This data is pulled from the U.S. Census website. This data is for years Calendar Years 2009-2014. Product: SAHIE File Layout Overview Small Area Health Insurance Estimates Program - SAHIE Filenames: SAHIE Text and SAHIE CSV files 2009 – 2014 Source: Small Area Health Insurance Estimates Program, U.S. Census Bureau. Internet Release Date: May 2016 Description: Model‐based Small Area Health Insurance Estimates (SAHIE) for Counties and States File Layout and Definitions

The Small Area Health Insurance Estimates (SAHIE) program was created to develop model-based estimates of health insurance coverage for counties and states. This program builds on the work of the Small Area Income and Poverty Estimates (SAIPE) program. SAHIE is only source of single-year health insurance coverage estimates for all U.S. counties.

For 2008-2014, SAHIE publishes STATE and COUNTY estimates of population with and without health insurance coverage, along with measures of uncertainty, for the full cross-classification of: •5 age categories: 0-64, 18-64, 21-64, 40-64, and 50-64

•3 sex categories: both sexes, male, and female

•6 income categories: all incomes, as well as income-to-poverty ratio (IPR) categories 0-138%, 0-200%, 0-250%, 0-400%, and 138-400% of the poverty threshold

•4 races/ethnicities (for states only): all races/ethnicities, White not Hispanic, Black not Hispanic, and Hispanic (any race).

In addition, estimates for age category 0-18 by the income categories listed above are published.

Each year’s estimates are adjusted so that, before rounding, the county estimates sum to their respective state totals and for key demographics the state estimates sum to the national ACS numbers insured and uninsured.

This program is partially funded by the Centers for Disease Control and Prevention's (CDC), National Breast and Cervical Cancer Early Detection ProgramLink to a non-federal Web site (NBCCEDP). The CDC have a congressional mandate to provide screening services for breast and cervical cancer to low-income, uninsured, and underserved women through the NBCCEDP. Most state NBCCEDP programs define low-income as 200 or 250 percent of the poverty threshold. Also included are IPR categories relevant to the Affordable Care Act (ACA). In 2014, the ACA will help families gain access to health care by allowing Medicaid to cover families with incomes less than or equal to 138 percent of the poverty line. Families with incomes above the level needed to qualify for Medicaid, but less than or equal to 400 percent of the poverty line can receive tax credits that will help them pay for health coverage in the new health insurance exchanges.

We welcome your feedback as we continue to research and improve our estimation methods. The SAHIE program's age model methodology and estimates have undergone internal U.S. Census Bureau review as well as external review. See the SAHIE Methodological Review page for more details and a summary of the comments and our response.

The SAHIE program models health insurance coverage by combining survey data from several sources, including: •The American Community Survey (ACS) •Demographic population estimates •Aggregated federal tax returns •Participation records for the Supplemental Nutrition Assistance Program (SNAP), formerly known as the Food Stamp program •County Business Patterns •Medicaid •Children's Health Insurance Program (CHIP) participation records •Census 2010

Margin of error (MOE). Some ACS products provide an MOE instead of confidence intervals. An MOE is the difference between an estimate and its upper or lower confidence bounds. Confidence bounds can be created by adding the margin of error to the estimate (for the upper bound) and subtracting the margin of error from the estimate (for the lower bound). All published ACS margins of error are based on a 90-percent confidence level.

Transportation Analysis Zones for the eleven County metrolina region. Based on 2000 Census TAZ zones, with modifications. This data is used to store population and employment data for trip generation and traffic assignment for the regional travel demand model.

In total, about 59.9 percent of U.S. households paid income tax in 2022. The remaining 40.1 percent of households paid no individual income tax. In that same year, about 47.1 percent of U.S. households with an income between 40,000 and 50,000 U.S. dollars paid no individual income taxes.

Graph and download economic data for Income After Taxes: Income After Taxes by Region: Residence in the Northeast Census Region (CXUINCAFTTXLB1102M) from 1984 to 2023 about Northeast Census Region, tax, residents, income, and USA.

The IRS Statistics of Income Division (SOI), in collaboration with the U.S. Census Bureau, has released migration data for the United States for several decades. These data are an important source of information detailing the movement of individuals from one location to another. SOI bases these data on year-to-year address changes reported on individual income tax returns filed with the IRS. They present migration patterns by State or by county for the entire United States and are available for inflows—the number of new residents who moved to a State or county and where they migrated from, and outflows—the number of residents leaving a State or county and where they went. The data are available for Filing Years 1991 through 2016 and include:

• Number of returns filed, which approximates the number of households that migrated
• Number of personal exemptions claimed, which approximates the number of individuals
• Total adjusted gross income, starting with Filing Year 1995
• Aggregate migration flows at the State level, by the size of adjusted gross income (AGI) and age of the primary taxpayer, starting with Filing Year 2011.

This annual study provides selected income and tax items classified by State, ZIP Code, and the size of adjusted gross income. These data include the number of returns, which approximates the number of households; the number of personal exemptions, which approximates the population; adjusted gross income; wages and salaries; dividends before exclusion; and interest received. Data are based who reported on U.S. Individual Income Tax Returns (Forms 1040) filed with the IRS. SOI collects these data as part of its Individual Income Tax Return (Form 1040) Statistics program, Data by Geographic Areas, ZIP Code Data.

The Metropolitan Planning Organizations (MPO) uses a travel demand model called the Triangle Regional Model (TRM). All the socioeconomic input data (e.g., population and employment) is done by a zone called the Traffic Analysis Zone (TAZ). Durham County, for example, is divided into 510 TAZs and the socioeconomic data for each of those TAZs in input into the model.

2010 The 2010 population data is based on the 2010 US Census. The 2010 employment data is estimated based on a methodology in which local planning staff collect employment location and numbers for their planning areas.

2040 County-level population forecast data from the N.C. Office of State Management and Budget is input into a land use model, called Community Visualization, that distributes that county-level forecast to the various TAZs in each county based on the relative attractiveness of land parcels for development. County-level employment forecasts for the year 2040 are based on county-level growth forecasts from Woods-and-Poole Economics, that are then distributed to the TAZs by Community Visualization. Last updated on 08/29/2014.

The data in this file include for each county the number of Federal income tax returns filed and the number of exemptions claimed. Within each category, data are provided on the number of tax filers that migrated into the county, the number that migrated out of the county, and the number for which migration status was unknown. The total number of returns filed is also provided.

Graph and download economic data for Income Before Taxes: Income Before Taxes by Region: Residence in the Northeast Census Region (CXUINCBEFTXLB1102M) from 1984 to 2023 about Northeast Census Region, tax, residents, income, and USA.

Migration data for the United States are based on year-to-year address changes reported on individual income tax returns filed with the IRS. They present migration patterns by State or by county for the entire United States and are available for inflows—the number of new residents who moved to a State or county and where they migrated from, and outflows—the number of residents leaving a State or county and where they went. The data are available for Filing Years 1991 through 2016 and include:

• Number of returns filed, which approximates the number of households that migrated
• Number of personal exemptions claimed, which approximates the number of individuals
• Total adjusted gross income, starting with Filing Year 1995
• Aggregate migration flows at the State level, by the size of adjusted gross income (AGI) and age of the primary taxpayer, starting with Filing Year 2011.

This annual study provides migration pattern data for the United States by State or by county and are available for inflows (the number of new residents who moved to a State or county and where they migrated from) and outflows (the number of residents who left a State or county and where they moved to). The data include the number of returns filed, number of personal exemptions claimed, total adjusted gross income, and aggregate migration flows at the State level, by the size of adjusted gross income (AGI) and by age of the primary taxpayer. Data are collected and based on year-to-year address changes reported on U.S. Individual Income Tax Returns (Form 1040) filed with the IRS. SOI collects these data as part of its Individual Income Tax Return (Form 1040) Statistics program, Data by Geographic Areas, U.S. Population Migration Data.

Content

More details about each file are in the individual file descriptions.

Context

This is a dataset from the U.S. Census Bureau hosted by the Federal Reserve Economic Database (FRED). FRED has a data platform found here and they update their information according the amount of data that is brought in. Explore the U.S. Census Bureau using Kaggle and all of the data sources available through the U.S. Census Bureau organization page!

• Update Frequency: This dataset is updated daily.

Acknowledgements

This dataset is maintained using FRED's API and Kaggle's API.

Cover photo by Simon Mumenthaler on Unsplash
Unsplash Images are distributed under a unique Unsplash License.

Key Table Information.Table Title.State Tax Collections by Category: U.S. and States 2016 - 2024.Table ID.GOVSTIMESERIES.GS00TC02.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.2025-05-01.Release Schedule.The Annual Survey of State Tax Collections occurs every year. Data are typically released in April. There are approximately 10 months between the reference period and data release. Revisions to published data occur annually going back two fiscal years..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.Taxes collected for state governments in the United States by category: Property Tax, Sales and Gross Receipts Taxes, License Taxes, Income Taxes, and Other Taxes.Definitions 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 of government entities with responsibility for providing education services: (1) school districts that are administratively a...

Graph and download economic data for Income After Taxes: Income After Taxes by Region: Residence in the West Census Region (CXUINCAFTTXLB1105M) from 1984 to 2023 about West Census Region, tax, residents, income, and USA.

This scatter chart displays female population (people) against tax revenue (% of GDP) in the United States. The data is filtered where the date is 2021. The data is about countries per year.

This scatter chart displays population (people) against tax revenue (% of GDP) in the United States. The data is filtered where the date is 2021. The data is about countries per year.

This scatter chart displays population (people) against tax revenue (% of GDP) in South America. The data is about countries per year.

This dataset is about countries per year in the United States. It has 1 row and is filtered where the date is 2021. It features 4 columns: country, tax revenue, and population.

This scatter chart displays urban population (people) against tax revenue (% of GDP) in South America. The data is about countries per year.

This app shows the inbound and outbound flow of population to and from every state in the U.S., between 2015 and 2016. This is based on tax returns filed through the IRS. Click on any state to see information about population flows. The brightest, thickest lines have the most population moving along that flow line. The circles indicate the total population inbound or outbound. The chart is sorted by distance to the state, and lets you instantly compare the inflow and outflow of population between 2015 and 2016. The visualization was created from the Distributive Flow Lines tool to depict the flow of population in different directions throughout the country. To see your state or other states, click here. The data comes from the Internal Revenue Service (IRS) migration data based on tax stats. According to the U.S. Population Migration Data: Strengths and Limitations, if a state had less than 3 tax returns from another state, the value is suppressed. This is stated within the pop-up for these cases.