, Department of the Army; Headquarters, Army National Guard; Headquarters, Department of the Air Force; and Headquarters, Air National Guard provide program execution support and fiscal oversight on behalf of activities executed by the States, Territories, and District of Columbia.
Office of the Secretary of War:
Under Secretary of War for Policy
Assistant Secretary of War for Special Operations/Low-Intensity Conflict
Deputy Assistant Secretary of War for Counternarcotics and Stabilization Policy
Military Services:
Department of the Army
Department of the Air Force
National Guard Components:
National Guard Bureau
Army National Guard
Air National Guard
54 National Guards of the U.S. States, Territories, and District of Columbia
" }, "Uploads": [] } ] }, { "Name": "Part 3", "Description": "", "Type": "Tab", "Children": [ { "Name": "Part 3 Tab Strip", "Description": "", "Type": "Tab Strip", "Children": [ { "Name": "3A", "Description": "", "Type": "Tab", "Children": [ { "Name": "3A Tab Strip", "Description": "", "Type": "Tab Strip", "Children": [ { "Name": "3A Combined View Tab", "Description": "", "Type": "Tab", "Children": [ { "Name": "3A Combined Grid", "Description": "", "Type": "Grid", "Code": "OP53a", "Columns": [ { "Code": "PEInfoLvl2", "Text": "", "Group": "row", "Level": 2, "Order": 35.0, "Type": "text" }, { "Code": "PyLvl2", "Text": "", "Group": "combined", "Level": 2, "Order": 36.0, "Type": "text" }, { "Code": "FyPy", "Text": "FY 2026", "Group": "combined", "Level": 2, "Order": 37.0, "Type": "text" }, { "Code": "By1Lvl2", "Text": "", "Group": "combined", "Level": 2, "Order": 38.0, "Type": "text" }, { "Code": "PEInfoLvl1", "Text": "", "Group": "row", "Level": 1, "Order": 25.0, "Type": "text" }, { "Code": "PyInfo", "Text": "", "Group": "combined", "Level": 1, "Order": 26.0, "Type": "numeric" }, { "Code": "CongActi", "Text": "Congressional Action", "Group": "combined", "Level": 1, "Order": 27.0, "Type": "numeric" }, { "Code": "CyBy1Info", "Text": "", "Group": "combined", "Level": 1, "Order": 28.0, "Type": "numeric" }, { "Code": "ProgElem", "Text": "A. Subactivity Group", "Group": "row", "Level": 0, "Order": 2.0, "Type": "text" }, { "Code": "Py", "Text": "FY 2025\\n Enacted", "Group": "combined", "Level": 0, "Order": 3.0, "Type": "dollar" }, { "Code": "CyReq", "Text": "Budget\\n Request", "Group": "combined", "Level": 0, "Order": 4.0, "Type": "dollar" }, { "Code": "Amt", "Text": "Amount", "Group": "combined", "Level": 0, "Order": 5.0, "Type": "dollar" }, { "Code": "Perc", "Text": "Percent", "Group": "combined", "Level": 0, "Order": 6.0, "Type": "percent" }, { "Code": "Cy", "Text": "Current\\n Enacted", "Group": "combined", "Level": 0, "Order": 8.0, "Type": "dollar" }, { "Code": "By1", "Text": "FY 2027\\n Request", "Group": "combined", "Level": 0, "Order": 9.0, "Type": "dollar" } ], "Rows": [ { "Code": "DEPSNGCDS_1686666913243", "Type": "data", "Cells": [ { "ColumnCode": "ProgElem", "Type": "text", "Value": "National Guard Counter-Drug Schools", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "dollar", "Value": "26,167", "NarrativeData": null }, { "ColumnCode": "CyReq", "Type": "dollar", "Value": "6,354", "NarrativeData": null }, { "ColumnCode": "Amt", "Type": "dollar", "Value": "23,646", "NarrativeData": null }, { "ColumnCode": "Perc", "Type": "percent", "Value": "372.14", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "dollar", "Value": "30,000", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "dollar", "Value": "6,648", "NarrativeData": null } ] }, { "Code": "DEPSNGCDS_Tota", "Type": "total", "Cells": [ { "ColumnCode": "ProgElem", "Type": "text", "Value": "Total", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "dollar", "Value": "26,167", "NarrativeData": null }, { "ColumnCode": "CyReq", "Type": "dollar", "Value": "6,354", "NarrativeData": null }, { "ColumnCode": "Amt", "Type": "dollar", "Value": "23,646", "NarrativeData": null }, { "ColumnCode": "Perc", "Type": "percent", "Value": "372.14", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "dollar", "Value": "30,000", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "dollar", "Value": "6,648", "NarrativeData": null } ] } ] } ] }, { "Name": "3A Non-Supp View Tab", "Type": "Tab", "Description": "", "MissingExtraData": "This component has no word or json doc" }, { "Name": "3A Supp View Tab", "Type": "Tab", "Description": "", "MissingExtraData": "This component has no word or json doc" } ] }, { "Name": "Part 3 Footnote", "Description": "", "Type": "Toggle", "ToggleOrder": "text", "Text": { "Enccoding": "HTML", "Value": "
32 U.S.C. § 112, National Guard, Drug Interdiction and Counter-Drug Activities authorized the Department of War to provide support to United States law enforcement agencies (Federal, State, Local, Tribal, and Coalition-Based Organizations), to detect and disrupt drug trafficking and other illicit threat network activities. Key Performance Indicator: National Guard Counter-Drug Schools support to Law Enforcement Agencies and Community Based Organizations has a key performance indicator that 95% of total training events include State and Local Law Enforcement Agencies and Community Based Organizations in relation to total training support events conducted measured against previous 3-year benchmark.
" }, "Uploads": [ { "Filename": "DEPSNGCDS_OP-5_4_PB27.docx", "ByteArray": "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" } ] } ] }, { "Name": "Part 5", "Description": "", "Type": "Tab", "Children": [ { "Name": "Part 5 Grid", "Description": "", "Type": "Grid", "Code": "OP5PART5", "Columns": [ { "Code": "RowText", "Text": "", "Group": "", "Level": 0, "Order": 2.0, "Type": "text" }, { "Code": "Py", "Text": "FY 2025", "Group": "", "Level": 0, "Order": 3.0, "Type": "numeric" }, { "Code": "Cy", "Text": "FY 2026", "Group": "", "Level": 0, "Order": 4.0, "Type": "numeric" }, { "Code": "By1", "Text": "FY 2027", "Group": "", "Level": 0, "Order": 5.0, "Type": "numeric" }, { "Code": "ChanPyCy", "Text": "Change \\n FY 2025/ \\n FY 2026", "Group": "", "Level": 0, "Order": 6.0, "Type": "numeric" }, { "Code": "ChanCyBy1", "Text": "Change \\n FY 2026/ \\n FY 2027", "Group": "", "Level": 0, "Order": 7.0, "Type": "numeric" } ], "Rows": [ { "Code": "DEPSNGCDS_Blnk", "Type": "blank", "Cells": [] }, { "Code": "DEPSNGCDS_ReseOnFullTimeActiDutyEsTota", "Type": "total", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Reservists on Full Time Active Duty (E/S) (Total)", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "250", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "250", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "250", "NarrativeData": null }, { "ColumnCode": "ChanPyCy", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "ChanCyBy1", "Type": "numeric", "Value": "0", "NarrativeData": null } ] }, { "Code": "DEPSNGCDS_ReseOnFullTimeActiDutyEsTotaOffi", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Officer", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "75", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "75", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "75", "NarrativeData": null }, { "ColumnCode": "ChanPyCy", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "ChanCyBy1", "Type": "numeric", "Value": "0", "NarrativeData": null } ] }, { "Code": "DEPSNGCDS_ReseOnFullTimeActiDutyEsTotaEnli", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Enlisted", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "175", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "175", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "175", "NarrativeData": null }, { "ColumnCode": "ChanPyCy", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "ChanCyBy1", "Type": "numeric", "Value": "0", "NarrativeData": null } ] }, { "Code": "DEPSNGCDS_ReseOnFullTimeActiDutyEsTotaBlnk", "Type": "blank", "Cells": [] }, { "Code": "DEPSNGCDS_ReseOnFullTimeActiDutyAsTota", "Type": "total", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Reservists on Full Time Active Duty (A/S) (Total)", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "250", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "250", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "250", "NarrativeData": null }, { "ColumnCode": "ChanPyCy", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "ChanCyBy1", "Type": "numeric", "Value": "0", "NarrativeData": null } ] }, { "Code": "DEPSNGCDS_ReseOnFullTimeActiDutyAsTotaOffi", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Officer", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "75", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "75", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "75", "NarrativeData": null }, { "ColumnCode": "ChanPyCy", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "ChanCyBy1", "Type": "numeric", "Value": "0", "NarrativeData": null } ] }, { "Code": "DEPSNGCDS_ReseOnFullTimeActiDutyAsTotaEnli", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Enlisted", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "175", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "175", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "175", "NarrativeData": null }, { "ColumnCode": "ChanPyCy", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "ChanCyBy1", "Type": "numeric", "Value": "0", "NarrativeData": null } ] }, { "Code": "DEPSNGCDS_ReseOnFullTimeActiDutyAsTotaBlnk", "Type": "blank", "Cells": [] }, { "Code": "DEPSNGCDS_ContFtesTota", "Type": "total", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Contractor FTEs (Total)", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "150", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "150", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "150", "NarrativeData": null }, { "ColumnCode": "ChanPyCy", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "ChanCyBy1", "Type": "numeric", "Value": "0", "NarrativeData": null } ] } ] }, { "Name": "Part 5 Toggle", "Description": "", "Type": "Toggle", "ToggleOrder": "uploadtext", "Text": { "Enccoding": "HTML", "Value": "Estimates represent Reservists and Contractors who are funded annually from the Drug Interdiction and Counter-Drug Activities, Defense appropriation, a Central Transfer Account, to the Military Departments and Defense Agencies.
32 United States Code, Section 112, paragraph e: \"e)
Contractors: The National Guard has 150 contractors who are funded with a Congressional add.
" }, "Uploads": [] } ] }, { "Name": "Part OP-32A", "Description": "", "Type": "Tab", "Children": [ { "Name": "OP-32A View Tab Strip", "Description": "", "Type": "Tab Strip", "Children": [ { "Name": "OP-32A Combined View Tab", "Description": "", "Type": "Tab", "Children": [ { "Name": "Part OP-32A Combined Grid", "Description": "", "Type": "Grid", "Code": "Op5PartOp32A", "Columns": [ { "Code": "Blnk1", "Text": "", "Group": "", "Level": 1, "Order": 15.0, "Type": "numeric" }, { "Code": "ChanFromPyToCy", "Text": "Change from FY 2025 to FY 2026", "Group": "", "Level": 1, "Order": 16.0, "Type": "numeric" }, { "Code": "Blnk2", "Text": "", "Group": "", "Level": 1, "Order": 17.0, "Type": "numeric" }, { "Code": "ChanFromCyToBy1", "Text": "Change from FY 2026 to FY 2027", "Group": "", "Level": 1, "Order": 18.0, "Type": "numeric" }, { "Code": "Blnk3", "Text": "", "Group": "", "Level": 1, "Order": 19.0, "Type": "numeric" }, { "Code": "Line", "Text": "", "Group": "", "Level": 0, "Order": 1.0, "Type": "text" }, { "Code": "RowText", "Text": "", "Group": "", "Level": 0, "Order": 3.0, "Type": "text" }, { "Code": "Py", "Text": "FY 2025 \\n Program", "Group": "", "Level": 0, "Order": 4.0, "Type": "numeric" }, { "Code": "PyCyPricGrowPerc", "Text": "Price Growth \\n Percent", "Group": "", "Level": 0, "Order": 6.0, "Type": "percent" }, { "Code": "PyCyPricGrow", "Text": "Price \\n Growth", "Group": "", "Level": 0, "Order": 7.0, "Type": "numeric" }, { "Code": "PyCyProgGrow", "Text": "Program \\n Growth", "Group": "", "Level": 0, "Order": 8.0, "Type": "numeric" }, { "Code": "Cy", "Text": "FY 2026 \\n Program", "Group": "", "Level": 0, "Order": 9.0, "Type": "numeric" }, { "Code": "CyBy1PricGrowPerc", "Text": "Price Growth \\n Percent", "Group": "", "Level": 0, "Order": 11.0, "Type": "percent" }, { "Code": "CyBy1PricGrow", "Text": "Price \\n Growth", "Group": "", "Level": 0, "Order": 12.0, "Type": "numeric" }, { "Code": "CyBy1ProgGrow", "Text": "Program \\n Growth", "Group": "", "Level": 0, "Order": 13.0, "Type": "numeric" }, { "Code": "By1", "Text": "FY 2027 \\n Program", "Group": "", "Level": 0, "Order": 14.0, "Type": "numeric" } ], "Rows": [ { "Code": "DEPSNGCDS_0308", "Type": "data", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "308", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "TRAVEL OF PERSONS ", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "9", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "percent", "Value": "2.100", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "9", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "percent", "Value": "2.100", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "9", "NarrativeData": null } ] }, { "Code": "DEPSNGCDS_0399_Tota", "Type": "total", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "0399", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "TOTAL TRAVEL", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "9", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "blank", "Value": "0", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "9", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "blank", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "9", "NarrativeData": null } ] }, { "Code": "DEPSNGCDS_0399_Tota_BlnkRow", "Type": "blank", "Cells": [] }, { "Code": "DEPSNGCDS_0417", "Type": "data", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "417", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "LOCAL PURCH SUPPLIES & MAT ", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "18", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "percent", "Value": "2.100", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "18", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "percent", "Value": "2.100", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "18", "NarrativeData": null } ] }, { "Code": "DEPSNGCDS_0499_Tota", "Type": "total", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "0499", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "TOTAL DEFENSE WORKING CAPITAL FUND SUPPLIES AND MATERIALS", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "18", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "blank", "Value": "0", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "18", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "blank", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "18", "NarrativeData": null } ] }, { "Code": "DEPSNGCDS_0499_Tota_BlnkRow", "Type": "blank", "Cells": [] }, { "Code": "DEPSNGCDS_0771", "Type": "data", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "771", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "COMMERCIAL TRANSPORT ", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "6", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "percent", "Value": "2.100", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "6", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "percent", "Value": "2.100", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "6", "NarrativeData": null } ] }, { "Code": "DEPSNGCDS_0799_Tota", "Type": "total", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "0799", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "TOTAL TRANSPORTATION", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "6", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "blank", "Value": "0", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "6", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "blank", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "6", "NarrativeData": null } ] }, { "Code": "DEPSNGCDS_0799_Tota_BlnkRow", "Type": "blank", "Cells": [] }, { "Code": "DEPSNGCDS_0912", "Type": "data", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "912", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "RENTAL PAYMENTS TO GSA (SLUC) ", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "194", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "percent", "Value": "2.100", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "4", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "198", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "percent", "Value": "2.100", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "4", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "202", "NarrativeData": null } ] }, { "Code": "DEPSNGCDS_0913", "Type": "data", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "913", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "PURCHASED UTILITIES (NON-FUND) ", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "124", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "percent", "Value": "2.100", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "3", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "127", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "percent", "Value": "2.100", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "3", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "130", "NarrativeData": null } ] }, { "Code": "DEPSNGCDS_0914", "Type": "data", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "914", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "PURCHASED COMMUNICATIONS (NON-FUND) ", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "201", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "percent", "Value": "2.100", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "4", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "205", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "percent", "Value": "2.100", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "4", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "209", "NarrativeData": null } ] }, { "Code": "DEPSNGCDS_0920", "Type": "data", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "920", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "SUPPLIES & MATERIALS (NON-FUND)", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "260", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "percent", "Value": "2.100", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "5", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "265", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "percent", "Value": "2.100", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "6", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "271", "NarrativeData": null } ] }, { "Code": "DEPSNGCDS_0921", "Type": "data", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "921", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "PRINTING & REPRODUCTION ", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "10", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "percent", "Value": "2.100", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "10", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "percent", "Value": "2.100", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "10", "NarrativeData": null } ] }, { "Code": "DEPSNGCDS_0923", "Type": "data", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "923", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "FACILITIES SUST, REST, & MOD BY CONTRACT", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "907", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "percent", "Value": "2.100", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "19", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "926", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "percent", "Value": "2.100", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "19", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "945", "NarrativeData": null } ] }, { "Code": "DEPSNGCDS_0925", "Type": "data", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "925", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "EQUIPMENT PURCHASES (NON-FUND) ", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "18", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "percent", "Value": "2.100", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "18", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "percent", "Value": "2.100", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "18", "NarrativeData": null } ] }, { "Code": "DEPSNGCDS_0936", "Type": "data", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "936", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "TRAINING AND LEADERSHIP DEVELOPMENT (OTHER CONTRACTS)", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "1,983", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "percent", "Value": "2.100", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "42", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "2,025", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "percent", "Value": "2.100", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "43", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "2,068", "NarrativeData": null } ] }, { "Code": "DEPSNGCDS_0951", "Type": "data", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "951", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "OTHER COSTS (SPECIAL PERSONAL SVC PAY)", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "22,303", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "percent", "Value": "0.000", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "3,753", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "26,056", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "percent", "Value": "0.000", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "-23,434", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "2,622", "NarrativeData": null } ] }, { "Code": "DEPSNGCDS_0964", "Type": "data", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "964", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "OTHER COSTS (SUBSISTENCE AND SUPPORT OF PERSONS)", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "134", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "percent", "Value": "2.100", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "3", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "137", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "percent", "Value": "2.100", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "3", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "140", "NarrativeData": null } ] }, { "Code": "DEPSNGCDS_0999_Tota", "Type": "total", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "0999", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "TOTAL OTHER PURCHASES", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "26,134", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "blank", "Value": "0", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "80", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "3,753", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "29,967", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "blank", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "82", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "-23,434", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "6,615", "NarrativeData": null } ] }, { "Code": "DEPSNGCDS_0999_Tota_BlnkRow", "Type": "blank", "Cells": [] }, { "Code": "DEPSNGCDS_9999_GranTota", "Type": "total", "Cells": [ { "ColumnCode": "Line", "Type": "text", "Value": "9999", "NarrativeData": null }, { "ColumnCode": "RowText", "Type": "text", "Value": "GRAND TOTAL", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "26,167", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrowPerc", "Type": "blank", "Value": "0", "NarrativeData": null }, { "ColumnCode": "PyCyPricGrow", "Type": "numeric", "Value": "80", "NarrativeData": null }, { "ColumnCode": "PyCyProgGrow", "Type": "numeric", "Value": "3,753", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "30,000", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrowPerc", "Type": "blank", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CyBy1PricGrow", "Type": "numeric", "Value": "82", "NarrativeData": null }, { "ColumnCode": "CyBy1ProgGrow", "Type": "numeric", "Value": "-23,434", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "6,648", "NarrativeData": null } ] } ] } ] }, { "Name": "OP-32A Non-Supp View Tab", "Type": "Tab", "Description": "", "MissingExtraData": "This component has no word or json doc" }, { "Name": "OP-32A Supp View Tab", "Type": "Tab", "Description": "", "MissingExtraData": "This component has no word or json doc" } ] }, { "Name": "Part OP-32A Footnote", "Description": "", "Type": "Toggle", "ToggleOrder": "text", "Text": { "Enccoding": "HTML", "Value": "
Total may not add due to rounding.
" }, "Uploads": [] } ] }, { "Name": "Part 6", "Type": "Tab", "Description": "", "MissingExtraData": "This component has no word or json doc" } ] } ] } } ] } }, { "Metadata": { "SourceSystem": "EAS", "ServiceAgencyAcronym": "CNSP", "ServiceAgencyName": "Drug Interdiction and Counter-Drug Activities, Defense", "BudgetYear": "2026", "BudgetCycle": "PB", "SubmissionDate": "April 2026", "AppropriationNumber": "0105D" }, "GeneratedOutput": { "Name": "Volume II", "Type": "Book Section", "Description": "Volume II - Data Book", "Children": [ { "Metadata": { "SourceSystem": "EAS", "ServiceAgencyAcronym": "CNSP", "ServiceAgencyName": "Drug Interdiction and Counter-Drug Activities, Defense", "BudgetYear": "2026", "BudgetCycle": "PB", "SubmissionDate": "April 2026", "AppropriationNumber": "0105D" }, "GeneratedOutput": { "Name": "OP-8 Part I", "Type": "Exhibit", "Description": "Civilian Personnel Costs", "Code": "DEPSOp8PartI", "Children": [ { "Name": "OP-8 Tab Strip", "Description": "", "Type": "Tab Strip", "Children": [ { "Name": "PY Tab", "Description": "", "Type": "Tab", "Children": [ { "Name": "PY Grid", "Description": "", "Type": "Grid", "Code": "OP8P1_PY", "Columns": [ { "Code": "Py", "Text": "FY 2025", "Group": "", "Level": 1, "Order": 1.0, "Type": "numeric" }, { "Code": "InThou", "Text": "($ in Thousands)", "Group": "", "Level": 1, "Order": 2.0, "Type": "numeric" }, { "Code": "Rate", "Text": "Rates", "Group": "", "Level": 1, "Order": 3.0, "Type": "numeric" }, { "Code": "RowText", "Text": "", "Group": "", "Level": 0, "Order": 4.0, "Type": "text" }, { "Code": "BegiStre", "Text": "Begin\\n Strength", "Group": "", "Level": 0, "Order": 5.0, "Type": "numeric" }, { "Code": "EndStre", "Text": "End\\n Strength", "Group": "", "Level": 0, "Order": 6.0, "Type": "numeric" }, { "Code": "Ftes", "Text": "FTEs", "Group": "", "Level": 0, "Order": 7.0, "Type": "numeric" }, { "Code": "BasiComp", "Text": "Basic\\n Comp", "Group": "", "Level": 0, "Order": 8.0, "Type": "numeric" }, { "Code": "OverPay", "Text": "Overtime\\n Pay", "Group": "", "Level": 0, "Order": 9.0, "Type": "numeric" }, { "Code": "HoliPay", "Text": "Holiday\\n Pay", "Group": "", "Level": 0, "Order": 10.0, "Type": "numeric" }, { "Code": "OtheOC11", "Text": "Other\\n O.C.11", "Group": "", "Level": 0, "Order": 11.0, "Type": "numeric" }, { "Code": "TotaVari", "Text": "Total\\n Variables", "Group": "", "Level": 0, "Order": 12.0, "Type": "numeric" }, { "Code": "CompOC11", "Text": "Comp\\n O.C.11", "Group": "", "Level": 0, "Order": 13.0, "Type": "numeric" }, { "Code": "BeneOC1213", "Text": "Benefits\\n O.C.12/13", "Group": "", "Level": 0, "Order": 14.0, "Type": "numeric" }, { "Code": "CompBene", "Text": "Comp\\n & Benefits", "Group": "", "Level": 0, "Order": 15.0, "Type": "numeric" }, { "Code": "RateBasiComp", "Text": "Basic\\n Comp", "Group": "", "Level": 0, "Order": 16.0, "Type": "dollar" }, { "Code": "RateTotaComp", "Text": "Total\\n Comp", "Group": "", "Level": 0, "Order": 17.0, "Type": "dollar" }, { "Code": "RateCompBene", "Text": "Comp\\n & Benefits", "Group": "", "Level": 0, "Order": 18.0, "Type": "dollar" }, { "Code": "RatePercBcVari", "Text": "% BC\\n Variables", "Group": "", "Level": 0, "Order": 19.0, "Type": "percent" }, { "Code": "RatePercBcBene", "Text": "% BC\\n Benefits", "Group": "", "Level": 0, "Order": 20.0, "Type": "percent" } ], "Rows": [ { "Code": "DEPS_DireFundPersInclOc13", "Type": "subtotal", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Direct Funded Personnel (includes OC 13)", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "numeric", "Value": "1,486", "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "numeric", "Value": "1,497", "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "numeric", "Value": "1,497", "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "numeric", "Value": "149,163", "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "numeric", "Value": "2,237", "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "numeric", "Value": "4,904", "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "numeric", "Value": "1,063", "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "numeric", "Value": "8,204", "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "numeric", "Value": "157,367", "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "60,990", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "218,357", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "dollar", "Value": "99,641", "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "dollar", "Value": "105,122", "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "dollar", "Value": "145,863", "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "percent", "Value": "5.5", "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "percent", "Value": "40.9", "NarrativeData": null } ] }, { "Code": "DEPS_DireFundPersInclOc13Blnk", "Type": "blank", "Cells": [] }, { "Code": "DEPS_D1UsDireHire", "Type": "total", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "D1. US Direct Hire (USDH)", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "numeric", "Value": "1,486", "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "numeric", "Value": "1,497", "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "numeric", "Value": "1,497", "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "numeric", "Value": "149,163", "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "numeric", "Value": "2,237", "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "numeric", "Value": "4,904", "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "numeric", "Value": "1,063", "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "numeric", "Value": "8,204", "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "numeric", "Value": "157,367", "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "60,990", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "218,357", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "dollar", "Value": "99,641", "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "dollar", "Value": "105,122", "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "dollar", "Value": "145,863", "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "percent", "Value": "5.5", "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "percent", "Value": "40.9", "NarrativeData": null } ] }, { "Code": "DEPS_D1aSeniExecSche", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "D1a. Senior Executive Schedule", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "percent", "Value": "0.0", "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "percent", "Value": "0.0", "NarrativeData": null } ] }, { "Code": "DEPS_D1bGeneSche", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "D1b. General Schedule", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "numeric", "Value": "1,486", "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "numeric", "Value": "1,497", "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "numeric", "Value": "1,497", "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "numeric", "Value": "149,163", "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "numeric", "Value": "2,237", "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "numeric", "Value": "4,904", "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "numeric", "Value": "1,063", "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "numeric", "Value": "8,204", "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "numeric", "Value": "157,367", "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "60,990", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "218,357", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "dollar", "Value": "99,641", "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "dollar", "Value": "105,122", "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "dollar", "Value": "145,863", "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "percent", "Value": "5.5", "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "percent", "Value": "40.9", "NarrativeData": null } ] }, { "Code": "DEPS_D1cSpecSche", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "D1c. Special Schedule", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "percent", "Value": "0.0", "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "percent", "Value": "0.0", "NarrativeData": null } ] }, { "Code": "DEPS_D1dWageSyst", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "D1d. Wage System", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "percent", "Value": "0.0", "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "percent", "Value": "0.0", "NarrativeData": null } ] }, { "Code": "DEPS_D1eHighQualExpe", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "D1e. Highly Qualified Experts", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "numeric", "Value": " - ", "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "numeric", "Value": " - ", "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "numeric", "Value": " - ", "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "numeric", "Value": " - ", "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "numeric", "Value": " - ", "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "numeric", "Value": " - ", "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "numeric", "Value": " - ", "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": " - ", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "percent", "Value": "0.0", "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "percent", "Value": "0.0", "NarrativeData": null } ] }, { "Code": "DEPS_D1fOthe", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "D1f. Other", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "percent", "Value": "0.0", "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "percent", "Value": "0.0", "NarrativeData": null } ] }, { "Code": "DEPS_D1UsDireHireBlnk", "Type": "blank", "Cells": [] }, { "Code": "DEPS_D2DireHireProgForeNati", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "D2. Direct Hire Foreign Nationals (DHFN)", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "numeric", "Value": " - ", "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "numeric", "Value": " - ", "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "numeric", "Value": " - ", "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "numeric", "Value": " - ", "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": " - ", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "percent", "Value": "0.0", "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "percent", "Value": "0.0", "NarrativeData": null } ] }, { "Code": "DEPS_D3TotaDireHire", "Type": "total", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "D3. Total Direct Hire", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "numeric", "Value": "1,486", "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "numeric", "Value": "1,497", "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "numeric", "Value": "1,497", "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "numeric", "Value": "149,163", "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "numeric", "Value": "2,237", "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "numeric", "Value": "4,904", "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "numeric", "Value": "1,063", "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "numeric", "Value": "8,204", "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "numeric", "Value": "157,367", "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "60,990", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "218,357", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "dollar", "Value": "99,641", "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "dollar", "Value": "105,122", "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "dollar", "Value": "145,863", "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "percent", "Value": "5.5", "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "percent", "Value": "40.9", "NarrativeData": null } ] }, { "Code": "DEPS_D4IndiHireForeNati", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "D4. Indirect Hire Foreign Nationals (IHFN)", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "percent", "Value": "0.0", "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "percent", "Value": "0.0", "NarrativeData": null } ] }, { "Code": "DEPS_SubtDireFundExclOc13", "Type": "subtotal", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Subtotal - Direct Funded (excludes OC 13)", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "numeric", "Value": "1,486", "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "numeric", "Value": "1,497", "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "numeric", "Value": "1,497", "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "numeric", "Value": "149,163", "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "numeric", "Value": "2,237", "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "numeric", "Value": "4,904", "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "numeric", "Value": "1,063", "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "numeric", "Value": "8,204", "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "numeric", "Value": "157,367", "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "60,990", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "218,357", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "dollar", "Value": "99,641", "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "dollar", "Value": "105,122", "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "dollar", "Value": "145,863", "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "percent", "Value": "5.5", "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "percent", "Value": "40.9", "NarrativeData": null } ] }, { "Code": "DEPS_D5OtheObjeClas13Bene", "Type": "total", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "D5. Other Object Class 13 Benefits", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "blank", "Value": null, "NarrativeData": null } ] }, { "Code": "DEPS_D5aUsdhBeneForFormEmpl", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "D5a. USDH - Benefits of Former Employees", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "blank", "Value": null, "NarrativeData": null } ] }, { "Code": "DEPS_D5bDhfnBeneForFormEmpl", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "D5b. DHFN - Benefits of Former Employees", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "blank", "Value": null, "NarrativeData": null } ] }, { "Code": "DEPS_D5cVoluSepaIncePay", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "D5c. Voluntary Separation Incentive Pay (VSIP)", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "blank", "Value": null, "NarrativeData": null } ] }, { "Code": "DEPS_D5dForeNatiSepaLiab", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "D5d. Foreign National Separation Liability", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "blank", "Value": null, "NarrativeData": null } ] }, { "Code": "DEPS_D5OtheObjeClas13BeneBlnk", "Type": "blank", "Cells": [] }, { "Code": "DEPS_ReimFundPersInclOc13", "Type": "subtotal", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Reimbursable Funded Personnel (includes OC 13)", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "percent", "Value": "0.0", "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "percent", "Value": "0.0", "NarrativeData": null } ] }, { "Code": "DEPS_ReimFundPersInclOc13Blnk", "Type": "blank", "Cells": [] }, { "Code": "DEPS_R1UsDireHire", "Type": "total", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "R1. US Direct Hire (USDH)", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "percent", "Value": "0.0", "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "percent", "Value": "0.0", "NarrativeData": null } ] }, { "Code": "DEPS_R1aSeniExecSche", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "R1a. Senior Executive Schedule", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "percent", "Value": "0.0", "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "percent", "Value": "0.0", "NarrativeData": null } ] }, { "Code": "DEPS_R1bGeneSche", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "R1b. General Schedule", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "percent", "Value": "0.0", "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "percent", "Value": "0.0", "NarrativeData": null } ] }, { "Code": "DEPS_R1cSpecSche", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "R1c. Special Schedule", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "percent", "Value": "0.0", "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "percent", "Value": "0.0", "NarrativeData": null } ] }, { "Code": "DEPS_R1dWageSyst", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "R1d. Wage System", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "numeric", "Value": " - ", "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "numeric", "Value": " - ", "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "numeric", "Value": " - ", "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "numeric", "Value": " - ", "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "numeric", "Value": " - ", "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "numeric", "Value": " - ", "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "numeric", "Value": " - ", "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": " - ", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "percent", "Value": "0.0", "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "percent", "Value": "0.0", "NarrativeData": null } ] }, { "Code": "DEPS_R1eHighQualExpe", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "R1e. Highly Qualified Experts", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "percent", "Value": "0.0", "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "percent", "Value": "0.0", "NarrativeData": null } ] }, { "Code": "DEPS_R1fOthe", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "R1f. Other", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "percent", "Value": "0.0", "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "percent", "Value": "0.0", "NarrativeData": null } ] }, { "Code": "DEPS_R1UsDireHireBlnk", "Type": "blank", "Cells": [] }, { "Code": "DEPS_R2DireHireProgForeNati", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "R2. Direct Hire Foreign Nationals (DHFN)", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "numeric", "Value": " - ", "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "numeric", "Value": " - ", "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "numeric", "Value": " - ", "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "numeric", "Value": " - ", "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "numeric", "Value": " - ", "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "numeric", "Value": " - ", "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "numeric", "Value": " - ", "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": " - ", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "percent", "Value": "0.0", "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "percent", "Value": "0.0", "NarrativeData": null } ] }, { "Code": "DEPS_R3TotaDireHire", "Type": "total", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "R3. Total Direct Hire", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "percent", "Value": "0.0", "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "percent", "Value": "0.0", "NarrativeData": null } ] }, { "Code": "DEPS_R4IndiHireForeNati", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "R4. Indirect Hire Foreign Nationals (IHFN)", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "numeric", "Value": " - ", "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": " - ", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "percent", "Value": "0.0", "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "percent", "Value": "0.0", "NarrativeData": null } ] }, { "Code": "DEPS_SubtReimFundExclOc13", "Type": "subtotal", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Subtotal - Reimbursable Funded (excludes OC 13)", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "percent", "Value": "0.0", "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "percent", "Value": "0.0", "NarrativeData": null } ] }, { "Code": "DEPS_R5OtheObjeClas13Bene", "Type": "total", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "R5. Other Object Class 13 Benefits", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "blank", "Value": null, "NarrativeData": null } ] }, { "Code": "DEPS_R5aUsdhBeneForFormEmpl", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "R5a. USDH - Benefits of Former Employees", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "blank", "Value": null, "NarrativeData": null } ] }, { "Code": "DEPS_R5bDhfnBeneForFormEmpl", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "R5b. DHFN - Benefits of Former Employees", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "blank", "Value": null, "NarrativeData": null } ] }, { "Code": "DEPS_R5cVoluSepaIncePay", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "R5c. Voluntary Separation Incentive Pay (VSIP)", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "blank", "Value": null, "NarrativeData": null } ] }, { "Code": "DEPS_R5dForeNatiSepaLiab", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "R5d. Foreign National Separation Liability", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "blank", "Value": null, "NarrativeData": null } ] }, { "Code": "DEPS_R5OtheObjeClas13BeneBlnk", "Type": "blank", "Cells": [] }, { "Code": "DEPS_TotaPersInclOc13", "Type": "subtotal", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Total Personnel (includes OC 13)", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "numeric", "Value": "1,486", "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "numeric", "Value": "1,497", "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "numeric", "Value": "1,497", "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "numeric", "Value": "149,163", "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "numeric", "Value": "2,237", "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "numeric", "Value": "4,904", "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "numeric", "Value": "1,063", "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "numeric", "Value": "8,204", "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "numeric", "Value": "157,367", "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "60,990", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "218,357", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "dollar", "Value": "99,641", "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "dollar", "Value": "105,122", "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "dollar", "Value": "145,863", "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "percent", "Value": "5.5", "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "percent", "Value": "40.9", "NarrativeData": null } ] }, { "Code": "DEPS_TotaPersInclOc13Blnk", "Type": "blank", "Cells": [] }, { "Code": "DEPS_T1UsDireHire", "Type": "total", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "T1. US Direct Hire (USDH)", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "numeric", "Value": "1,486", "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "numeric", "Value": "1,497", "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "numeric", "Value": "1,497", "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "numeric", "Value": "149,163", "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "numeric", "Value": "2,237", "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "numeric", "Value": "4,904", "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "numeric", "Value": "1,063", "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "numeric", "Value": "8,204", "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "numeric", "Value": "157,367", "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "60,990", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "218,357", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "dollar", "Value": "99,641", "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "dollar", "Value": "105,122", "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "dollar", "Value": "145,863", "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "percent", "Value": "5.5", "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "percent", "Value": "40.9", "NarrativeData": null } ] }, { "Code": "DEPS_T1aSeniExecSche", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "T1a. Senior Executive Schedule", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "percent", "Value": "0.0", "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "percent", "Value": "0.0", "NarrativeData": null } ] }, { "Code": "DEPS_T1bGeneSche", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "T1b. General Schedule", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "numeric", "Value": "1,486", "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "numeric", "Value": "1,497", "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "numeric", "Value": "1,497", "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "numeric", "Value": "149,163", "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "numeric", "Value": "2,237", "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "numeric", "Value": "4,904", "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "numeric", "Value": "1,063", "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "numeric", "Value": "8,204", "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "numeric", "Value": "157,367", "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "60,990", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "218,357", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "dollar", "Value": "99,641", "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "dollar", "Value": "105,122", "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "dollar", "Value": "145,863", "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "percent", "Value": "5.5", "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "percent", "Value": "40.9", "NarrativeData": null } ] }, { "Code": "DEPS_T1cSpecSche", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "T1c. Special Schedule", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "percent", "Value": "0.0", "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "percent", "Value": "0.0", "NarrativeData": null } ] }, { "Code": "DEPS_T1dWageSyst", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "T1d. Wage System", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "percent", "Value": "0.0", "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "percent", "Value": "0.0", "NarrativeData": null } ] }, { "Code": "DEPS_T1eHighQualExpe", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "T1e. Highly Qualified Experts", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "percent", "Value": "0.0", "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "percent", "Value": "0.0", "NarrativeData": null } ] }, { "Code": "DEPS_T1fOthe", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "T1f. Other", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "percent", "Value": "0.0", "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "percent", "Value": "0.0", "NarrativeData": null } ] }, { "Code": "DEPS_T1UsDireHireBlnk", "Type": "blank", "Cells": [] }, { "Code": "DEPS_T2DireHireProgForeNati", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "T2. Direct Hire Foreign Nationals (DHFN)", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "percent", "Value": "0.0", "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "percent", "Value": "0.0", "NarrativeData": null } ] }, { "Code": "DEPS_T3TotaDireHire", "Type": "total", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "T3. Total Direct Hire", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "numeric", "Value": "1,486", "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "numeric", "Value": "1,497", "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "numeric", "Value": "1,497", "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "numeric", "Value": "149,163", "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "numeric", "Value": "2,237", "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "numeric", "Value": "4,904", "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "numeric", "Value": "1,063", "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "numeric", "Value": "8,204", "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "numeric", "Value": "157,367", "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "60,990", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "218,357", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "dollar", "Value": "99,641", "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "dollar", "Value": "105,122", "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "dollar", "Value": "145,863", "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "percent", "Value": "5.5", "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "percent", "Value": "40.9", "NarrativeData": null } ] }, { "Code": "DEPS_T4IndiHireForeNati", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "T4. Indirect Hire Foreign Nationals (IHFN)", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "percent", "Value": "0.0", "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "percent", "Value": "0.0", "NarrativeData": null } ] }, { "Code": "DEPS_SubtTotaFundExclOc13", "Type": "subtotal", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Subtotal - Total Funded (excludes OC 13)", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "numeric", "Value": "1,486", "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "numeric", "Value": "1,497", "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "numeric", "Value": "1,497", "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "numeric", "Value": "149,163", "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "numeric", "Value": "2,237", "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "numeric", "Value": "4,904", "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "numeric", "Value": "1,063", "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "numeric", "Value": "8,204", "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "numeric", "Value": "157,367", "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "60,990", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "218,357", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "dollar", "Value": "99,641", "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "dollar", "Value": "105,122", "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "dollar", "Value": "145,863", "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "percent", "Value": "5.5", "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "percent", "Value": "40.9", "NarrativeData": null } ] }, { "Code": "DEPS_T5OtheObjeClas13Bene", "Type": "total", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "T5. Other Object Class 13 Benefits", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "blank", "Value": null, "NarrativeData": null } ] }, { "Code": "DEPS_T5aUsdhBeneForFormEmpl", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "T5a. USDH - Benefits of Former Employees", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "blank", "Value": null, "NarrativeData": null } ] }, { "Code": "DEPS_T5bDhfnBeneForFormEmpl", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "T5b. DHFN - Benefits of Former Employees", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "blank", "Value": null, "NarrativeData": null } ] }, { "Code": "DEPS_T5cVoluSepaIncePay", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "T5c. Voluntary Separation Incentive Pay (VSIP)", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "blank", "Value": null, "NarrativeData": null } ] }, { "Code": "DEPS_T5dForeNatiSepaLiab", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "T5d. Foreign National Separation Liability", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "blank", "Value": null, "NarrativeData": null } ] } ] }, { "Name": "PY Note", "Description": "", "Type": "Toggle", "ToggleOrder": "text", "Text": { "Enccoding": "HTML", "Value": "Estimates represent Civilians who are funded annually from the Drug Interdiction and Counter-Drug Activities, Defense appropriation, a Central Transfer Account, to the Military Departments and Defense Agencies." }, "Uploads": [] } ] }, { "Name": "CY Tab", "Description": "", "Type": "Tab", "Children": [ { "Name": "CY Grid", "Description": "", "Type": "Grid", "Code": "OP8P1_CY", "Columns": [ { "Code": "Py", "Text": "FY 2026", "Group": "", "Level": 1, "Order": 18.0, "Type": "numeric" }, { "Code": "InThou", "Text": "($ in Thousands)", "Group": "", "Level": 1, "Order": 19.0, "Type": "numeric" }, { "Code": "Rate", "Text": "Rates", "Group": "", "Level": 1, "Order": 20.0, "Type": "numeric" }, { "Code": "RowText", "Text": "", "Group": "", "Level": 0, "Order": 1.0, "Type": "text" }, { "Code": "BegiStre", "Text": "Begin\\n Strength", "Group": "", "Level": 0, "Order": 2.0, "Type": "numeric" }, { "Code": "EndStre", "Text": "End\\n Strength", "Group": "", "Level": 0, "Order": 3.0, "Type": "numeric" }, { "Code": "Ftes", "Text": "FTEs", "Group": "", "Level": 0, "Order": 4.0, "Type": "numeric" }, { "Code": "BasiComp", "Text": "Basic\\n Comp", "Group": "", "Level": 0, "Order": 5.0, "Type": "numeric" }, { "Code": "OverPay", "Text": "Overtime\\n Pay", "Group": "", "Level": 0, "Order": 6.0, "Type": "numeric" }, { "Code": "HoliPay", "Text": "Holiday\\n Pay", "Group": "", "Level": 0, "Order": 7.0, "Type": "numeric" }, { "Code": "OtheOC11", "Text": "Other\\n O.C.11", "Group": "", "Level": 0, "Order": 8.0, "Type": "numeric" }, { "Code": "TotaVari", "Text": "Total\\n Variables", "Group": "", "Level": 0, "Order": 9.0, "Type": "numeric" }, { "Code": "CompOC11", "Text": "Comp\\n O.C.11", "Group": "", "Level": 0, "Order": 10.0, "Type": "numeric" }, { "Code": "BeneOC1213", "Text": "Benefits\\n O.C.12/13", "Group": "", "Level": 0, "Order": 11.0, "Type": "numeric" }, { "Code": "CompBene", "Text": "Comp\\n & Benefits", "Group": "", "Level": 0, "Order": 12.0, "Type": "numeric" }, { "Code": "RateBasiComp", "Text": "Basic\\n Comp", "Group": "", "Level": 0, "Order": 13.0, "Type": "dollar" }, { "Code": "RateTotaComp", "Text": "Total\\n Comp", "Group": "", "Level": 0, "Order": 14.0, "Type": "dollar" }, { "Code": "RateCompBene", "Text": "Comp\\n & Benefits", "Group": "", "Level": 0, "Order": 15.0, "Type": "dollar" }, { "Code": "RatePercBcVari", "Text": "% BC\\n Variables", "Group": "", "Level": 0, "Order": 16.0, "Type": "percent" }, { "Code": "RatePercBcBene", "Text": "% BC\\n Benefits", "Group": "", "Level": 0, "Order": 17.0, "Type": "percent" } ], "Rows": [ { "Code": "DEPS_DireFundPersInclOc13", "Type": "subtotal", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Direct Funded Personnel (includes OC 13)", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "numeric", "Value": "1,497", "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "numeric", "Value": "1,473", "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "numeric", "Value": "1,473", "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "numeric", "Value": "145,355", "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "numeric", "Value": "2,237", "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "numeric", "Value": "4,904", "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "numeric", "Value": "1,063", "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "numeric", "Value": "8,204", "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "numeric", "Value": "153,559", "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "60,990", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "214,549", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "dollar", "Value": "98,680", "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "dollar", "Value": "104,249", "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "dollar", "Value": "145,654", "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "percent", "Value": "5.6", "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "percent", "Value": "42.0", "NarrativeData": null } ] }, { "Code": "DEPS_DireFundPersInclOc13Blnk", "Type": "blank", "Cells": [] }, { "Code": "DEPS_D1UsDireHire", "Type": "total", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "D1. US Direct Hire (USDH)", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "numeric", "Value": "1,497", "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "numeric", "Value": "1,473", "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "numeric", "Value": "1,473", "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "numeric", "Value": "145,355", "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "numeric", "Value": "2,237", "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "numeric", "Value": "4,904", "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "numeric", "Value": "1,063", "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "numeric", "Value": "8,204", "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "numeric", "Value": "153,559", "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "60,990", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "214,549", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "dollar", "Value": "98,680", "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "dollar", "Value": "104,249", "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "dollar", "Value": "145,654", "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "percent", "Value": "5.6", "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "percent", "Value": "42.0", "NarrativeData": null } ] }, { "Code": "DEPS_D1aSeniExecSche", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "D1a. Senior Executive Schedule", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "percent", "Value": "0.0", "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "percent", "Value": "0.0", "NarrativeData": null } ] }, { "Code": "DEPS_D1bGeneSche", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "D1b. General Schedule", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "numeric", "Value": "1,497", "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "numeric", "Value": "1,473", "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "numeric", "Value": "1,473", "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "numeric", "Value": "145,355", "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "numeric", "Value": "2,237", "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "numeric", "Value": "4,904", "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "numeric", "Value": "1,063", "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "numeric", "Value": "8,204", "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "numeric", "Value": "153,559", "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "60,990", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "214,549", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "dollar", "Value": "98,680", "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "dollar", "Value": "104,249", "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "dollar", "Value": "145,654", "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "percent", "Value": "5.6", "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "percent", "Value": "42.0", "NarrativeData": null } ] }, { "Code": "DEPS_D1cSpecSche", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "D1c. Special Schedule", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "percent", "Value": "0.0", "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "percent", "Value": "0.0", "NarrativeData": null } ] }, { "Code": "DEPS_D1dWageSyst", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "D1d. Wage System", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "percent", "Value": "0.0", "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "percent", "Value": "0.0", "NarrativeData": null } ] }, { "Code": "DEPS_D1eHighQualExpe", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "D1e. Highly Qualified Experts", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": " - ", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "percent", "Value": "0.0", "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "percent", "Value": "0.0", "NarrativeData": null } ] }, { "Code": "DEPS_D1fOthe", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "D1f. Other", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": " - ", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "percent", "Value": "0.0", "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "percent", "Value": "0.0", "NarrativeData": null } ] }, { "Code": "DEPS_D1UsDireHireBlnk", "Type": "blank", "Cells": [] }, { "Code": "DEPS_D2DireHireProgForeNati", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "D2. Direct Hire Foreign Nationals (DHFN)", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "percent", "Value": "0.0", "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "percent", "Value": "0.0", "NarrativeData": null } ] }, { "Code": "DEPS_D3TotaDireHire", "Type": "total", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "D3. Total Direct Hire", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "numeric", "Value": "1,497", "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "numeric", "Value": "1,473", "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "numeric", "Value": "1,473", "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "numeric", "Value": "145,355", "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "numeric", "Value": "2,237", "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "numeric", "Value": "4,904", "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "numeric", "Value": "1,063", "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "numeric", "Value": "8,204", "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "numeric", "Value": "153,559", "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "60,990", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "214,549", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "dollar", "Value": "98,680", "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "dollar", "Value": "104,249", "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "dollar", "Value": "145,654", "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "percent", "Value": "5.6", "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "percent", "Value": "42.0", "NarrativeData": null } ] }, { "Code": "DEPS_D4IndiHireForeNati", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "D4. Indirect Hire Foreign Nationals (IHFN)", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "numeric", "Value": " - ", "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "numeric", "Value": " - ", "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "numeric", "Value": " - ", "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "numeric", "Value": " - ", "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": " - ", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "percent", "Value": "0.0", "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "percent", "Value": "0.0", "NarrativeData": null } ] }, { "Code": "DEPS_SubtDireFundExclOc13", "Type": "subtotal", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Subtotal - Direct Funded (excludes OC 13)", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "numeric", "Value": "1,497", "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "numeric", "Value": "1,473", "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "numeric", "Value": "1,473", "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "numeric", "Value": "145,355", "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "numeric", "Value": "2,237", "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "numeric", "Value": "4,904", "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "numeric", "Value": "1,063", "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "numeric", "Value": "8,204", "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "numeric", "Value": "153,559", "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "60,990", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "214,549", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "dollar", "Value": "98,680", "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "dollar", "Value": "104,249", "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "dollar", "Value": "145,654", "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "percent", "Value": "5.6", "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "percent", "Value": "42.0", "NarrativeData": null } ] }, { "Code": "DEPS_D5OtheObjeClas13Bene", "Type": "total", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "D5. Other Object Class 13 Benefits", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "blank", "Value": null, "NarrativeData": null } ] }, { "Code": "DEPS_D5aUsdhBeneForFormEmpl", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "D5a. USDH - Benefits of Former Employees", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "blank", "Value": null, "NarrativeData": null } ] }, { "Code": "DEPS_D5bDhfnBeneForFormEmpl", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "D5b. DHFN - Benefits of Former Employees", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "blank", "Value": null, "NarrativeData": null } ] }, { "Code": "DEPS_D5cVoluSepaIncePay", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "D5c. Voluntary Separation Incentive Pay (VSIP)", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "blank", "Value": null, "NarrativeData": null } ] }, { "Code": "DEPS_D5dForeNatiSepaLiab", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "D5d. Foreign National Separation Liability", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "blank", "Value": null, "NarrativeData": null } ] }, { "Code": "DEPS_D5OtheObjeClas13BeneBlnk", "Type": "blank", "Cells": [] }, { "Code": "DEPS_ReimFundPersInclOc13", "Type": "subtotal", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Reimbursable Funded Personnel (includes OC 13)", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "percent", "Value": "0.0", "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "percent", "Value": "0.0", "NarrativeData": null } ] }, { "Code": "DEPS_ReimFundPersInclOc13Blnk", "Type": "blank", "Cells": [] }, { "Code": "DEPS_R1UsDireHire", "Type": "total", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "R1. US Direct Hire (USDH)", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "percent", "Value": "0.0", "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "percent", "Value": "0.0", "NarrativeData": null } ] }, { "Code": "DEPS_R1aSeniExecSche", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "R1a. Senior Executive Schedule", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "percent", "Value": "0.0", "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "percent", "Value": "0.0", "NarrativeData": null } ] }, { "Code": "DEPS_R1bGeneSche", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "R1b. General Schedule", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "percent", "Value": "0.0", "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "percent", "Value": "0.0", "NarrativeData": null } ] }, { "Code": "DEPS_R1cSpecSche", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "R1c. Special Schedule", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "numeric", "Value": " - ", "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "numeric", "Value": " - ", "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "percent", "Value": "0.0", "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "percent", "Value": "0.0", "NarrativeData": null } ] }, { "Code": "DEPS_R1dWageSyst", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "R1d. Wage System", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "numeric", "Value": " - ", "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "numeric", "Value": " - ", "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "numeric", "Value": " - ", "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "numeric", "Value": " - ", "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "numeric", "Value": " - ", "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "numeric", "Value": " - ", "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "percent", "Value": "0.0", "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "percent", "Value": "0.0", "NarrativeData": null } ] }, { "Code": "DEPS_R1eHighQualExpe", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "R1e. Highly Qualified Experts", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "numeric", "Value": " - ", "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "numeric", "Value": " - ", "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "numeric", "Value": " - ", "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "numeric", "Value": " - ", "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "numeric", "Value": " - ", "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "numeric", "Value": " - ", "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "numeric", "Value": " - ", "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "percent", "Value": "0.0", "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "percent", "Value": "0.0", "NarrativeData": null } ] }, { "Code": "DEPS_R1fOthe", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "R1f. Other", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "numeric", "Value": " - ", "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "numeric", "Value": " - ", "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "numeric", "Value": " - ", "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "numeric", "Value": " - ", "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "numeric", "Value": " - ", "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "numeric", "Value": " - ", "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "numeric", "Value": " - ", "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "percent", "Value": "0.0", "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "percent", "Value": "0.0", "NarrativeData": null } ] }, { "Code": "DEPS_R1UsDireHireBlnk", "Type": "blank", "Cells": [] }, { "Code": "DEPS_R2DireHireProgForeNati", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "R2. Direct Hire Foreign Nationals (DHFN)", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "numeric", "Value": " - ", "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "numeric", "Value": " - ", "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "numeric", "Value": " - ", "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "numeric", "Value": " - ", "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "numeric", "Value": " - ", "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "numeric", "Value": " - ", "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "numeric", "Value": " - ", "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": " - ", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "percent", "Value": "0.0", "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "percent", "Value": "0.0", "NarrativeData": null } ] }, { "Code": "DEPS_R3TotaDireHire", "Type": "total", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "R3. Total Direct Hire", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "percent", "Value": "0.0", "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "percent", "Value": "0.0", "NarrativeData": null } ] }, { "Code": "DEPS_R4IndiHireForeNati", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "R4. Indirect Hire Foreign Nationals (IHFN)", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "numeric", "Value": " - ", "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "numeric", "Value": " - ", "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "numeric", "Value": " - ", "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "numeric", "Value": " - ", "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "percent", "Value": "0.0", "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "percent", "Value": "0.0", "NarrativeData": null } ] }, { "Code": "DEPS_SubtReimFundExclOc13", "Type": "subtotal", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Subtotal - Reimbursable Funded (excludes OC 13)", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "percent", "Value": "0.0", "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "percent", "Value": "0.0", "NarrativeData": null } ] }, { "Code": "DEPS_R5OtheObjeClas13Bene", "Type": "total", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "R5. Other Object Class 13 Benefits", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "blank", "Value": null, "NarrativeData": null } ] }, { "Code": "DEPS_R5aUsdhBeneForFormEmpl", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "R5a. USDH - Benefits of Former Employees", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "blank", "Value": null, "NarrativeData": null } ] }, { "Code": "DEPS_R5bDhfnBeneForFormEmpl", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "R5b. DHFN - Benefits of Former Employees", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "blank", "Value": null, "NarrativeData": null } ] }, { "Code": "DEPS_R5cVoluSepaIncePay", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "R5c. Voluntary Separation Incentive Pay (VSIP)", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "blank", "Value": null, "NarrativeData": null } ] }, { "Code": "DEPS_R5dForeNatiSepaLiab", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "R5d. Foreign National Separation Liability", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "blank", "Value": null, "NarrativeData": null } ] }, { "Code": "DEPS_R5OtheObjeClas13BeneBlnk", "Type": "blank", "Cells": [] }, { "Code": "DEPS_TotaPersInclOc13", "Type": "subtotal", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Total Personnel (includes OC 13)", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "numeric", "Value": "1,497", "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "numeric", "Value": "1,473", "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "numeric", "Value": "1,473", "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "numeric", "Value": "145,355", "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "numeric", "Value": "2,237", "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "numeric", "Value": "4,904", "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "numeric", "Value": "1,063", "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "numeric", "Value": "8,204", "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "numeric", "Value": "153,559", "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "60,990", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "214,549", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "dollar", "Value": "98,680", "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "dollar", "Value": "104,249", "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "dollar", "Value": "145,654", "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "percent", "Value": "5.6", "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "percent", "Value": "42.0", "NarrativeData": null } ] }, { "Code": "DEPS_TotaPersInclOc13Blnk", "Type": "blank", "Cells": [] }, { "Code": "DEPS_T1UsDireHire", "Type": "total", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "T1. US Direct Hire (USDH)", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "numeric", "Value": "1,497", "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "numeric", "Value": "1,473", "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "numeric", "Value": "1,473", "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "numeric", "Value": "145,355", "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "numeric", "Value": "2,237", "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "numeric", "Value": "4,904", "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "numeric", "Value": "1,063", "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "numeric", "Value": "8,204", "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "numeric", "Value": "153,559", "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "60,990", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "214,549", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "dollar", "Value": "98,680", "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "dollar", "Value": "104,249", "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "dollar", "Value": "145,654", "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "percent", "Value": "5.6", "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "percent", "Value": "42.0", "NarrativeData": null } ] }, { "Code": "DEPS_T1aSeniExecSche", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "T1a. Senior Executive Schedule", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "percent", "Value": "0.0", "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "percent", "Value": "0.0", "NarrativeData": null } ] }, { "Code": "DEPS_T1bGeneSche", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "T1b. General Schedule", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "numeric", "Value": "1,497", "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "numeric", "Value": "1,473", "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "numeric", "Value": "1,473", "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "numeric", "Value": "145,355", "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "numeric", "Value": "2,237", "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "numeric", "Value": "4,904", "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "numeric", "Value": "1,063", "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "numeric", "Value": "8,204", "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "numeric", "Value": "153,559", "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "60,990", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "214,549", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "dollar", "Value": "98,680", "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "dollar", "Value": "104,249", "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "dollar", "Value": "145,654", "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "percent", "Value": "5.6", "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "percent", "Value": "42.0", "NarrativeData": null } ] }, { "Code": "DEPS_T1cSpecSche", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "T1c. Special Schedule", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "percent", "Value": "0.0", "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "percent", "Value": "0.0", "NarrativeData": null } ] }, { "Code": "DEPS_T1dWageSyst", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "T1d. Wage System", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "percent", "Value": "0.0", "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "percent", "Value": "0.0", "NarrativeData": null } ] }, { "Code": "DEPS_T1eHighQualExpe", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "T1e. Highly Qualified Experts", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "percent", "Value": "0.0", "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "percent", "Value": "0.0", "NarrativeData": null } ] }, { "Code": "DEPS_T1fOthe", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "T1f. Other", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "percent", "Value": "0.0", "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "percent", "Value": "0.0", "NarrativeData": null } ] }, { "Code": "DEPS_T1UsDireHireBlnk", "Type": "blank", "Cells": [] }, { "Code": "DEPS_T2DireHireProgForeNati", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "T2. Direct Hire Foreign Nationals (DHFN)", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "percent", "Value": "0.0", "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "percent", "Value": "0.0", "NarrativeData": null } ] }, { "Code": "DEPS_T3TotaDireHire", "Type": "total", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "T3. Total Direct Hire", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "numeric", "Value": "1,497", "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "numeric", "Value": "1,473", "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "numeric", "Value": "1,473", "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "numeric", "Value": "145,355", "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "numeric", "Value": "2,237", "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "numeric", "Value": "4,904", "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "numeric", "Value": "1,063", "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "numeric", "Value": "8,204", "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "numeric", "Value": "153,559", "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "60,990", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "214,549", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "dollar", "Value": "98,680", "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "dollar", "Value": "104,249", "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "dollar", "Value": "145,654", "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "percent", "Value": "5.6", "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "percent", "Value": "42.0", "NarrativeData": null } ] }, { "Code": "DEPS_T4IndiHireForeNati", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "T4. Indirect Hire Foreign Nationals (IHFN)", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "percent", "Value": "0.0", "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "percent", "Value": "0.0", "NarrativeData": null } ] }, { "Code": "DEPS_SubtTotaFundExclOc13", "Type": "subtotal", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Subtotal - Total Funded (excludes OC 13)", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "numeric", "Value": "1,497", "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "numeric", "Value": "1,473", "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "numeric", "Value": "1,473", "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "numeric", "Value": "145,355", "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "numeric", "Value": "2,237", "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "numeric", "Value": "4,904", "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "numeric", "Value": "1,063", "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "numeric", "Value": "8,204", "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "numeric", "Value": "153,559", "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "60,990", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "214,549", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "dollar", "Value": "98,680", "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "dollar", "Value": "104,249", "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "dollar", "Value": "145,654", "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "percent", "Value": "5.6", "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "percent", "Value": "42.0", "NarrativeData": null } ] }, { "Code": "DEPS_T5OtheObjeClas13Bene", "Type": "total", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "T5. Other Object Class 13 Benefits", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "blank", "Value": null, "NarrativeData": null } ] }, { "Code": "DEPS_T5aUsdhBeneForFormEmpl", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "T5a. USDH - Benefits of Former Employees", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "blank", "Value": null, "NarrativeData": null } ] }, { "Code": "DEPS_T5bDhfnBeneForFormEmpl", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "T5b. DHFN - Benefits of Former Employees", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "blank", "Value": null, "NarrativeData": null } ] }, { "Code": "DEPS_T5cVoluSepaIncePay", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "T5c. Voluntary Separation Incentive Pay (VSIP)", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "blank", "Value": null, "NarrativeData": null } ] }, { "Code": "DEPS_T5dForeNatiSepaLiab", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "T5d. Foreign National Separation Liability", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "blank", "Value": null, "NarrativeData": null } ] } ] }, { "Name": "CY Note", "Description": "", "Type": "Toggle", "ToggleOrder": "text", "Text": { "Enccoding": "HTML", "Value": "Estimates represent Civilians who are funded annually from the Drug Interdiction and Counter-Drug Activities, Defense appropriation, a Central Transfer Account, to the Military Departments and Defense Agencies." }, "Uploads": [] } ] }, { "Name": "BY1 Tab", "Description": "", "Type": "Tab", "Children": [ { "Name": "BY1 Grid", "Description": "", "Type": "Grid", "Code": "OP8P1_BY1", "Columns": [ { "Code": "Py", "Text": "FY 2027", "Group": "", "Level": 1, "Order": 18.0, "Type": "numeric" }, { "Code": "InThou", "Text": "($ in Thousands)", "Group": "", "Level": 1, "Order": 19.0, "Type": "numeric" }, { "Code": "Rate", "Text": "Rates", "Group": "", "Level": 1, "Order": 20.0, "Type": "numeric" }, { "Code": "RowText", "Text": "", "Group": "", "Level": 0, "Order": 1.0, "Type": "text" }, { "Code": "BegiStre", "Text": "Begin\\n Strength", "Group": "", "Level": 0, "Order": 2.0, "Type": "numeric" }, { "Code": "EndStre", "Text": "End\\n Strength", "Group": "", "Level": 0, "Order": 3.0, "Type": "numeric" }, { "Code": "Ftes", "Text": "FTEs", "Group": "", "Level": 0, "Order": 4.0, "Type": "numeric" }, { "Code": "BasiComp", "Text": "Basic\\n Comp", "Group": "", "Level": 0, "Order": 5.0, "Type": "numeric" }, { "Code": "OverPay", "Text": "Overtime\\n Pay", "Group": "", "Level": 0, "Order": 6.0, "Type": "numeric" }, { "Code": "HoliPay", "Text": "Holiday\\n Pay", "Group": "", "Level": 0, "Order": 7.0, "Type": "numeric" }, { "Code": "OtheOC11", "Text": "Other\\n O.C.11", "Group": "", "Level": 0, "Order": 8.0, "Type": "numeric" }, { "Code": "TotaVari", "Text": "Total\\n Variables", "Group": "", "Level": 0, "Order": 9.0, "Type": "numeric" }, { "Code": "CompOC11", "Text": "Comp\\n O.C.11", "Group": "", "Level": 0, "Order": 10.0, "Type": "numeric" }, { "Code": "BeneOC1213", "Text": "Benefits\\n O.C.12/13", "Group": "", "Level": 0, "Order": 11.0, "Type": "numeric" }, { "Code": "CompBene", "Text": "Comp\\n & Benefits", "Group": "", "Level": 0, "Order": 12.0, "Type": "numeric" }, { "Code": "RateBasiComp", "Text": "Basic\\n Comp", "Group": "", "Level": 0, "Order": 13.0, "Type": "dollar" }, { "Code": "RateTotaComp", "Text": "Total\\n Comp", "Group": "", "Level": 0, "Order": 14.0, "Type": "dollar" }, { "Code": "RateCompBene", "Text": "Comp\\n & Benefits", "Group": "", "Level": 0, "Order": 15.0, "Type": "dollar" }, { "Code": "RatePercBcVari", "Text": "% BC\\n Variables", "Group": "", "Level": 0, "Order": 16.0, "Type": "percent" }, { "Code": "RatePercBcBene", "Text": "% BC\\n Benefits", "Group": "", "Level": 0, "Order": 17.0, "Type": "percent" } ], "Rows": [ { "Code": "DEPS_DireFundPersInclOc13", "Type": "subtotal", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Direct Funded Personnel (includes OC 13)", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "numeric", "Value": "1,473", "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "numeric", "Value": "1,478", "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "numeric", "Value": "1,478", "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "numeric", "Value": "146,305", "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "numeric", "Value": "2,237", "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "numeric", "Value": "4,904", "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "numeric", "Value": "1,063", "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "numeric", "Value": "8,204", "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "numeric", "Value": "154,509", "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "61,582", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "216,091", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "dollar", "Value": "98,988", "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "dollar", "Value": "104,539", "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "dollar", "Value": "146,205", "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "percent", "Value": "5.6", "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "percent", "Value": "42.1", "NarrativeData": null } ] }, { "Code": "DEPS_DireFundPersInclOc13Blnk", "Type": "blank", "Cells": [] }, { "Code": "DEPS_D1UsDireHire", "Type": "total", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "D1. US Direct Hire (USDH)", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "numeric", "Value": "1,473", "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "numeric", "Value": "1,478", "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "numeric", "Value": "1,478", "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "numeric", "Value": "146,305", "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "numeric", "Value": "2,237", "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "numeric", "Value": "4,904", "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "numeric", "Value": "1,063", "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "numeric", "Value": "8,204", "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "numeric", "Value": "154,509", "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "61,582", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "216,091", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "dollar", "Value": "98,988", "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "dollar", "Value": "104,539", "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "dollar", "Value": "146,205", "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "percent", "Value": "5.6", "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "percent", "Value": "42.1", "NarrativeData": null } ] }, { "Code": "DEPS_D1aSeniExecSche", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "D1a. Senior Executive Schedule", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "numeric", "Value": "1,473", "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "numeric", "Value": "1,478", "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "numeric", "Value": "1,478", "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "numeric", "Value": "146,305", "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "numeric", "Value": "2,237", "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "numeric", "Value": "4,904", "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "numeric", "Value": "1,063", "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "numeric", "Value": "8,204", "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "numeric", "Value": "154,509", "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "61,582", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "216,091", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "dollar", "Value": "98,988", "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "dollar", "Value": "104,539", "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "dollar", "Value": "146,205", "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "percent", "Value": "5.6", "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "percent", "Value": "42.1", "NarrativeData": null } ] }, { "Code": "DEPS_D1bGeneSche", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "D1b. General Schedule", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "percent", "Value": "0.0", "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "percent", "Value": "0.0", "NarrativeData": null } ] }, { "Code": "DEPS_D1cSpecSche", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "D1c. Special Schedule", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "percent", "Value": "0.0", "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "percent", "Value": "0.0", "NarrativeData": null } ] }, { "Code": "DEPS_D1dWageSyst", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "D1d. Wage System", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "percent", "Value": "0.0", "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "percent", "Value": "0.0", "NarrativeData": null } ] }, { "Code": "DEPS_D1eHighQualExpe", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "D1e. Highly Qualified Experts", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "percent", "Value": "0.0", "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "percent", "Value": "0.0", "NarrativeData": null } ] }, { "Code": "DEPS_D1fOthe", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "D1f. Other", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "percent", "Value": "0.0", "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "percent", "Value": "0.0", "NarrativeData": null } ] }, { "Code": "DEPS_D1UsDireHireBlnk", "Type": "blank", "Cells": [] }, { "Code": "DEPS_D2DireHireProgForeNati", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "D2. Direct Hire Foreign Nationals (DHFN)", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "percent", "Value": "0.0", "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "percent", "Value": "0.0", "NarrativeData": null } ] }, { "Code": "DEPS_D3TotaDireHire", "Type": "total", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "D3. Total Direct Hire", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "numeric", "Value": "1,473", "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "numeric", "Value": "1,478", "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "numeric", "Value": "1,478", "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "numeric", "Value": "146,305", "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "numeric", "Value": "2,237", "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "numeric", "Value": "4,904", "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "numeric", "Value": "1,063", "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "numeric", "Value": "8,204", "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "numeric", "Value": "154,509", "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "61,582", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "216,091", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "dollar", "Value": "98,988", "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "dollar", "Value": "104,539", "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "dollar", "Value": "146,205", "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "percent", "Value": "5.6", "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "percent", "Value": "42.1", "NarrativeData": null } ] }, { "Code": "DEPS_D4IndiHireForeNati", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "D4. Indirect Hire Foreign Nationals (IHFN)", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "percent", "Value": "0.0", "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "percent", "Value": "0.0", "NarrativeData": null } ] }, { "Code": "DEPS_SubtDireFundExclOc13", "Type": "subtotal", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Subtotal - Direct Funded (excludes OC 13)", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "numeric", "Value": "1,473", "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "numeric", "Value": "1,478", "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "numeric", "Value": "1,478", "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "numeric", "Value": "146,305", "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "numeric", "Value": "2,237", "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "numeric", "Value": "4,904", "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "numeric", "Value": "1,063", "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "numeric", "Value": "8,204", "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "numeric", "Value": "154,509", "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "61,582", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "216,091", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "dollar", "Value": "98,988", "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "dollar", "Value": "104,539", "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "dollar", "Value": "146,205", "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "percent", "Value": "5.6", "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "percent", "Value": "42.1", "NarrativeData": null } ] }, { "Code": "DEPS_D5OtheObjeClas13Bene", "Type": "total", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "D5. Other Object Class 13 Benefits", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "blank", "Value": null, "NarrativeData": null } ] }, { "Code": "DEPS_D5aUsdhBeneForFormEmpl", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "D5a. USDH - Benefits of Former Employees", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "blank", "Value": null, "NarrativeData": null } ] }, { "Code": "DEPS_D5bDhfnBeneForFormEmpl", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "D5b. DHFN - Benefits of Former Employees", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "blank", "Value": null, "NarrativeData": null } ] }, { "Code": "DEPS_D5cVoluSepaIncePay", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "D5c. Voluntary Separation Incentive Pay (VSIP)", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "blank", "Value": null, "NarrativeData": null } ] }, { "Code": "DEPS_D5dForeNatiSepaLiab", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "D5d. Foreign National Separation Liability", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "blank", "Value": null, "NarrativeData": null } ] }, { "Code": "DEPS_D5OtheObjeClas13BeneBlnk", "Type": "blank", "Cells": [] }, { "Code": "DEPS_ReimFundPersInclOc13", "Type": "subtotal", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Reimbursable Funded Personnel (includes OC 13)", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "percent", "Value": "0.0", "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "percent", "Value": "0.0", "NarrativeData": null } ] }, { "Code": "DEPS_ReimFundPersInclOc13Blnk", "Type": "blank", "Cells": [] }, { "Code": "DEPS_R1UsDireHire", "Type": "total", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "R1. US Direct Hire (USDH)", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "percent", "Value": "0.0", "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "percent", "Value": "0.0", "NarrativeData": null } ] }, { "Code": "DEPS_R1aSeniExecSche", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "R1a. Senior Executive Schedule", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "percent", "Value": "0.0", "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "percent", "Value": "0.0", "NarrativeData": null } ] }, { "Code": "DEPS_R1bGeneSche", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "R1b. General Schedule", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "percent", "Value": "0.0", "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "percent", "Value": "0.0", "NarrativeData": null } ] }, { "Code": "DEPS_R1cSpecSche", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "R1c. Special Schedule", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "percent", "Value": "0.0", "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "percent", "Value": "0.0", "NarrativeData": null } ] }, { "Code": "DEPS_R1dWageSyst", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "R1d. Wage System", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "percent", "Value": "0.0", "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "percent", "Value": "0.0", "NarrativeData": null } ] }, { "Code": "DEPS_R1eHighQualExpe", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "R1e. Highly Qualified Experts", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "percent", "Value": "0.0", "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "percent", "Value": "0.0", "NarrativeData": null } ] }, { "Code": "DEPS_R1fOthe", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "R1f. Other", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "percent", "Value": "0.0", "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "percent", "Value": "0.0", "NarrativeData": null } ] }, { "Code": "DEPS_R1UsDireHireBlnk", "Type": "blank", "Cells": [] }, { "Code": "DEPS_R2DireHireProgForeNati", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "R2. Direct Hire Foreign Nationals (DHFN)", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "percent", "Value": "0.0", "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "percent", "Value": "0.0", "NarrativeData": null } ] }, { "Code": "DEPS_R3TotaDireHire", "Type": "total", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "R3. Total Direct Hire", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "percent", "Value": "0.0", "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "percent", "Value": "0.0", "NarrativeData": null } ] }, { "Code": "DEPS_R4IndiHireForeNati", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "R4. Indirect Hire Foreign Nationals (IHFN)", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "percent", "Value": "0.0", "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "percent", "Value": "0.0", "NarrativeData": null } ] }, { "Code": "DEPS_SubtReimFundExclOc13", "Type": "subtotal", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Subtotal - Reimbursable Funded (excludes OC 13)", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "percent", "Value": "0.0", "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "percent", "Value": "0.0", "NarrativeData": null } ] }, { "Code": "DEPS_R5OtheObjeClas13Bene", "Type": "total", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "R5. Other Object Class 13 Benefits", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "blank", "Value": null, "NarrativeData": null } ] }, { "Code": "DEPS_R5aUsdhBeneForFormEmpl", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "R5a. USDH - Benefits of Former Employees", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "blank", "Value": null, "NarrativeData": null } ] }, { "Code": "DEPS_R5bDhfnBeneForFormEmpl", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "R5b. DHFN - Benefits of Former Employees", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "blank", "Value": null, "NarrativeData": null } ] }, { "Code": "DEPS_R5cVoluSepaIncePay", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "R5c. Voluntary Separation Incentive Pay (VSIP)", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "blank", "Value": null, "NarrativeData": null } ] }, { "Code": "DEPS_R5dForeNatiSepaLiab", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "R5d. Foreign National Separation Liability", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "blank", "Value": null, "NarrativeData": null } ] }, { "Code": "DEPS_R5OtheObjeClas13BeneBlnk", "Type": "blank", "Cells": [] }, { "Code": "DEPS_TotaPersInclOc13", "Type": "subtotal", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Total Personnel (includes OC 13)", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "numeric", "Value": "1,473", "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "numeric", "Value": "1,478", "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "numeric", "Value": "1,478", "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "numeric", "Value": "146,305", "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "numeric", "Value": "2,237", "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "numeric", "Value": "4,904", "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "numeric", "Value": "1,063", "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "numeric", "Value": "8,204", "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "numeric", "Value": "154,509", "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "61,582", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "216,091", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "dollar", "Value": "98,988", "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "dollar", "Value": "104,539", "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "dollar", "Value": "146,205", "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "percent", "Value": "5.6", "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "percent", "Value": "42.1", "NarrativeData": null } ] }, { "Code": "DEPS_TotaPersInclOc13Blnk", "Type": "blank", "Cells": [] }, { "Code": "DEPS_T1UsDireHire", "Type": "total", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "T1. US Direct Hire (USDH)", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "numeric", "Value": "1,473", "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "numeric", "Value": "1,478", "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "numeric", "Value": "1,478", "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "numeric", "Value": "146,305", "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "numeric", "Value": "2,237", "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "numeric", "Value": "4,904", "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "numeric", "Value": "1,063", "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "numeric", "Value": "8,204", "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "numeric", "Value": "154,509", "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "61,582", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "216,091", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "dollar", "Value": "98,988", "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "dollar", "Value": "104,539", "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "dollar", "Value": "146,205", "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "percent", "Value": "5.6", "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "percent", "Value": "42.1", "NarrativeData": null } ] }, { "Code": "DEPS_T1aSeniExecSche", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "T1a. Senior Executive Schedule", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "numeric", "Value": "1,473", "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "numeric", "Value": "1,478", "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "numeric", "Value": "1,478", "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "numeric", "Value": "146,305", "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "numeric", "Value": "2,237", "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "numeric", "Value": "4,904", "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "numeric", "Value": "1,063", "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "numeric", "Value": "8,204", "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "numeric", "Value": "154,509", "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "61,582", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "216,091", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "dollar", "Value": "98,988", "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "dollar", "Value": "104,539", "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "dollar", "Value": "146,205", "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "percent", "Value": "5.6", "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "percent", "Value": "42.1", "NarrativeData": null } ] }, { "Code": "DEPS_T1bGeneSche", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "T1b. General Schedule", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "percent", "Value": "0.0", "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "percent", "Value": "0.0", "NarrativeData": null } ] }, { "Code": "DEPS_T1cSpecSche", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "T1c. Special Schedule", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "percent", "Value": "0.0", "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "percent", "Value": "0.0", "NarrativeData": null } ] }, { "Code": "DEPS_T1dWageSyst", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "T1d. Wage System", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "percent", "Value": "0.0", "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "percent", "Value": "0.0", "NarrativeData": null } ] }, { "Code": "DEPS_T1eHighQualExpe", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "T1e. Highly Qualified Experts", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "percent", "Value": "0.0", "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "percent", "Value": "0.0", "NarrativeData": null } ] }, { "Code": "DEPS_T1fOthe", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "T1f. Other", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "percent", "Value": "0.0", "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "percent", "Value": "0.0", "NarrativeData": null } ] }, { "Code": "DEPS_T1UsDireHireBlnk", "Type": "blank", "Cells": [] }, { "Code": "DEPS_T2DireHireProgForeNati", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "T2. Direct Hire Foreign Nationals (DHFN)", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "percent", "Value": "0.0", "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "percent", "Value": "0.0", "NarrativeData": null } ] }, { "Code": "DEPS_T3TotaDireHire", "Type": "total", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "T3. Total Direct Hire", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "numeric", "Value": "1,473", "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "numeric", "Value": "1,478", "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "numeric", "Value": "1,478", "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "numeric", "Value": "146,305", "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "numeric", "Value": "2,237", "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "numeric", "Value": "4,904", "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "numeric", "Value": "1,063", "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "numeric", "Value": "8,204", "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "numeric", "Value": "154,509", "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "61,582", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "216,091", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "dollar", "Value": "98,988", "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "dollar", "Value": "104,539", "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "dollar", "Value": "146,205", "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "percent", "Value": "5.6", "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "percent", "Value": "42.1", "NarrativeData": null } ] }, { "Code": "DEPS_T4IndiHireForeNati", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "T4. Indirect Hire Foreign Nationals (IHFN)", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "dollar", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "percent", "Value": "0.0", "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "percent", "Value": "0.0", "NarrativeData": null } ] }, { "Code": "DEPS_SubtTotaFundExclOc13", "Type": "subtotal", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Subtotal - Total Funded (excludes OC 13)", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "numeric", "Value": "1,473", "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "numeric", "Value": "1,478", "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "numeric", "Value": "1,478", "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "numeric", "Value": "146,305", "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "numeric", "Value": "2,237", "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "numeric", "Value": "4,904", "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "numeric", "Value": "1,063", "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "numeric", "Value": "8,204", "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "numeric", "Value": "154,509", "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "61,582", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "216,091", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "dollar", "Value": "98,988", "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "dollar", "Value": "104,539", "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "dollar", "Value": "146,205", "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "percent", "Value": "5.6", "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "percent", "Value": "42.1", "NarrativeData": null } ] }, { "Code": "DEPS_T5OtheObjeClas13Bene", "Type": "total", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "T5. Other Object Class 13 Benefits", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "blank", "Value": null, "NarrativeData": null } ] }, { "Code": "DEPS_T5aUsdhBeneForFormEmpl", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "T5a. USDH - Benefits of Former Employees", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "blank", "Value": null, "NarrativeData": null } ] }, { "Code": "DEPS_T5bDhfnBeneForFormEmpl", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "T5b. DHFN - Benefits of Former Employees", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "blank", "Value": null, "NarrativeData": null } ] }, { "Code": "DEPS_T5cVoluSepaIncePay", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "T5c. Voluntary Separation Incentive Pay (VSIP)", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "blank", "Value": null, "NarrativeData": null } ] }, { "Code": "DEPS_T5dForeNatiSepaLiab", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "T5d. Foreign National Separation Liability", "NarrativeData": null }, { "ColumnCode": "BegiStre", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "EndStre", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "Ftes", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "BasiComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "OverPay", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "HoliPay", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "OtheOC11", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "TotaVari", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "CompOC11", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "BeneOC1213", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "CompBene", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "RateBasiComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RateTotaComp", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RateCompBene", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RatePercBcVari", "Type": "blank", "Value": null, "NarrativeData": null }, { "ColumnCode": "RatePercBcBene", "Type": "blank", "Value": null, "NarrativeData": null } ] } ] }, { "Name": "BY1 Note", "Description": "", "Type": "Toggle", "ToggleOrder": "text", "Text": { "Enccoding": "HTML", "Value": "Estimates represent Civilians who are funded annually from the Drug Interdiction and Counter-Drug Activities, Defense appropriation, a Central Transfer Account, to the Military Departments and Defense Agencies." }, "Uploads": [] } ] } ] } ] } }, { "Metadata": { "SourceSystem": "EAS", "ServiceAgencyAcronym": "CNSP", "ServiceAgencyName": "Drug Interdiction and Counter-Drug Activities, Defense", "BudgetYear": "2026", "BudgetCycle": "PB", "SubmissionDate": "April 2026", "AppropriationNumber": "0105D" }, "GeneratedOutput": { "Name": "PB-15", "Type": "Exhibit", "Description": "Advisory and Assistance Services", "Code": "DEPSPB15", "Children": [ { "Name": "PB-15 Tab Strip", "Description": "", "Type": "Tab Strip", "Children": [ { "Name": "Program Data", "Description": "", "Type": "Tab", "Children": [ { "Name": "Program Grid", "Description": "", "Type": "Grid", "Code": "Pb15Prog", "Columns": [ { "Code": "RowText", "Text": "Appropriation/Fund", "Group": "", "Level": 0, "Order": 1.0, "Type": "text" }, { "Code": "Py", "Text": "FY 2025 \\n Enacted", "Group": "", "Level": 0, "Order": 2.0, "Type": "numeric" }, { "Code": "Cy", "Text": "FY 2026 \\n Enacted", "Group": "", "Level": 0, "Order": 3.0, "Type": "numeric" }, { "Code": "By1", "Text": "FY 2027 \\n Request", "Group": "", "Level": 0, "Order": 4.0, "Type": "numeric" } ], "Rows": [ { "Code": "DEPS_ManaProfSuppServ", "Type": "header", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "I. Management & Professional Support Services", "NarrativeData": null } ] }, { "Code": "DEPS_ManaProfSuppServFfrdWork", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "FFRDC Work", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "0", "NarrativeData": null } ] }, { "Code": "DEPS_ManaProfSuppServNonFfrdWork", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Non-FFRDC Work", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "10,315", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "10,455", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "10,674", "NarrativeData": null } ] }, { "Code": "DEPS_ManaProfSuppServSubt", "Type": "subtotal", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Subtotal", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "10,315", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "10,455", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "10,674", "NarrativeData": null } ] }, { "Code": "DEPS_ManaProfSuppServBlnk", "Type": "blank", "Cells": [] }, { "Code": "DEPS_StudAnalEval", "Type": "header", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "II. Studies, Analysis & Evaluations", "NarrativeData": null } ] }, { "Code": "DEPS_StudAnalEvalFfrdWork", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "FFRDC Work", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "0", "NarrativeData": null } ] }, { "Code": "DEPS_StudAnalEvalNonFfrdWork", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Non-FFRDC Work", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "4,119", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "4,140", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "4,227", "NarrativeData": null } ] }, { "Code": "DEPS_StudAnalEvalSubt", "Type": "subtotal", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Subtotal", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "4,119", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "4,140", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "4,227", "NarrativeData": null } ] }, { "Code": "DEPS_StudAnalEvalBlnk", "Type": "blank", "Cells": [] }, { "Code": "DEPS_EngiTechServ", "Type": "header", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "III. Engineering & Technical Services", "NarrativeData": null } ] }, { "Code": "DEPS_EngiTechServFfrdWork", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "FFRDC Work", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "552", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "564", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "576", "NarrativeData": null } ] }, { "Code": "DEPS_EngiTechServNonFfrdWork", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Non-FFRDC Work", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "9,825", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "9,862", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "10,069", "NarrativeData": null } ] }, { "Code": "DEPS_EngiTechServSubt", "Type": "subtotal", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Subtotal", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "10,377", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "10,426", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "10,645", "NarrativeData": null } ] }, { "Code": "DEPS_EngiTechServBlnk", "Type": "blank", "Cells": [] }, { "Code": "DEPS_TraiLeadDeve", "Type": "header", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "IV: Training & Leadership Development", "NarrativeData": null } ] }, { "Code": "DEPS_TraiLeadDeveFfrdWork", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "FFRDC Work", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "0", "NarrativeData": null } ] }, { "Code": "DEPS_TraiLeadDeveNonFfrdWork", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Non-FFRDC Work", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "1,991", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "2,033", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "2,076", "NarrativeData": null } ] }, { "Code": "DEPS_TraiLeadDeveSubt", "Type": "subtotal", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Subtotal", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "1,991", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "2,033", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "2,076", "NarrativeData": null } ] }, { "Code": "DEPS_TraiLeadDeveBlnk", "Type": "blank", "Cells": [] }, { "Code": "DEPS_Tota", "Type": "header", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "TOTAL", "NarrativeData": null } ] }, { "Code": "DEPS_TotaFfrdWork", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "FFRDC Work", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "552", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "564", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "576", "NarrativeData": null } ] }, { "Code": "DEPS_TotaNonFfrdWork", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Non-FFRDC Work", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "26,250", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "26,490", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "27,046", "NarrativeData": null } ] }, { "Code": "DEPS_GranTota", "Type": "total", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "GRAND Total", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "26,802", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "27,054", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "27,622", "NarrativeData": null } ] }, { "Code": "DEPS_GranTotaBlnk", "Type": "blank", "Cells": [] }, { "Code": "DEPS_Reim", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Reimbursable", "NarrativeData": null }, { "ColumnCode": "Py", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "Cy", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "By1", "Type": "numeric", "Value": "0", "NarrativeData": null } ] } ] } ] }, { "Name": "FY {CY} Expl. of Changes", "Description": "", "Type": "Tab", "Children": [ { "Name": "Expl. of Changes", "Description": "", "Type": "Toggle", "ToggleOrder": "text", "Text": { "Enccoding": "HTML", "Value": "No changes." }, "Uploads": [] } ] }, { "Name": "FY {BY1} Expl. of Changes", "Description": "", "Type": "Tab", "Children": [ { "Name": "Expl. of Changes 2", "Description": "", "Type": "Toggle", "ToggleOrder": "text", "Text": { "Enccoding": "HTML", "Value": "No changes." }, "Uploads": [] } ] } ] }, { "Name": "PB-15 Footnote", "Description": "", "Type": "Toggle", "ToggleOrder": "text", "Text": { "Enccoding": "HTML", "Value": "Federal Acquisition Regulation, Part 2, Subpart, 2.1, Section 2.101 - Definitions:
Federally Funded Research and Development Centers (FFRDC’s) means activities that are sponsored under a broad charter by a Government agency (or agencies) for the purpose of performing, analyzing, integrating, supporting, and/or managing basic or applied research and/or development, and that receive 70 percent or more of their financial support from the Government; and-
(1) A long-term relationship is contemplated;
(2) Most or all of the facilities are owned or funded by the Government; and
(3) The FFRDC has access to Government and supplier data, employees, and facilities beyond that common in a normal contractual relationship.
" }, "Uploads": [] } ] } }, { "Metadata": { "SourceSystem": "EAS", "ServiceAgencyAcronym": "CNSP", "ServiceAgencyName": "Drug Interdiction and Counter-Drug Activities, Defense", "BudgetYear": "2026", "BudgetCycle": "PB", "SubmissionDate": "April 2026", "AppropriationNumber": "0105D" }, "GeneratedOutput": { "Name": "OP-32E", "Type": "Exhibit", "Description": "Contract Services Reports (C-1)", "Code": "OP32E_DEPS", "Children": [ { "Name": "Contract Services", "Description": "", "Type": "Tab Strip", "Children": [ { "Name": "Contract Services Cost", "Description": "", "Type": "Tab", "Children": [ { "Name": "Cost", "Description": "", "Type": "Grid", "Code": "OP32ECost", "Columns": [ { "Code": "ContServRepoC1", "Text": "Exhibit OP-32E Contract Services Reports (C-1) ($ in Thousands):", "Group": "", "Level": 2, "Order": 7.0, "Type": "text" }, { "Code": "numeric", "Text": "", "Group": "", "Level": 1, "Order": 6.0, "Type": "numeric" }, { "Code": "RowText", "Text": "Line", "Group": "", "Level": 0, "Order": 1.0, "Type": "text" }, { "Code": "Op32InflCateCode", "Text": "OP-32 Inflation Category Code", "Group": "", "Level": 0, "Order": 2.0, "Type": "text" }, { "Code": "FyPy", "Text": "FY 2025", "Group": "", "Level": 0, "Order": 3.0, "Type": "numeric" }, { "Code": "FyCy", "Text": "FY 2026", "Group": "", "Level": 0, "Order": 4.0, "Type": "numeric" }, { "Code": "FyBy1", "Text": "FY 2027", "Group": "", "Level": 0, "Order": 5.0, "Type": "numeric" } ], "Rows": [ { "Code": "DEPS_932", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "932", "NarrativeData": null }, { "ColumnCode": "Op32InflCateCode", "Type": "text", "Value": "Management and Professional Support Services", "NarrativeData": null }, { "ColumnCode": "FyPy", "Type": "numeric", "Value": "10,315", "NarrativeData": null }, { "ColumnCode": "FyCy", "Type": "numeric", "Value": "10,455", "NarrativeData": null }, { "ColumnCode": "FyBy1", "Type": "numeric", "Value": "10,674", "NarrativeData": null } ] }, { "Code": "DEPS_933", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "933", "NarrativeData": null }, { "ColumnCode": "Op32InflCateCode", "Type": "text", "Value": "Studies, Analyses, and Evaluations", "NarrativeData": null }, { "ColumnCode": "FyPy", "Type": "numeric", "Value": "4,119", "NarrativeData": null }, { "ColumnCode": "FyCy", "Type": "numeric", "Value": "4,140", "NarrativeData": null }, { "ColumnCode": "FyBy1", "Type": "numeric", "Value": "4,227", "NarrativeData": null } ] }, { "Code": "DEPS_934", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "934", "NarrativeData": null }, { "ColumnCode": "Op32InflCateCode", "Type": "text", "Value": "Engineering and Technical Services", "NarrativeData": null }, { "ColumnCode": "FyPy", "Type": "numeric", "Value": "10,377", "NarrativeData": null }, { "ColumnCode": "FyCy", "Type": "numeric", "Value": "10,426", "NarrativeData": null }, { "ColumnCode": "FyBy1", "Type": "numeric", "Value": "10,645", "NarrativeData": null } ] }, { "Code": "DEPS_BlnkRow", "Type": "subtotal", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "", "NarrativeData": null }, { "ColumnCode": "Op32InflCateCode", "Type": "text", "Value": "Subtotal 25.1 – Advisory and Assistance Services", "NarrativeData": null }, { "ColumnCode": "FyPy", "Type": "numeric", "Value": "24,811", "NarrativeData": null }, { "ColumnCode": "FyCy", "Type": "numeric", "Value": "25,021", "NarrativeData": null }, { "ColumnCode": "FyBy1", "Type": "numeric", "Value": "25,546", "NarrativeData": null } ] }, { "Code": "DEPS_BlnkRow_6", "Type": "blank", "Cells": [] }, { "Code": "DEPS_926", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "926", "NarrativeData": null }, { "ColumnCode": "Op32InflCateCode", "Type": "text", "Value": "Other Overseas Purchases", "NarrativeData": null }, { "ColumnCode": "FyPy", "Type": "numeric", "Value": "1,775", "NarrativeData": null }, { "ColumnCode": "FyCy", "Type": "numeric", "Value": "1,783", "NarrativeData": null }, { "ColumnCode": "FyBy1", "Type": "numeric", "Value": "1,820", "NarrativeData": null } ] }, { "Code": "DEPS_936", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "936", "NarrativeData": null }, { "ColumnCode": "Op32InflCateCode", "Type": "text", "Value": "Training and Leadership Development (Other Contracts)", "NarrativeData": null }, { "ColumnCode": "FyPy", "Type": "numeric", "Value": "1,991", "NarrativeData": null }, { "ColumnCode": "FyCy", "Type": "numeric", "Value": "2,033", "NarrativeData": null }, { "ColumnCode": "FyBy1", "Type": "numeric", "Value": "2,076", "NarrativeData": null } ] }, { "Code": "DEPS_989", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "989", "NarrativeData": null }, { "ColumnCode": "Op32InflCateCode", "Type": "text", "Value": "Other Services", "NarrativeData": null }, { "ColumnCode": "FyPy", "Type": "numeric", "Value": "20,542", "NarrativeData": null }, { "ColumnCode": "FyCy", "Type": "numeric", "Value": "20,895", "NarrativeData": null }, { "ColumnCode": "FyBy1", "Type": "numeric", "Value": "20,454", "NarrativeData": null } ] }, { "Code": "DEPS_BlnkRow_3", "Type": "subtotal", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "", "NarrativeData": null }, { "ColumnCode": "Op32InflCateCode", "Type": "text", "Value": "Subtotal 25.2 – Other Services from Non-Federal Source", "NarrativeData": null }, { "ColumnCode": "FyPy", "Type": "numeric", "Value": "24,308", "NarrativeData": null }, { "ColumnCode": "FyCy", "Type": "numeric", "Value": "24,711", "NarrativeData": null }, { "ColumnCode": "FyBy1", "Type": "numeric", "Value": "24,350", "NarrativeData": null } ] }, { "Code": "DEPS_BlnkRow_4", "Type": "blank", "Cells": [] }, { "Code": "DEPS_923", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "923", "NarrativeData": null }, { "ColumnCode": "Op32InflCateCode", "Type": "text", "Value": "Operation and Maintenance of Facilities", "NarrativeData": null }, { "ColumnCode": "FyPy", "Type": "numeric", "Value": "38,410", "NarrativeData": null }, { "ColumnCode": "FyCy", "Type": "numeric", "Value": "38,536", "NarrativeData": null }, { "ColumnCode": "FyBy1", "Type": "numeric", "Value": "39,344", "NarrativeData": null } ] }, { "Code": "DEPS_BlnkRow_5", "Type": "subtotal", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "", "NarrativeData": null }, { "ColumnCode": "Op32InflCateCode", "Type": "text", "Value": "Subtotal 25.4 – Operation and Maintenance of Facilities", "NarrativeData": null }, { "ColumnCode": "FyPy", "Type": "numeric", "Value": "38,410", "NarrativeData": null }, { "ColumnCode": "FyCy", "Type": "numeric", "Value": "38,536", "NarrativeData": null }, { "ColumnCode": "FyBy1", "Type": "numeric", "Value": "39,344", "NarrativeData": null } ] }, { "Code": "DEPS_BlnkRow_7", "Type": "blank", "Cells": [] }, { "Code": "DEPS_922", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "922", "NarrativeData": null }, { "ColumnCode": "Op32InflCateCode", "Type": "text", "Value": "Equipment Maintenance by Contract", "NarrativeData": null }, { "ColumnCode": "FyPy", "Type": "numeric", "Value": "104,809", "NarrativeData": null }, { "ColumnCode": "FyCy", "Type": "numeric", "Value": "132,525", "NarrativeData": null }, { "ColumnCode": "FyBy1", "Type": "numeric", "Value": "100,784", "NarrativeData": null } ] }, { "Code": "DEPS_927", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "927", "NarrativeData": null }, { "ColumnCode": "Op32InflCateCode", "Type": "text", "Value": "Air Defense Contracts and Space Support (USAF)", "NarrativeData": null }, { "ColumnCode": "FyPy", "Type": "numeric", "Value": "26,159", "NarrativeData": null }, { "ColumnCode": "FyCy", "Type": "numeric", "Value": "26,222", "NarrativeData": null }, { "ColumnCode": "FyBy1", "Type": "numeric", "Value": "26,773", "NarrativeData": null } ] }, { "Code": "DEPS_929", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "929", "NarrativeData": null }, { "ColumnCode": "Op32InflCateCode", "Type": "text", "Value": "Aircraft Reworks by Contract", "NarrativeData": null }, { "ColumnCode": "FyPy", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "FyCy", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "FyBy1", "Type": "numeric", "Value": "0", "NarrativeData": null } ] }, { "Code": "DEPS_990", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "990", "NarrativeData": null }, { "ColumnCode": "Op32InflCateCode", "Type": "text", "Value": "IT contract Support Services", "NarrativeData": null }, { "ColumnCode": "FyPy", "Type": "numeric", "Value": "8,739", "NarrativeData": null }, { "ColumnCode": "FyCy", "Type": "numeric", "Value": "8,293", "NarrativeData": null }, { "ColumnCode": "FyBy1", "Type": "numeric", "Value": "8,467", "NarrativeData": null } ] }, { "Code": "DEPS_BlnkRow_1", "Type": "subtotal", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "", "NarrativeData": null }, { "ColumnCode": "Op32InflCateCode", "Type": "text", "Value": "Subtotal 25.7 – Operation and Maintenance of Equipment", "NarrativeData": null }, { "ColumnCode": "FyPy", "Type": "numeric", "Value": "139,707", "NarrativeData": null }, { "ColumnCode": "FyCy", "Type": "numeric", "Value": "167,040", "NarrativeData": null }, { "ColumnCode": "FyBy1", "Type": "numeric", "Value": "136,024", "NarrativeData": null } ] }, { "Code": "DEPS_BlnkRow_2", "Type": "blank", "Cells": [] }, { "Code": "DEPS_Tota", "Type": "total", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "", "NarrativeData": null }, { "ColumnCode": "Op32InflCateCode", "Type": "text", "Value": "TOTAL", "NarrativeData": null }, { "ColumnCode": "FyPy", "Type": "numeric", "Value": "227,236", "NarrativeData": null }, { "ColumnCode": "FyCy", "Type": "numeric", "Value": "255,308", "NarrativeData": null }, { "ColumnCode": "FyBy1", "Type": "numeric", "Value": "225,264", "NarrativeData": null } ] } ] } ] }, { "Name": "Contract Services FTEs", "Description": "", "Type": "Tab", "Children": [ { "Name": "FTE", "Description": "", "Type": "Grid", "Code": "OP32EFTE", "Columns": [ { "Code": "ContServRepoC1", "Text": "Exhibit OP-32E Contract Services Reports (C-1) (Cont.):", "Group": "", "Level": 2, "Order": 6.0, "Type": "text" }, { "Code": "numeric", "Text": "", "Group": "", "Level": 1, "Order": 7.0, "Type": "text" }, { "Code": "numeric_1", "Text": "(Full-Time Equivalent)", "Group": "", "Level": 1, "Order": 8.0, "Type": "text" }, { "Code": "RowText", "Text": "Line", "Group": "", "Level": 0, "Order": 1.0, "Type": "text" }, { "Code": "Op32InflCateCode", "Text": "OP-32 Inflation Category Code", "Group": "", "Level": 0, "Order": 2.0, "Type": "text" }, { "Code": "FyPy", "Text": "FY 2025", "Group": "", "Level": 0, "Order": 3.0, "Type": "numeric" }, { "Code": "FyCy", "Text": "FY 2026", "Group": "", "Level": 0, "Order": 4.0, "Type": "numeric" }, { "Code": "FyBy1", "Text": "FY 2027", "Group": "", "Level": 0, "Order": 5.0, "Type": "numeric" } ], "Rows": [ { "Code": "DEPS_932", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "932", "NarrativeData": null }, { "ColumnCode": "Op32InflCateCode", "Type": "text", "Value": "Management and Professional Support Services", "NarrativeData": null }, { "ColumnCode": "FyPy", "Type": "numeric", "Value": "79", "NarrativeData": null }, { "ColumnCode": "FyCy", "Type": "numeric", "Value": "79", "NarrativeData": null }, { "ColumnCode": "FyBy1", "Type": "numeric", "Value": "79", "NarrativeData": null } ] }, { "Code": "DEPS_933", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "933", "NarrativeData": null }, { "ColumnCode": "Op32InflCateCode", "Type": "text", "Value": "Studies, Analyses, and Evaluations", "NarrativeData": null }, { "ColumnCode": "FyPy", "Type": "numeric", "Value": "21", "NarrativeData": null }, { "ColumnCode": "FyCy", "Type": "numeric", "Value": "21", "NarrativeData": null }, { "ColumnCode": "FyBy1", "Type": "numeric", "Value": "21", "NarrativeData": null } ] }, { "Code": "DEPS_934", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "934", "NarrativeData": null }, { "ColumnCode": "Op32InflCateCode", "Type": "text", "Value": "Engineering and Technical Services", "NarrativeData": null }, { "ColumnCode": "FyPy", "Type": "numeric", "Value": "54", "NarrativeData": null }, { "ColumnCode": "FyCy", "Type": "numeric", "Value": "54", "NarrativeData": null }, { "ColumnCode": "FyBy1", "Type": "numeric", "Value": "54", "NarrativeData": null } ] }, { "Code": "DEPS_BlnkRow_4", "Type": "subtotal", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "", "NarrativeData": null }, { "ColumnCode": "Op32InflCateCode", "Type": "text", "Value": "Subtotal 25.1 – Advisory and Assistance Services", "NarrativeData": null }, { "ColumnCode": "FyPy", "Type": "numeric", "Value": "154", "NarrativeData": null }, { "ColumnCode": "FyCy", "Type": "numeric", "Value": "154", "NarrativeData": null }, { "ColumnCode": "FyBy1", "Type": "numeric", "Value": "154", "NarrativeData": null } ] }, { "Code": "DEPS_BlnkRow_5", "Type": "blank", "Cells": [] }, { "Code": "DEPS_926", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "926", "NarrativeData": null }, { "ColumnCode": "Op32InflCateCode", "Type": "text", "Value": "Other Overseas Purchases", "NarrativeData": null }, { "ColumnCode": "FyPy", "Type": "numeric", "Value": "9", "NarrativeData": null }, { "ColumnCode": "FyCy", "Type": "numeric", "Value": "9", "NarrativeData": null }, { "ColumnCode": "FyBy1", "Type": "numeric", "Value": "9", "NarrativeData": null } ] }, { "Code": "DEPS_936", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "936", "NarrativeData": null }, { "ColumnCode": "Op32InflCateCode", "Type": "text", "Value": "Training and Leadership Development (Other Contracts)", "NarrativeData": null }, { "ColumnCode": "FyPy", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "FyCy", "Type": "numeric", "Value": "150", "NarrativeData": null }, { "ColumnCode": "FyBy1", "Type": "numeric", "Value": "150", "NarrativeData": null } ] }, { "Code": "DEPS_989", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "989", "NarrativeData": null }, { "ColumnCode": "Op32InflCateCode", "Type": "text", "Value": "Other Services", "NarrativeData": null }, { "ColumnCode": "FyPy", "Type": "numeric", "Value": "19", "NarrativeData": null }, { "ColumnCode": "FyCy", "Type": "numeric", "Value": "19", "NarrativeData": null }, { "ColumnCode": "FyBy1", "Type": "numeric", "Value": "19", "NarrativeData": null } ] }, { "Code": "DEPS_BlnkRow", "Type": "subtotal", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "", "NarrativeData": null }, { "ColumnCode": "Op32InflCateCode", "Type": "text", "Value": "Subtotal 25.2 – Other Services from Non-Federal Source", "NarrativeData": null }, { "ColumnCode": "FyPy", "Type": "numeric", "Value": "28", "NarrativeData": null }, { "ColumnCode": "FyCy", "Type": "numeric", "Value": "178", "NarrativeData": null }, { "ColumnCode": "FyBy1", "Type": "numeric", "Value": "178", "NarrativeData": null } ] }, { "Code": "DEPS_BlnkRow_1", "Type": "blank", "Cells": [] }, { "Code": "DEPS_923", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "923", "NarrativeData": null }, { "ColumnCode": "Op32InflCateCode", "Type": "text", "Value": "Operation and Maintenance of Facilities", "NarrativeData": null }, { "ColumnCode": "FyPy", "Type": "numeric", "Value": "195", "NarrativeData": null }, { "ColumnCode": "FyCy", "Type": "numeric", "Value": "193", "NarrativeData": null }, { "ColumnCode": "FyBy1", "Type": "numeric", "Value": "193", "NarrativeData": null } ] }, { "Code": "DEPS_BlnkRow_2", "Type": "subtotal", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "", "NarrativeData": null }, { "ColumnCode": "Op32InflCateCode", "Type": "text", "Value": "Subtotal 25.4 – Operation and Maintenance of Facilities", "NarrativeData": null }, { "ColumnCode": "FyPy", "Type": "numeric", "Value": "195", "NarrativeData": null }, { "ColumnCode": "FyCy", "Type": "numeric", "Value": "193", "NarrativeData": null }, { "ColumnCode": "FyBy1", "Type": "numeric", "Value": "193", "NarrativeData": null } ] }, { "Code": "DEPS_BlnkRow_3", "Type": "blank", "Cells": [] }, { "Code": "DEPS_922", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "922", "NarrativeData": null }, { "ColumnCode": "Op32InflCateCode", "Type": "text", "Value": "Equipment Maintenance by Contract", "NarrativeData": null }, { "ColumnCode": "FyPy", "Type": "numeric", "Value": "663", "NarrativeData": null }, { "ColumnCode": "FyCy", "Type": "numeric", "Value": "543", "NarrativeData": null }, { "ColumnCode": "FyBy1", "Type": "numeric", "Value": "543", "NarrativeData": null } ] }, { "Code": "DEPS_927", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "927", "NarrativeData": null }, { "ColumnCode": "Op32InflCateCode", "Type": "text", "Value": "Air Defense Contracts and Space Support (USAF)", "NarrativeData": null }, { "ColumnCode": "FyPy", "Type": "numeric", "Value": "134", "NarrativeData": null }, { "ColumnCode": "FyCy", "Type": "numeric", "Value": "132", "NarrativeData": null }, { "ColumnCode": "FyBy1", "Type": "numeric", "Value": "132", "NarrativeData": null } ] }, { "Code": "DEPS_929", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "929", "NarrativeData": null }, { "ColumnCode": "Op32InflCateCode", "Type": "text", "Value": "Aircraft Reworks by Contract", "NarrativeData": null }, { "ColumnCode": "FyPy", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "FyCy", "Type": "numeric", "Value": "0", "NarrativeData": null }, { "ColumnCode": "FyBy1", "Type": "numeric", "Value": "0", "NarrativeData": null } ] }, { "Code": "DEPS_990", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "990", "NarrativeData": null }, { "ColumnCode": "Op32InflCateCode", "Type": "text", "Value": "IT contract Support Services", "NarrativeData": null }, { "ColumnCode": "FyPy", "Type": "numeric", "Value": "51", "NarrativeData": null }, { "ColumnCode": "FyCy", "Type": "numeric", "Value": "46", "NarrativeData": null }, { "ColumnCode": "FyBy1", "Type": "numeric", "Value": "46", "NarrativeData": null } ] }, { "Code": "DEPS_BlnkRow_6", "Type": "subtotal", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "", "NarrativeData": null }, { "ColumnCode": "Op32InflCateCode", "Type": "text", "Value": "Subtotal 25.7 – Operation and Maintenance of Equipment", "NarrativeData": null }, { "ColumnCode": "FyPy", "Type": "numeric", "Value": "848", "NarrativeData": null }, { "ColumnCode": "FyCy", "Type": "numeric", "Value": "721", "NarrativeData": null }, { "ColumnCode": "FyBy1", "Type": "numeric", "Value": "721", "NarrativeData": null } ] }, { "Code": "DEPS_BlnkRow_7", "Type": "blank", "Cells": [] }, { "Code": "DEPS_BlnkRow_8", "Type": "total", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "", "NarrativeData": null }, { "ColumnCode": "Op32InflCateCode", "Type": "text", "Value": "TOTAL", "NarrativeData": null }, { "ColumnCode": "FyPy", "Type": "numeric", "Value": "1,225", "NarrativeData": null }, { "ColumnCode": "FyCy", "Type": "numeric", "Value": "1,246", "NarrativeData": null }, { "ColumnCode": "FyBy1", "Type": "numeric", "Value": "1,246", "NarrativeData": null } ] } ] } ] } ] } ] } } ] } }, { "Metadata": { "SourceSystem": "EAS", "ServiceAgencyAcronym": "CNSP", "ServiceAgencyName": "Drug Interdiction and Counter-Drug Activities, Defense", "BudgetYear": "2026", "BudgetCycle": "PB", "SubmissionDate": "April 2026", "AppropriationNumber": "0105D" }, "GeneratedOutput": { "Name": "Accompanying Exhibits", "Type": "Book Section", "Description": "Additional Accompanying Exhibits", "Children": [ { "Metadata": { "SourceSystem": "EAS", "ServiceAgencyAcronym": "CNSP", "ServiceAgencyName": "Drug Interdiction and Counter-Drug Activities, Defense", "BudgetYear": "2026", "BudgetCycle": "PB", "SubmissionDate": "April 2026", "AppropriationNumber": "0105D" }, "GeneratedOutput": { "Name": "PB-57", "Type": "Exhibit", "Description": "Office of National Drug Control Policy", "Code": "DEPSPB57", "Children": [ { "Name": "PB-57 Appropriation", "Description": "", "Type": "Toggle", "ToggleOrder": "text", "Text": { "Enccoding": "HTML", "Value": "The FY 2027 budget estimate of $918,002 thousand represents a decrease of -$230,673 thousand when compared to the FY 2026 budget enacted amount of $1,148,675 thousand. The following is a summary of the Department of War request by the Office of National Drug Control Policy National Drug Control Function categories:" }, "Uploads": [] }, { "Name": "DEPSPB57", "Description": "", "Type": "Grid", "Code": "DEPSPB57", "Columns": [ { "Code": "RowText", "Text": "Drug Control Function:", "Group": "", "Level": 0, "Order": 1.0, "Type": "text" }, { "Code": "FyPy", "Text": "FY 2025 \\n Enacted", "Group": "", "Level": 0, "Order": 2.0, "Type": "numeric" }, { "Code": "FyCy", "Text": "FY 2026 \\n Enacted", "Group": "", "Level": 0, "Order": 3.0, "Type": "numeric" }, { "Code": "FyBy1", "Text": "FY 2027 \\n Request", "Group": "", "Level": 0, "Order": 4.0, "Type": "numeric" } ], "Rows": [ { "Code": "DEPS_Inte", "Type": "subtotal", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Intelligence", "NarrativeData": null }, { "ColumnCode": "FyPy", "Type": "numeric", "Value": "228,897", "NarrativeData": null }, { "ColumnCode": "FyCy", "Type": "numeric", "Value": "228,496", "NarrativeData": null }, { "ColumnCode": "FyBy1", "Type": "numeric", "Value": "232,277", "NarrativeData": null } ] }, { "Code": "DEPS_Inte_child_1718139041335", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Intelligence: Domestic Law Enforcement", "NarrativeData": null }, { "ColumnCode": "FyPy", "Type": "numeric", "Value": "11,814", "NarrativeData": null }, { "ColumnCode": "FyCy", "Type": "numeric", "Value": "12,151", "NarrativeData": null }, { "ColumnCode": "FyBy1", "Type": "numeric", "Value": "12,960", "NarrativeData": null } ] }, { "Code": "DEPS_Inte_child_1718139041976", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Intelligence: Interdiction", "NarrativeData": null }, { "ColumnCode": "FyPy", "Type": "numeric", "Value": "200,272", "NarrativeData": null }, { "ColumnCode": "FyCy", "Type": "numeric", "Value": "198,747", "NarrativeData": null }, { "ColumnCode": "FyBy1", "Type": "numeric", "Value": "201,928", "NarrativeData": null } ] }, { "Code": "DEPS_Inte_child_1718139042694", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Intelligence: International", "NarrativeData": null }, { "ColumnCode": "FyPy", "Type": "numeric", "Value": "16,811", "NarrativeData": null }, { "ColumnCode": "FyCy", "Type": "numeric", "Value": "17,598", "NarrativeData": null }, { "ColumnCode": "FyBy1", "Type": "numeric", "Value": "17,389", "NarrativeData": null } ] }, { "Code": "DEPS_Inte_1", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Interdiction", "NarrativeData": null }, { "ColumnCode": "FyPy", "Type": "numeric", "Value": "395,096", "NarrativeData": null }, { "ColumnCode": "FyCy", "Type": "numeric", "Value": "418,601", "NarrativeData": null }, { "ColumnCode": "FyBy1", "Type": "numeric", "Value": "394,385", "NarrativeData": null } ] }, { "Code": "DEPS_Inte_2", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "International", "NarrativeData": null }, { "ColumnCode": "FyPy", "Type": "numeric", "Value": "29,709", "NarrativeData": null }, { "ColumnCode": "FyCy", "Type": "numeric", "Value": "31,640", "NarrativeData": null }, { "ColumnCode": "FyBy1", "Type": "numeric", "Value": "31,529", "NarrativeData": null } ] }, { "Code": "DEPS_Prev", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Prevention", "NarrativeData": null }, { "ColumnCode": "FyPy", "Type": "numeric", "Value": "135,567", "NarrativeData": null }, { "ColumnCode": "FyCy", "Type": "numeric", "Value": "134,938", "NarrativeData": null }, { "ColumnCode": "FyBy1", "Type": "numeric", "Value": "135,745", "NarrativeData": null } ] }, { "Code": "DEPS_StatAndLocaAssi", "Type": "data", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "State and Local Assistance", "NarrativeData": null }, { "ColumnCode": "FyPy", "Type": "numeric", "Value": "321,167", "NarrativeData": null }, { "ColumnCode": "FyCy", "Type": "numeric", "Value": "335,000", "NarrativeData": null }, { "ColumnCode": "FyBy1", "Type": "numeric", "Value": "124,066", "NarrativeData": null } ] }, { "Code": "DEPS_Tota", "Type": "total", "Cells": [ { "ColumnCode": "RowText", "Type": "text", "Value": "Total", "NarrativeData": null }, { "ColumnCode": "FyPy", "Type": "numeric", "Value": "1,110,436", "NarrativeData": null }, { "ColumnCode": "FyCy", "Type": "numeric", "Value": "1,148,675", "NarrativeData": null }, { "ColumnCode": "FyBy1", "Type": "numeric", "Value": "918,002", "NarrativeData": null } ] } ] } ] } }, { "Metadata": { "SourceSystem": "EAS", "ServiceAgencyAcronym": "CNSP", "ServiceAgencyName": "Drug Interdiction and Counter-Drug Activities, Defense", "BudgetYear": "2026", "BudgetCycle": "PB", "SubmissionDate": "April 2026", "AppropriationNumber": "0105D" }, "GeneratedOutput": { "Name": "PB-45", "Type": "Exhibit", "Description": "Resource Details", "Code": "DEPSPB45", "Children": [ { "Name": "uploadToggle", "Description": "", "Type": "Toggle", "ToggleOrder": "upload", "Text": { "Enccoding": "", "Value": "" }, "Uploads": [ { "Filename": "DEPS_PB-45_PB27.docx", "ByteArray": "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" } ] } ] } }, { "Metadata": { "SourceSystem": "EAS", "ServiceAgencyAcronym": "CNSP", "ServiceAgencyName": "Drug Interdiction and Counter-Drug Activities, Defense", "BudgetYear": "2026", "BudgetCycle": "PB", "SubmissionDate": "April 2026", "AppropriationNumber": "0105D" }, "GeneratedOutput": { "Name": "PB-47", "Type": "Exhibit", "Description": "Project Number Descriptions", "Code": "DEPSPB47", "Children": [ { "Name": "uploadToggle", "Description": "", "Type": "Toggle", "ToggleOrder": "upload", "Text": { "Enccoding": "", "Value": "" }, "Uploads": [ { "Filename": "DEPS_PB-47_PB27.docx", "ByteArray": "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" } ] } ] } }, { "Metadata": { "SourceSystem": "EAS", "ServiceAgencyAcronym": "CNSP", "ServiceAgencyName": "Drug Interdiction and Counter-Drug Activities, Defense", "BudgetYear": "2026", "BudgetCycle": "PB", "SubmissionDate": "April 2026", "AppropriationNumber": "0105D" }, "GeneratedOutput": { "Name": "PB-44 Exhibits", "Type": "Book Section", "Description": "PB-44 Exhibits", "Children": [ { "Metadata": { "SourceSystem": "EAS", "ServiceAgencyAcronym": "CNSP", "ServiceAgencyName": "Drug Interdiction and Counter-Drug Activities, Defense", "BudgetYear": "2026", "BudgetCycle": "PB", "SubmissionDate": "April 2026", "AppropriationNumber": "0105D" }, "GeneratedOutput": { "Name": "PB-44", "Type": "Exhibit", "Description": "Authorities", "Code": "PB44", "Children": [ { "Name": "uploadToggle", "Description": "", "Type": "Toggle", "ToggleOrder": "text", "Text": { "Enccoding": "HTML", "Value": "PB-44 Authorities
A. 10 U.S.C. §124: Detection and Monitoring of Aerial and Maritime Transit of Illegal Drugs: Department of Defense to be Lead Agency
B. 10 U.S.C. §284: Military Support for Civilian Law Enforcement Agencies
C. 10 U.S.C. §978: Drug and Alcohol Abuse and Dependency: Testing of New Entrants
D. 32 U.S.C. §112: Drug Interdiction and Counter-drug Activities
E. 5 U.S.C. §7301: Presidential Regulations
F. §1021, 2005 National Defense Authorization Act, as amended
G. §1022, 2004 National Defense Authorization Act, as amended
H. Executive Order 12333
I. Presidential Documents
" }, "Uploads": [] } ] } }, { "Metadata": { "SourceSystem": "EAS", "ServiceAgencyAcronym": "CNSP", "ServiceAgencyName": "Drug Interdiction and Counter-Drug Activities, Defense", "BudgetYear": "2026", "BudgetCycle": "PB", "SubmissionDate": "April 2026", "AppropriationNumber": "0105D" }, "GeneratedOutput": { "Name": "PB-44 A", "Type": "Exhibit", "Description": "10 U.S.C. §124: Detection and Monitoring of Aerial and Maritime Transit of Illegal Drugs: Department of Defense to be Lead Agency", "Code": "PB44A", "Children": [ { "Name": "uploadToggle", "Description": "", "Type": "Toggle", "ToggleOrder": "upload", "Text": { "Enccoding": "", "Value": "" }, "Uploads": [ { "Filename": "DEPS_PB-44A_PB26.docx", "ByteArray": "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" } ] } ] } }, { "Metadata": { "SourceSystem": "EAS", "ServiceAgencyAcronym": "CNSP", "ServiceAgencyName": "Drug Interdiction and Counter-Drug Activities, Defense", "BudgetYear": "2026", "BudgetCycle": "PB", "SubmissionDate": "April 2026", "AppropriationNumber": "0105D" }, "GeneratedOutput": { "Name": "PB-44 B", "Type": "Exhibit", "Description": "10 U.S.C. §284: Military Support for Civilian Law Enforcement Agencies", "Code": "PB44B", "Children": [ { "Name": "uploadToggle", "Description": "", "Type": "Toggle", "ToggleOrder": "upload", "Text": { "Enccoding": "", "Value": "" }, "Uploads": [ { "Filename": "DEPS_PB-44B_PB26.docx", "ByteArray": "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" } ] } ] } }, { "Metadata": { "SourceSystem": "EAS", "ServiceAgencyAcronym": "CNSP", "ServiceAgencyName": "Drug Interdiction and Counter-Drug Activities, Defense", "BudgetYear": "2026", "BudgetCycle": "PB", "SubmissionDate": "April 2026", "AppropriationNumber": "0105D" }, "GeneratedOutput": { "Name": "PB-44 C", "Type": "Exhibit", "Description": "10 U.S.C. §978: Drug and Alcohol Abuse and Dependency: Testing of New Entrants", "Code": "PB44C", "Children": [ { "Name": "uploadToggle", "Description": "", "Type": "Toggle", "ToggleOrder": "upload", "Text": { "Enccoding": "", "Value": "" }, "Uploads": [ { "Filename": "DEPS_PB-44C_PB26.docx", "ByteArray": "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" } ] } ] } }, { "Metadata": { "SourceSystem": "EAS", "ServiceAgencyAcronym": "CNSP", "ServiceAgencyName": "Drug Interdiction and Counter-Drug Activities, Defense", "BudgetYear": "2026", "BudgetCycle": "PB", "SubmissionDate": "April 2026", "AppropriationNumber": "0105D" }, "GeneratedOutput": { "Name": "PB-44 D", "Type": "Exhibit", "Description": "32 U.S.C. §112: Drug Interdiction and Counter-drug Activities", "Code": "PB44D", "Children": [ { "Name": "uploadToggle", "Description": "", "Type": "Toggle", "ToggleOrder": "upload", "Text": { "Enccoding": "", "Value": "" }, "Uploads": [ { "Filename": "DEPS_PB-44D_PB26.docx", "ByteArray": "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" } ] } ] } }, { "Metadata": { "SourceSystem": "EAS", "ServiceAgencyAcronym": "CNSP", "ServiceAgencyName": "Drug Interdiction and Counter-Drug Activities, Defense", "BudgetYear": "2026", "BudgetCycle": "PB", "SubmissionDate": "April 2026", "AppropriationNumber": "0105D" }, "GeneratedOutput": { "Name": "PB-44 E", "Type": "Exhibit", "Description": "5 U.S.C. §7301: Presidential Regulations", "Code": "PB44E", "Children": [ { "Name": "uploadToggle", "Description": "", "Type": "Toggle", "ToggleOrder": "upload", "Text": { "Enccoding": "", "Value": "" }, "Uploads": [ { "Filename": "DEPS_PB-44E_PB26.docx", "ByteArray": "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" } ] } ] } }, { "Metadata": { "SourceSystem": "EAS", "ServiceAgencyAcronym": "CNSP", "ServiceAgencyName": "Drug Interdiction and Counter-Drug Activities, Defense", "BudgetYear": "2026", "BudgetCycle": "PB", "SubmissionDate": "April 2026", "AppropriationNumber": "0105D" }, "GeneratedOutput": { "Name": "PB-44 F", "Type": "Exhibit", "Description": "§1021, 2005 National Defense Authorization Act, as amended", "Code": "PB44F", "Children": [ { "Name": "uploadToggle", "Description": "", "Type": "Toggle", "ToggleOrder": "upload", "Text": { "Enccoding": "", "Value": "" }, "Uploads": [ { "Filename": "DEPS_PB-44F_PB26.docx", "ByteArray": "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" } ] } ] } }, { "Metadata": { "SourceSystem": "EAS", "ServiceAgencyAcronym": "CNSP", "ServiceAgencyName": "Drug Interdiction and Counter-Drug Activities, Defense", "BudgetYear": "2026", "BudgetCycle": "PB", "SubmissionDate": "April 2026", "AppropriationNumber": "0105D" }, "GeneratedOutput": { "Name": "PB-44 G", "Type": "Exhibit", "Description": "§1022, 2004 National Defense Authorization Act, as amended", "Code": "PB44G", "Children": [ { "Name": "uploadToggle", "Description": "", "Type": "Toggle", "ToggleOrder": "upload", "Text": { "Enccoding": "", "Value": "" }, "Uploads": [ { "Filename": "DEPS_PB-44G_PB26.docx", "ByteArray": "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" } ] } ] } }, { "Metadata": { "SourceSystem": "EAS", "ServiceAgencyAcronym": "CNSP", "ServiceAgencyName": "Drug Interdiction and Counter-Drug Activities, Defense", "BudgetYear": "2026", "BudgetCycle": "PB", "SubmissionDate": "April 2026", "AppropriationNumber": "0105D" }, "GeneratedOutput": { "Name": "PB-44 H", "Type": "Exhibit", "Description": "Executive Order 12333", "Code": "PB44H", "Children": [ { "Name": "uploadToggle", "Description": "", "Type": "Toggle", "ToggleOrder": "upload", "Text": { "Enccoding": "", "Value": "" }, "Uploads": [ { "Filename": "DEPS_PB-44H_PBR25.docx", "ByteArray": "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" } ] } ] } }, { "Metadata": { "SourceSystem": "EAS", "ServiceAgencyAcronym": "CNSP", "ServiceAgencyName": "Drug Interdiction and Counter-Drug Activities, Defense", "BudgetYear": "2026", "BudgetCycle": "PB", "SubmissionDate": "April 2026", "AppropriationNumber": "0105D" }, "GeneratedOutput": { "Name": "PB-44 I", "Type": "Exhibit", "Description": "Presidential Documents", "Code": "PB44I", "Children": [ { "Name": "uploadToggle", "Description": "", "Type": "Toggle", "ToggleOrder": "upload", "Text": { "Enccoding": "", "Value": "" }, "Uploads": [ { "Filename": "DEPS_PB-44I_PB27.docx", "ByteArray": "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" } ] } ] } } ] } }, { "Metadata": { "SourceSystem": "EAS", "ServiceAgencyAcronym": "CNSP", "ServiceAgencyName": "Drug Interdiction and Counter-Drug Activities, Defense", "BudgetYear": "2026", "BudgetCycle": "PB", "SubmissionDate": "April 2026", "AppropriationNumber": "0105D" }, "GeneratedOutput": { "Name": "Back Cover Page", "Type": "Exhibit", "Description": "", "Code": "DEPS_BackCovePage", "Children": [ { "Name": "uploadToggle", "Description": "", "Type": "Toggle", "ToggleOrder": "upload", "Text": { "Enccoding": "", "Value": "" }, "Uploads": [ { "Filename": "DEPS_BackCoverPage_PB27.pdf", "ByteArray": "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" } ] } ] } } ] } } ] } }