Government Revenues in the United States decreased to 371229 USD Million in May from 850169 USD Million in April of 2025. This dataset provides - United States Government Revenues- actual values, historical data, forecast, chart, statistics, economic calendar and news.

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 agencies 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 the United States was last recorded at 39.7 percent of GDP in 2024 . This dataset provides - United States Government Spending To Gdp- actual values, historical data, forecast, chart, statistics, economic calendar and news.

United States Federal Government Receipts data was reported at 367.635 USD bn in Mar 2025. This records an increase from the previous number of 296.424 USD bn for Feb 2025. United States Federal Government Receipts data is updated monthly, averaging 110.938 USD bn from Dec 1967 (Median) to Mar 2025, with 688 observations. The data reached an all-time high of 863.644 USD bn in Apr 2022 and a record low of 10.725 USD bn in Oct 1968. United States Federal Government Receipts data remains active status in CEIC and is reported by Bureau of the Fiscal Service. The data is categorized under Global Database’s United States – Table US.F005: Federal Government Receipts and Outlays. For the months of Jan-1793 to Mar-2005, the source has made backdated adjustments on Federal Government Receipts (id: 40862801). Thus, Individual Income Taxes Receipts (id: 40863101), Corporation Income Taxes Receipts (id: 40863201), Social Insurance & Retirement Receipts (id: 40863301), Excise Taxes Receipts (id: 40863701), Estate and Gift Taxes Receipts (id: 40863801), Customs Duties Receipts (id: 40863901) and Miscellaneous Receipts (id: 40864001) may not add up to Federal Government Receipts (id: 40862801). [COVID-19-IMPACT]

The United States recorded a government budget deficit of 316004 USD Million in May of 2025. This dataset provides - United States Government Budget Value - actual values, historical data, forecast, chart, statistics, economic calendar and news.

This table contains 63 series, with data for years 1947 - 2009 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 item: United States); Components (63 items: Total federal government current receipts; Federal personal current taxes; Federal government income tax receipts; Federal government estate and gift taxes receipts; ...).

United States Federal Govt Receipts: Individual Income Taxes: as % of GDP data was reported at 8.100 % in 2023. This records a decrease from the previous number of 10.400 % for 2022. United States Federal Govt Receipts: Individual Income Taxes: as % of GDP data is updated yearly, averaging 7.700 % from Sep 1934 (Median) to 2023, with 90 observations. The data reached an all-time high of 10.400 % in 2022 and a record low of 0.700 % in 1935. United States Federal Govt Receipts: Individual Income Taxes: as % of GDP data remains active status in CEIC and is reported by Office of Management and Budget. The data is categorized under Global Database’s United States – Table US.F006: Federal Government Receipts and Outlays: Annual.

CBO Projection: Revenues: Individual Income Taxes: % of GDP data was reported at 8.651 % in 2018. This records an increase from the previous number of 8.230 % for 2017. CBO Projection: Revenues: Individual Income Taxes: % of GDP data is updated yearly, averaging 8.544 % from Sep 2015 (Median) to 2018, with 4 observations. The data reached an all-time high of 8.651 % in 2018 and a record low of 8.230 % in 2017. CBO Projection: Revenues: Individual Income Taxes: % of GDP data remains active status in CEIC and is reported by Congressional Budget Office. The data is categorized under Global Database’s USA – Table US.F003: Federal Government Receipts & Outlays: Projection: Congressional Budget Office.

This table shows the gross outlays, applicable receipts and net outlays for the current month, current fiscal year-to-date and prior fiscal year-to-date by various agency programs accounted for in the budget of the federal government. 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 124.30 percent of the country's Gross Domestic Product in 2024. This dataset provides - United States Government Debt To GDP - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Motivation

In the United States, city governments provide many services: they run public school districts, administer certain welfare and health programs, build roads and manage airports, provide police and fire protection, inspect buildings, and often run water and utility systems. Cities also get revenues through certain local taxes, various fees and permit costs, sale of property, and through the fees they charge for the utilities they run.

It would be interesting to compare all these expenses and revenues across cities and over time, but also quite difficult. Cities share many of these service responsibilities with other government agencies: in one particular city, some roads may be maintained by the state government, some law enforcement provided by the county sheriff, some schools run by independent school districts with their own tax revenue, and some utilities run by special independent utility districts. These governmental structures vary greatly by state and by individual city. It would be hard to make a fair comparison without taking into account all these differences.

This dataset takes into account all those differences. The Lincoln Institute of Land Policy produces what they call “Fiscally Standardized Cities” (FiSCs), aggregating all services provided to city residents regardless of how they may be divided up by different government agencies and jurisdictions. Using this, we can study city expenses and revenues, and how the proportions of different costs vary over time.

Data

The dataset tracks over 200 American cities between 1977 and 2020. Each row represents one city for one year. Revenue and expenditures are broken down into more than 120 categories.

Values are available for FiSCs and also for the entities that make it up: the city, the county, independent school districts, and any special districts, such as utility districts. There are hence five versions of each variable, with suffixes indicating the entity. For example, taxes gives the FiSC’s tax revenue, while taxes_city, taxes_cnty, taxes_schl, and taxes_spec break it down for the city, county, school districts, and special districts.

The values are organized hierarchically. For example, taxes is the sum of tax_property (property taxes), tax_sales_general (sales taxes), tax_income (income tax), and tax_other (other taxes). And tax_income is itself the sum of tax_income_indiv (individual income tax) and tax_income_corp (corporate income tax) subcategories.

Variable Description

• year Year for these values
• city_name Name of the city, such as “AK: Anchorage”, where “AK” is the standard two-letter abbreviation for Alaska
• city_population Estimated city population, based on Census data
• county_name Name of the county the city is in
• county_population Estimated county population, based on Census data
• cpi Consumer Price Index for this year, scaled so that 2020 is 1.
• relationship_city_school Type of school district. 1: City-wide independent school district that serves the entire city. 2: County-wide independent school district that serves the entire county. 3: One or more independent school districts whose boundaries extend beyond the city. 4: School district run by or dependent on the city. 5: School district run by or dependent on the county.
• enrollment Estimated number of public school students living in the city.
• districts_in_city Estimated number of school districts in the city.
• consolidated_govt Whether the city has a consolidated city-county government (1 = yes, 0 = no). For example, Philadelphia’s city and county government are the same entity; they are not separate governments.
• id2_city 12-digit city identifier, from the Annual Survey of State and Local Government Finances
• id2_county 12-digit county identifier
• city_types Two types: core and legacy. There are 150 core cities, “including the two largest cities in each state, plus all cities with populations of 150,000+ in 1980 and 200,000+ in 2010”. Legacy cities include “95 cities with population declines of at least 20 percent from their peak, poverty rates exceeding the national average, and a peak population of at least 50,000”. Some cities are both (denoted “core

The revenue and expenses variables are described in this detailed table. Further documentation is available on the FiSC Database website, linked in References below.

All monetary data is already adjusted for inflation, and is given in terms of 2020 US dollars per capita. The Consumer Price Index is provided for each year if you prefer to use numbers not adjusted for inflation, scaled so that 2020 is 1; simply divide each value by the CPI to get the value in that year’s nominal dollars. The total population is also provided if you want total values instead of per-capita values.

Questions

• Do some exploratory data analysis. Are there any outlying cities? Any interesting trends and rela...

This study developed a framework for quantifying the amount of risk sharing among states in the United States, and constructed data that allowed researchers to decompose the cross-sectional variance in gross state product into levels of smoothing capital markets, federal government, and credit market smoothing. The collection contains 67 Excel data files, that were grouped into 17 datasets based on the organizational ordering schematic provided by the principal investigator, including:

Dataset 1 - State Personal Income: n=1,938, 51 variables; Dataset 2 - Federal Taxes and Contributions: n=17,948, 424 variables; Dataset 3 - State Population: n=1,887, 51 variables; Dataset 4 - State and Local Personal Taxes: n=11,526, 306 variables; Dataset 5 - Interests on State and Local Funds: n=7,609, 205 variables; Dataset 6 - Transfers: n=5,814, 153 variables; Dataset 7 - Non Federal State Income: n=1,887, 51 variables; Dataset 8 - Federal Grants: n=1,938, 51 variables; Dataset 9 - Federal Transfers to Individuals: n=27,415, 766 variables; Dataset 10 - Federal Personal Taxes: n=1,938, 51 variables; Dataset 11 - State Government Expenditure: n=1,887, 51 variables; Dataset 12 - Disposable State Income: n=1,836, 51 variables; Dataset 13 - State Consumption: n=5,508, 153 variables; Dataset 14 - State and Local Transfers: n=1,836, 51 variables; Dataset 15 - Gross State Product: n=1,910, 52 variables; Dataset 16 - Retail Sales: n=3,774, 102 variables; Dataset 17 - Personal Consumption Expenditures: n=38, 2 variables;

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 federal funds and trust funds that are invested in Government Account Series (GAS) securities. Federal funds include general funds, special funds, and revolving funds (public enterprise revolving funds, intragovernmental revolving funds, and credit financing accounts). 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.

United States Federal Govt Receipts: Individual Income Taxes data was reported at 93.371 USD bn in Nov 2018. This records a decrease from the previous number of 128.866 USD bn for Oct 2018. United States Federal Govt Receipts: Individual Income Taxes data is updated monthly, averaging 38.424 USD bn from Dec 1967 (Median) to Nov 2018, with 612 observations. The data reached an all-time high of 314.327 USD bn in Apr 2018 and a record low of -1.630 USD bn in May 1975. United States Federal Govt Receipts: Individual Income Taxes data remains active status in CEIC and is reported by Bureau of the Fiscal Service. The data is categorized under Global Database’s United States – Table US.F001: Federal Government Receipts & Outlays.

Context

This dataset expands on my earlier New York City Census Data dataset. It includes data from the entire country instead of just New York City. The expanded data will allow for much more interesting analyses and will also be much more useful at supporting other data sets.

Content

The data here are taken from the DP03 and DP05 tables of the 2015 American Community Survey 5-year estimates. The full datasets and much more can be found at the American Factfinder website. Currently, I include two data files:

1. acs2015_census_tract_data.csv: Data for each census tract in the US, including DC and Puerto Rico.
2. acs2015_county_data.csv: Data for each county or county equivalent in the US, including DC and Puerto Rico.

The two files have the same structure, with just a small difference in the name of the id column. Counties are political subdivisions, and the boundaries of some have been set for centuries. Census tracts, however, are defined by the census bureau and will have a much more consistent size. A typical census tract has around 5000 or so residents.

The Census Bureau updates the estimates approximately every year. At least some of the 2016 data is already available, so I will likely update this in the near future.

Acknowledgements

The data here were collected by the US Census Bureau. As a product of the US federal government, this is not subject to copyright within the US.

Inspiration

There are many questions that we could try to answer with the data here. Can we predict things such as the state (classification) or household income (regression)? What kinds of clusters can we find in the data? What other datasets can be improved by the addition of census data?

This table shows the gross receipts, refunds and net receipts for the current month, the current fiscal year-to-date and the prior fiscal year-to-date for the various receipts of the federal government. 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.

Graph and download economic data for National Totals of State and Local Tax Revenue: Total Taxes for the United States (QTAXTOTALQTAXCAT1USNO) from Q1 1992 to Q1 2025 about state & local, revenue, tax, government, and USA.

Government Transportation Financial Statistics is no longer being updated by the Bureau of Transportation Statistics as of June 2024! It is being replaced by our new product, Transportation Public Financial Statistics (TPFS) which provides more granularity by expanding the categories of revenues and expenditures. The new dataset can be found: https://data.bts.gov/Research-and-Statistics/Transportation-Public-Financial-Statistics-TPFS-/6aiz-ybqx/about_data Further information about the TPFS can be found at: https://www.bts.gov/tpfs The government plays an important role in the U.S. transportation system, as a provider of transportation infrastructure and as an administrator and regulator of the system. The government spends a large amount of funds on building, rehabilitating, maintaining, operating, and administering the infrastructure system. Government revenue generated from several sources including user fees, taxes from transportation and non-transportation-related activities, borrowing, and grants from federal, state, and local governments primarily supports these activities. Government Transportation Financial Statistics (GTFS) provides a set of maps, charts, and tables with information on transportation-related revenue and expenditures for all levels of government, including federal, state, and local, and for all modes of transportation. Related tables can be found in National Transportation Statistics, Section 3.D - Government Finance (https://www.bts.gov/topics/national-transportation-statistics). For further information, data definitions, and methodology, see https://www.bts.gov/gtfs

Government Revenues in Brazil increased to 261265 BRL Million in December from 209218 BRL Million in November of 2024. This dataset provides - Brazil Government Revenues- actual values, historical data, forecast, chart, statistics, economic calendar and news.

Key Table Information.Table Title.Income and Apportionment of State-Administered Lottery Funds: U.S. and States: 2012 - 2023.Table ID.GOVSTIMESERIES.GS00SG02.Survey/Program.Public Sector.Year.2024.Dataset.PUB Public Sector Annual Surveys and Census of Governments.Source.U.S. Census Bureau, Public Sector.Release Date.2025-04-10.Release Schedule.The Annual Survey of State Government Finances occurs every year. Data are released every January. There are approximately 18 months between the reference period and data release. Revisions to published data occur annually going back to the previous Census of Goverments. Census of Governments years, those ending in '2' and '7' may have slightly later releases due to extended processing time..Dataset Universe.Census of Governments - Organization (CG):The universe of this file is all federal, state, and local government units in the United States. In addition to the federal government and the 50 state governments, the Census Bureau recognizes five basic types of local governments. The government types are: County, Municipal, Township, Special District, and School District. Of these five types, three are categorized as General Purpose governments: County, municipal, and township governments are readily recognized and generally present no serious problem of classification. However, legislative provisions for school district and special district governments are diverse. These two types are categorized as Special Purpose governments. Numerous single-function and multiple-function districts, authorities, commissions, boards, and other entities, which have varying degrees of autonomy, exist in the United States. The basic pattern of these entities varies widely from state to state. Moreover, various classes of local governments within a particular state also differ in their characteristics. Refer to the Individual State Descriptions report for an overview of all government entities authorized by state.The Public Use File provides a listing of all independent government units, and dependent school districts active as of fiscal year ending June 30, 2024. The Annual Surveys of Public Employment & Payroll (EP) and State and Local Government Finances (LF):The target population consists of all 50 state governments, the District of Columbia, and a sample of local governmental units (counties, cities, townships, special districts, school districts). In years ending in '2' and '7' the entire universe is canvassed. In intervening years, a sample of the target population is surveyed. Additional details on sampling are available in the survey methodology descriptions for those years.The Annual Survey of Public Pensions (PP):The target population consists of state- and locally-administered defined benefit funds and systems of all 50 state governments, the District of Columbia, and a sample of local governmental units (counties, cities, townships, special districts, school districts). In years ending in '2' and '7' the entire universe is canvassed. In intervening years, a sample of the target population is surveyed. Additional details on sampling are available in the survey methodology descriptions for those years.The Annual Surveys of State Government Finance (SG) and State Government Tax Collections (TC):The target population consists of all 50 state governments. No local governments are included. For the purpose of Census Bureau statistics, the term "state government" refers not only to the executive, legislative, and judicial branches of a given state, but it also includes agencies, institutions, commissions, and public authorities that operate separately or somewhat autonomously from the central state government but where the state government maintains administrative or fiscal control over their activities as defined by the Census Bureau. Additional details are available in the survey methodology description.The Annual Survey of School System Finances (SS):The Annual Survey of School System Finances targets all public school systems providing elementary and/or secondary education in all 50 states and the District of Columbia..Methodology.Data Items and Other Identifying Records.Detail of state-administered lottery funds:Lottery incomeLottery prizesLottery adminstrationLottery proceeds availableDefinitions can be found by clicking on the column header in the table or by accessing the Glossary.For detailed information, see Government Finance and Employment Classification Manual..Unit(s) of Observation.The basic reporting unit is the governmental unit, defined as an organized entity which in addition to having governmental character, has sufficient discretion in the management of its own affairs to distinguish it as separate from the administrative structure of any other governmental unit.The reporting units for the Annual Survey of School System Finances are public school systems that provide elementary and/or secondary education. The term "public school systems" includes two types ...