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.

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.

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

Government Spending in Germany increased to 208.83 EUR Billion in the fourth quarter of 2024 from 207.97 EUR Billion in the third quarter of 2024. This dataset provides - Germany Government Spending - actual values, historical data, forecast, chart, statistics, economic calendar and news.

This table contains information on the expenditure of the general government sector. The terms and definitions used are in accordance with the framework of National Accounts. National Accounts are based on the international definitions of the European System of Accounts (ESA 2010). Small temporary differences with publications of National Accounts may occur due to the fact that government finance statistics are sometimes more up to date.

Data available from: Yearly figures from 1995, quarterly figures from 1999.

Status of the figures: The figures for the period 1995-2021 are final. The quarterly figures for 2022 are provisional. The annual figures for 2022 are final. The figures for 2023 and 2024 are provisional.

Changes as of 24 December 2024: Figures on the third quarter of 2024 are available. The figures for the second quarter of 2024 have been adjusted.

When will new figures be published? Initial quarterly figures are published three months after the end of the quarter. In September the figures on the first quarter are revised, in December the figures on the second quarter are revised and in March the first three quarters are revised. Yearly figures are published for the first time three months after the end of the year concerned. Yearly figures are revised two times: 6 and 18 months after the end of the year. Please note that there is a possibility that adjustments might take place at the end of March or September, in order to provide the European Commission with the most actual figures. Revised yearly figures are published in June each year. Quarterly figures are aligned to the three revised years at the end of June. More information on the revision policy of National Accounts can be found under 'relevant articles' under paragraph 3.

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.

This dataset is made up of expenditure transactions incurred by City agencies and recorded to a “CV” or “CR” expense budget code in the City's Financial Management System (FMS). The dataset includes accounting entries such as automated accruals and journals. Dollar amounts are in actual dollars. This dataset will be refreshed four times a year and is inclusive of older datasets. To access the most current information, please refer to the most recent “Publication Date.”

Government Spending in Thailand decreased to 421982 THB Million in the fourth quarter of 2024 from 452242 THB Million in the third quarter of 2024. This dataset provides - Thailand Government Spending - actual values, historical data, forecast, chart, statistics, economic calendar and news.

This table gives an overview of government expenditure on regular education in the Netherlands since 1900. All figures presented have been calculated according to the standardised definitions of the OECD. Government expenditure on education consists of expenditure by central and local government on education institutions and education. The government finances schools, colleges and universities. It pays for research and development conducted by universities. Furthermore it provides student grants and loans, allowances for school costs, provisions for students with a disability and child care allowances to households as well as subsidies to companies and non-profit organisations. Total government expenditure is broken down into expenditure on education institutions and education on the one hand and government expenditure on student grants and loans and allowances for school costs to households on the other. If applicable these subjects are broken down into pre-primary and primary education, special needs primary education, secondary education, senior secondary vocational and adult education, higher professional education and university education. Data are available from 1900. Figures for the Second World War period are based on estimations due to a lack of source material. The table also includes the indicator government expenditure on education as a percentage of gross domestic product (GDP). This indicator is used to compare government expenditure on education internationally. The indicator is compounded on the basis of definitions of the OECD (Organisation for Economic Cooperation and Development). The indicator is also presented in the StatLine table Education; Education expenditure and CBS /OECD indicators. Figures for the First World War and Second World War period are not available for this indicator due to a lack of reliable data on GDP for these periods. The statistic on Education spending is compiled on a cash basis. This means that the education expenditure and revenues are allocated to the year in which they are paid out or received. However, the activity or transaction associated with the payment or receipt can take place in a different year. Statistics Netherlands published the revised National Accounts in June 2024. Among other things, GDP has been adjusted upwards as a result of the revision. The revision has not been extended to the years before 1995. In the indicator 'Total government expenditure as % of GDP', a break occurs between 1994 and 1995 as a result of the revision. Data available from: 1900 Status of the figures: The figures from 1995 to 2022 are final. The 2023 figures are provisional. Changes on 31 December 2024: The final figures of 2021 and 2022 and the provisional figures of 2023 have been added. As a result of the revision of the National Accounts, among other things, GDP has been adjusted upwards. The indicator ‘Total government expenditure as % of GDP’ in this table has been updated on the basis of the revised figures for the entire time series since 1995. A break occurs in the indicator between 1994 and 1995. When will new figures be published? The final figures for 2023 and the provisional figures for 2024 will be published in December 2025. More information on the revision policy of National Accounts can be found under 'relevant articles' under paragraph 3.

How much time do people spend on social media? As of 2024, the average daily social media usage of internet users worldwide amounted to 143 minutes per day, down from 151 minutes in the previous year. Currently, the country with the most time spent on social media per day is Brazil, with online users spending an average of three hours and 49 minutes on social media each day. In comparison, the daily time spent with social media in the U.S. was just two hours and 16 minutes. Global social media usageCurrently, the global social network penetration rate is 62.3 percent. Northern Europe had an 81.7 percent social media penetration rate, topping the ranking of global social media usage by region. Eastern and Middle Africa closed the ranking with 10.1 and 9.6 percent usage reach, respectively. People access social media for a variety of reasons. Users like to find funny or entertaining content and enjoy sharing photos and videos with friends, but mainly use social media to stay in touch with current events friends. Global impact of social mediaSocial media has a wide-reaching and significant impact on not only online activities but also offline behavior and life in general. During a global online user survey in February 2019, a significant share of respondents stated that social media had increased their access to information, ease of communication, and freedom of expression. On the flip side, respondents also felt that social media had worsened their personal privacy, increased a polarization in politics and heightened everyday distractions.

State, county, and municipal expenditures by spending category. Source: Local Government Finances Fiscal 2010 (Department of Legislative Services), via Overview of Maryland Local Governments Finances and Demographic Information (Department of Legislative Services, 2012. Link: http://mgaleg.maryland.gov/pubs/budgetfiscal/2012-local-government-finances-demographics.pdf)

This database summarises central government expenditures on housing in Hungary, from the official Budget Acts and Closing Accounts Acts and other sources (e.g. Hungarian Central Statistical Office).

The aim of the database was to determine how much money the government has spent on housing since 1990 and how much of this expenditure was socially targeted, i.e. how much was used to reduce housing poverty. The database organises publicly available central budget data into a machine-readable database. Thus, it is also making the government’s management of public funds more transparent.

The database was created for Habitat for Humanity Hungary’s Annual Report on Housing Poverty 2021 (Hungarian / English), updated for the 2023 report. Further methodological details are included in the 2021 annual report.

File list

• description.rtf - Detailed description of the database (in Hungarian and English).
• lakaskiadasok_values_long.csv - Values of the detailed budget expenditures. Data for each year are in the rows of the table. Budget expenditures were grouped. Data sources are also included in this table. Expenditures are presented in both current and 2023 prices.
• lakaskiadasok_values_wide.csv - Values of the detailed budget expenditures. Data for each year are in the columns of the table. Budget expenditures were grouped. Data sources are also included in this table. Expenditures are presented in both current and 2023 prices.
• lakaskiadasok_variables.csv - Description of the variables of the detailed budget expenditures, both in English and in Hungarian.
• lakastamogatasok_values.csv - Values of the database on the ‘Housing subsidies’ budget line and the data source of each cell. Expenditures are presented in both current and 2023 prices.
• lakastamogatasok_variables.csv - Description of the variables on the expenditures of the ‘Housing subsidies’ budget line, both in English and Hungarian.
• price_deflator.csv - Value of the consumer price index used for the conversion to 2023 prices (2023=100).

The dataset and its description is fully bilingual (Hungarian and English).

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.

Government Spending in Brazil increased to 660168 BRL Million in the fourth quarter of 2024 from 535101 BRL Million in the third quarter of 2024. This dataset provides - Brazil Government Spending - actual values, historical data, forecast, chart, statistics, economic calendar and news.

This dataset includes the Fiscal Year* 2013 Council-approved operating budget for Montgomery County. The dataset does not include revenues and agency budget information; each agency, such as Montgomery County Public Schools, maintain their individual budget information. The data can be sorted, filtered, and exported by the following elements: Function (grouping, such as “Public Safety”), Department, Program, Cost Center (activity within a program), Fund Type , Fund Subtype, Fund Name, Subfund Name, Personnel & Operating Expenses, Object Name, and Account Name.

*The 12-month period to which the annual operating and capital budgets and their respective appropriations apply. The Montgomery County fiscal year starts on July 1st and ends on June 30th.

Update Frequency: Annually

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.

Government Expenditure: Central: Budget Adjustment Fund data was reported at 110,037.000 RMB mn in 2024. This records a decrease from the previous number of 296,090.000 RMB mn for 2023. Government Expenditure: Central: Budget Adjustment Fund data is updated yearly, averaging 110,037.000 RMB mn from Dec 2006 (Median) to 2024, with 19 observations. The data reached an all-time high of 361,311.000 RMB mn in 2021 and a record low of 10,113.000 RMB mn in 2009. Government Expenditure: Central: Budget Adjustment Fund data remains active status in CEIC and is reported by Ministry of Finance. The data is categorized under China Premium Database’s Government and Public Finance – Table CN.FA: Government Revenue and Expenditure: Central Government.

Context

The World Bank is an international financial institution that provides loans to countries of the world for capital projects. The World Bank's stated goal is the reduction of poverty. Source: https://en.wikipedia.org/wiki/World_Bank

Content

This dataset combines key education statistics from a variety of sources to provide a look at global literacy, spending, and access.

For more information, see the World Bank website.

Fork this kernel to get started with this dataset.

Acknowledgements

https://bigquery.cloud.google.com/dataset/bigquery-public-data:world_bank_health_population

http://data.worldbank.org/data-catalog/ed-stats

https://cloud.google.com/bigquery/public-data/world-bank-education

Citation: The World Bank: Education Statistics

Dataset Source: World Bank. This dataset is publicly available for anyone to use under the following terms provided by the Dataset Source - http://www.data.gov/privacy-policy#data_policy - and is provided "AS IS" without any warranty, express or implied, from Google. Google disclaims all liability for any damages, direct or indirect, resulting from the use of the dataset.

Banner Photo by @till_indeman from Unplash.

Inspiration

Of total government spending, what percentage is spent on education?

This dataset allows you to view information about government spending. Disclosure of payments is based on the legislative requirements of CB-19-2011 which can be accessed via https://princegeorgescountymd.legistar.com/Legislation.aspx, which is an effort to provide enhanced transparency and convenient public access to this information. Certain expenditures are subject to review on a case-by-case basis to ensure that confidential or privileged material is maintained in accordance with legal requirements. As such, these expenditures may not appear on this website.

Unaudited data is updated quarterly for all payees with combined spending of $25,000 or more. When cumulative payee spending exceeds $25,000 threshold, all payments made during the Fiscal Year will be reported. Datasets, current and up to seven prior fiscal periods, will be available for your search by Fiscal Year. The following information will be displayed: Payee Name, County Agency Name, Payee Zip Code, Amount and Payment Description. Website options include: sorting, exporting data, creating graphs, and customizing your display format - among other features. There is an online tutorial.

If you have any questions or comments about this citizen portal site, please send an email at any time to: CountyClick311@co.pg.md.us, or call 3-1-1 (301-883-4748), Monday - Friday, 7am - 7pm, and a Customer Service Representative will be glad to assist you.