Government spending in the United States was last recorded at 34.4 percent of GDP in 2023 . This dataset provides - United States Government Spending To Gdp- actual values, historical data, forecast, chart, statistics, economic calendar and news.

Graph and download economic data for Federal Government: Current Expenditures (FGEXPND) from Q1 1947 to Q4 2024 about expenditures, federal, government, GDP, and USA.

This summary table shows, for Budget Receipts, the total amount of activity for the current month, the current fiscal year-to-date, the comparable prior period year-to-date and the budgeted amount estimated for the current fiscal year for various types of receipts (i.e. individual income tax, corporate income tax, etc.). The Budget Outlays section of the table shows the total amount of activity for the current month, the current fiscal year-to-date, the comparable prior period year-to-date and the budgeted amount estimated for the current fiscal year for functions of the federal government. The table also shows the amounts for the budget/surplus deficit categorized as listed above. This table includes total and subtotal rows that should be excluded when aggregating data. Some rows represent elements of the dataset's hierarchy, but are not assigned values. The classification_id for each of these elements can be used as the parent_id for underlying data elements to calculate their implied values. Subtotal rows are available to access this same information.

Government Spending in China increased to 208113.40 CNY Hundred Million in 2023 from 193360 CNY Hundred Million in 2022. This dataset provides - China Government Spending - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Government Spending in Mexico increased to 2838581.14 MXN Million in the fourth quarter of 2024 from 2784668.85 MXN Million in the third quarter of 2024. This dataset provides - Mexico Government Spending - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Government Spending in Japan increased to 119943.10 JPY Billion in the fourth quarter of 2024 from 119604.80 JPY Billion in the third quarter of 2024. This dataset provides - Japan Government Spending - actual values, historical data, forecast, chart, statistics, economic calendar and news.

This table shows the total receipts and outlays and the resulting surplus or deficit (shown on the table as excess) for the current month and the current fiscal year-to-date for all federal trust funds. The table also shows the totals for securities held as investments by the federal trust funds for the beginning of the fiscal year and the beginning and ending of the current accounting month. A trust fund is a type of account, designated by law, for receipts or offsetting receipts dedicated to specific purposes and the expenditure of these receipts. This table includes total and subtotal rows that should be excluded when aggregating data. Some rows represent elements of the dataset's hierarchy, but are not assigned values. The classification_id for each of these elements can be used as the parent_id for underlying data elements to calculate their implied values. Subtotal rows are available to access this same information.

This dataset contains expense agency data by unit of appropriation for the Adopted, Financial Plan and Modified conditions by object code. The numbers within can be summarized to be consistent with data from either the Supporting Schedule, Departmental Estimate or the Expense, Revenue, Contact Budget. This dataset is updated three times per year after publication of the Preliminary, Executive and Adopted Budget, usually in January, April and June respectively.

All major capital infrastructure projects with a committed budget and spend by fiscal year. Financial information and agency schedule details for each project are joined via FMS ID. Only projects in the design phase or later have project schedules displayed. This dataset is part of the Capital Projects Dashboard. Note: Each row is uniquely identified by its Financial Management Service (FMS) ID. FMS ID is the unique ID that OMB uses for the FMS (Financial Information System). This ID can be universally joined with any OMB dataset that has the same field. The Capital Projects Dashboard is the result of joining OMB’s fiscal data with the agency’s schedule data. FMS IDs and agency projects don't always have a one-to-one relationship (ie. one project schedule may correlate to multiple FMS IDs, and one FMS may correct to multiple projects with different schedules).

This table is a subsidiary table for Means of Financing the Deficit or Disposition of Surplus by the U.S. Government providing a detailed view of all direct and guaranteed loan financing for federal credit programs under the Credit Reform Act of 1990. Guaranteed loan financing is issuing any debt obligation with a guarantee, insurance, or other pledge that payment of all or a part of the principal or interest will be made to the lender. This table applies to lending to non-federal borrowers by non-federal lenders that carries some form of guarantee by the federal government. Exceptions include the insurance of deposits, shares, or other withdrawable accounts in financial institutions. This table includes total and subtotal rows that should be excluded when aggregating data. Some rows represent elements of the dataset's hierarchy, but are not assigned values. The classification_id for each of these elements can be used as the parent_id for underlying data elements to calculate their implied values. Subtotal rows are available to access this same information.

Progress Needed on Identifying Expenditures, Building and Utilizing a Data Infrastructure, and Reducing Duplicative Efforts The federal government collects, maintains, and uses geospatial information—data linked to specific geographic locations—to help support varied missions, including national security and natural resources conservation. To coordinate geospatial activities, in 1994 the President issued an executive order to develop a National Spatial Data Infrastructure—a framework for coordination that includes standards, data themes, and a clearinghouse. GAO was asked to review federal and state coordination of geospatial data. GAO’s objectives were to (1) describe the geospatial data that selected federal agencies and states use and how much is spent on geospatial data; (2) assess progress in establishing the National Spatial Data Infrastructure; and (3) determine whether selected federal agencies and states invest in duplicative geospatial data. To do so, GAO identified federal and state uses of geospatial data; evaluated available cost data from 2013 to 2015; assessed FGDC’s and selected agencies’ efforts to establish the infrastructure; and analyzed federal and state datasets to identify duplication. What GAO Found Federal agencies and state governments use a variety of geospatial datasets to support their missions. For example, after Hurricane Sandy in 2012, the Federal Emergency Management Agency used geospatial data to identify 44,000 households that were damaged and inaccessible and reported that, as a result, it was able to provide expedited assistance to area residents. Federal agencies report spending billions of dollars on geospatial investments; however, the estimates are understated because agencies do not always track geospatial investments. For example, these estimates do not include billions of dollars spent on earth-observing satellites that produce volumes of geospatial data. The Federal Geographic Data Committee (FGDC) and the Office of Management and Budget (OMB) have started an initiative to have agencies identify and report annually on geospatial-related investments as part of the fiscal year 2017 budget process. FGDC and selected federal agencies have made progress in implementing their responsibilities for the National Spatial Data Infrastructure as outlined in OMB guidance; however, critical items remain incomplete. For example, the committee established a clearinghouse for records on geospatial data, but the clearinghouse lacks an effective search capability and performance monitoring. FGDC also initiated plans and activities for coordinating with state governments on the collection of geospatial data; however, state officials GAO contacted are generally not satisfied with the committee’s efforts to coordinate with them. Among other reasons, they feel that the committee is focused on a federal perspective rather than a national one, and that state recommendations are often ignored. In addition, selected agencies have made limited progress in their own strategic planning efforts and in using the clearinghouse to register their data to ensure they do not invest in duplicative data. For example, 8 of the committee’s 32 member agencies have begun to register their data on the clearinghouse, and they have registered 59 percent of the geospatial data they deemed critical. Part of the reason that agencies are not fulfilling their responsibilities is that OMB has not made it a priority to oversee these efforts. Until OMB ensures that FGDC and federal agencies fully implement their responsibilities, the vision of improving the coordination of geospatial information and reducing duplicative investments will not be fully realized. OMB guidance calls for agencies to eliminate duplication, avoid redundant expenditures, and improve the efficiency and effectiveness of the sharing and dissemination of geospatial data. However, some data are collected multiple times by federal, state, and local entities, resulting in duplication in effort and resources. A new initiative to create a national address database could potentially result in significant savings for federal, state, and local governments. However, agencies face challenges in effectively coordinating address data collection efforts, including statutory restrictions on sharing certain federal address data. Until there is effective coordination across the National Spatial Data Infrastructure, there will continue to be duplicative efforts to obtain and maintain these data at every level of government.https://www.gao.gov/assets/d15193.pdfWhat GAO Recommends GAO suggests that Congress consider assessing statutory limitations on address data to foster progress toward a national address database. GAO also recommends that OMB improve its oversight of FGDC and federal agency initiatives, and that FGDC and selected agencies fully implement initiatives. The agencies generally agreed with the recommendations and identified plans to implement them.

This dataset contains agency revenue data for Adopted, Modified and five years of Financial Plan by Revenue Class, Revenue Category and Revenue Source (Revenue Structure) or FPS Group name. The numbers within can be summarized to match pages from either the Supporting Schedule, Departmental Estimate or the Expense, Revenue, Contact Budget. This dataset is updated three times per year after publication of the Preliminary, Executive and Adopted Budget, usually in January, April and June respectively.

This table is a subsidiary table for Means of Financing the Deficit or Disposition of Surplus by the U.S. Government, providing a detailed view of transactions and account balances for agency programs that borrow from the United States Treasury or from the Federal Financing Bank. This table includes total and subtotal rows that should be excluded when aggregating data. Some rows represent elements of the dataset's hierarchy, but are not assigned values. The classification_id for each of these elements can be used as the parent_id for underlying data elements to calculate their implied values. Subtotal rows are available to access this same information.

The United States recorded a Government Debt to GDP of 122.30 percent of the country's Gross Domestic Product in 2023. This dataset provides - United States Government Debt To GDP - actual values, historical data, forecast, chart, statistics, economic calendar and news.

United States US: Military Expenditure: % of GDP data was reported at 3.149 % in 2017. This records a decrease from the previous number of 3.222 % for 2016. United States US: Military Expenditure: % of GDP data is updated yearly, averaging 4.864 % from Sep 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 9.063 % in 1967 and a record low of 2.908 % in 1999. United States US: Military Expenditure: % of GDP data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Defense and Official Development Assistance. Military expenditures data from SIPRI are derived from the NATO definition, which includes all current and capital expenditures on the armed forces, including peacekeeping forces; defense ministries and other government agencies engaged in defense projects; paramilitary forces, if these are judged to be trained and equipped for military operations; and military space activities. Such expenditures include military and civil personnel, including retirement pensions of military personnel and social services for personnel; operation and maintenance; procurement; military research and development; and military aid (in the military expenditures of the donor country). Excluded are civil defense and current expenditures for previous military activities, such as for veterans' benefits, demobilization, conversion, and destruction of weapons. This definition cannot be applied for all countries, however, since that would require much more detailed information than is available about what is included in military budgets and off-budget military expenditure items. (For example, military budgets might or might not cover civil defense, reserves and auxiliary forces, police and paramilitary forces, dual-purpose forces such as military and civilian police, military grants in kind, pensions for military personnel, and social security contributions paid by one part of government to another.); ; Stockholm International Peace Research Institute (SIPRI), Yearbook: Armaments, Disarmament and International Security.; Weighted average; Data for some countries are based on partial or uncertain data or rough estimates.

Graph and download economic data for Federal Surplus or Deficit - from 1901 to 2024 about budget, federal, and USA.

Graph and download economic data for Federal Debt: Total Public Debt (GFDEBTN) from Q1 1966 to Q4 2024 about public, debt, federal, government, and USA.

Detailed tables showing the budget history of the U.S. Department of Education from FY 1980 to the FY 2018 President's Budget, by major program, and showing State allocations by State and by program from FY 1980-2017.

This dataset contains capital appropriation data by project type, budget line and source of funds. Amounts are in whole dollars. Data is created three times per year for the Preliminary Budget, Executive Budget and Adopted Budget to match appropriation numbers in the Capital Budget publication.

Supplemental Nutrition Assistance Program (SNAP) is the new name for the federal Food Stamp Program. This data set contains participation and cost data for SNAP. The data is furthered divided by annual, state, and monthly levels categorized by persons participating, households participating, benefits provided, average monthly benefits per person and average monthly benefits per household.