Nonemployer Statistics is an annual series that provides statistics on U.S. businesses with no paid employees or payroll, are subject to federal income taxes, and have receipts of $1,000 or more ($1 or more for the Construction sector). This program is authorized by the United States Code, Titles 13 and 26. Also, the collection provides data for approximately 450 North American Industry Classification System (NAICS) industries at the national, state, county, metropolitan statistical area, and combined statistical area geography levels. The majority of NAICS industries are included with some exceptions as follows: crop and animal production; investment funds, trusts, and other financial vehicles; management of companies and enterprises; and public administration. Data are also presented by Legal Form of Organization (LFO) (U.S. and state only) as filed with the Internal Revenue Service (IRS). Most nonemployers are self-employed individuals operating unincorporated businesses (known as sole proprietorships), which may or may not be the owner's principal source of income. Nonemployers Statistics features nonemployers in several arts-related industries and occupations, including the following: Arts, entertainment, and recreation (NAICS Code 71) Performing arts companies Spectator sports Promoters of performing arts, sports, and similar events Independent artists, writers, and performers Museums, historical sites, and similar institutions Amusement parks and arcades Professional, scientific, and technical services (NAICS Code 54) Architectural services Landscape architectural services Photographic services Retail trade (NAICS Code 44-45) Sporting goods, hobby, and musical instrument stores Sewing, needlework, and piece goods stores Book stores Art dealers Nonemployer Statistics data originate from statistical information obtained through business income tax records that the Internal Revenue Service (IRS) provides to the Census Bureau. The data are processed through various automated and analytical review to eliminate employers from the tabulation, correct and complete data items, remove anomalies, and validate geography coding and industry classification. Prior to publication, the noise infusion method is applied to protect individual businesses from disclosure. Noise infusion was first applied to Nonemployer Statistics in 2005. Prior to 2005, data were suppressed using the complementary cell suppression method. For more information on the coverage and methods used in Nonemployer Statistics, refer to NES Methodology. The majority of all business establishments in the United States are nonemployers, yet these firms average less than 4 percent of all sales and receipts nationally. Due to their small economic impact, these firms are excluded from most other Census Bureau business statistics (the primary exception being the Survey of Business Owners). The Nonemployers Statistics series is the primary resource available to study the scope and activities of nonemployers at a detailed geographic level. For complementary statistics on the firms that do have paid employees, refer to the County Business Patterns. Additional sources of data on small businesses include the Economic Census, and the Statistics of U.S. Businesses. The annual Nonemployer Statistics data are available approximately 18 months after each reference year. Data for years since 2002 are published via comma-delimited format (csv) for spreadsheet or database use, and in the American FactFinder (AFF). For help accessing the data, please refer to the Data User Guide.

China Disposable Income per Capita: Year to Date: Net Business Income data was reported at 2,070.980 RMB in Mar 2025. This records a decrease from the previous number of 6,908.000 RMB for Dec 2024. China Disposable Income per Capita: Year to Date: Net Business Income data is updated quarterly, averaging 2,804.597 RMB from Mar 2013 (Median) to Mar 2025, with 49 observations. The data reached an all-time high of 6,908.000 RMB in Dec 2024 and a record low of 968.290 RMB in Mar 2013. China Disposable Income per Capita: Year to Date: Net Business Income data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Household Survey – Table CN.HD: Income per Capita.

Small business transactions and revenue data aggregated from several credit card processors, collected by Womply and compiled by Opportunity Insights. Transactions and revenue are reported based on the ZIP code where the business is located. Data provided for CT (FIPS code 9), MA (25), NJ (34), NY (36), and RI (44). Data notes from Opportunity Insights: Seasonally adjusted change since January 2020. Data is indexed in 2019 and 2020 as the change relative to the January index period. We then seasonally adjust by dividing year-over-year, which represents the difference between the change since January observed in 2020 compared to the change since January observed since 2019. We account for differences in the dates of federal holidays between 2019 and 2020 by shifting the 2019 reference data to align the holidays before performing the year-over-year division. Small businesses are defined as those with annual revenue below the Small Business Administration’s thresholds. Thresholds vary by 6 digit NAICS code ranging from a maximum number of employees between 100 to 1500 to be considered a small business depending on the industry. County-level and metro-level data and breakdowns by High/Middle/Low income ZIP codes have been temporarily removed since the August 21st 2020 update due to revisions in the structure of the raw data we receive. We hope to add them back to the OI Economic Tracker soon. More detailed documentation on Opportunity Insights data can be found here: https://github.com/OpportunityInsights/EconomicTracker/blob/main/docs/oi_tracker_data_documentation.pdf

Graph and download economic data for Revenue from Businesses for Data Processing, Hosting, and Related Services, Establishments Subject to Federal Income Tax (BUS518TAXABL157QNSA) from Q1 2004 to Q3 2015 about information, processed, revenue, establishments, tax, federal, business, income, rate, and USA.

The median income indicates the income bracket separating the income earners into two halves of equal size.

Dataset

This dataset was created by PMR3508-2018-b0013d9fad

Contents

China Disposable Income per Capita: Cash: Net Business Income data was reported at 6,816.424 RMB in 2023. This records an increase from the previous number of 6,044.854 RMB for 2022. China Disposable Income per Capita: Cash: Net Business Income data is updated yearly, averaging 4,880.260 RMB from Dec 2013 (Median) to 2023, with 11 observations. The data reached an all-time high of 6,816.424 RMB in 2023 and a record low of 3,354.179 RMB in 2013. China Disposable Income per Capita: Cash: Net Business Income data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Household Survey – Table CN.HD: Income per Capita.

Presents income figures based on results from the Farm Business Survey. Source agency: Environment, Food and Rural Affairs Designation: National Statistics Language: English Alternative title: Farm Business Income, Net Farm Income and Cash Income This dataset has been superseded by the dataset available here: https://data.gov.uk/dataset/farm_business_income

In 2024, the median household income in the United States was 83,730 U.S. dollars. This reflected an increase from the previous year. Household income The median household income depicts the income of households, including the income of the householder and all other individuals aged 15 years or over living in the household. Income includes wages and salaries, unemployment insurance, disability payments, child support payments received, regular rental receipts, as well as any personal business, investment, or other kinds of income received routinely. The median household income in the United States varied from state to state. In 2024, Massachusetts recorded the highest median household income in the country, at 113,900 U.S. dollars. On the other hand, Mississippi, recorded the lowest, at 55,980 U.S. dollars.Household income is also used to determine the poverty rate in the United States. In 2024, 10.6 percent of the U.S. population was living below the national poverty line. This was the lowest level since 2019. Similarly, the child poverty rate, which represents people under the age of 18 living in poverty, reached a three-decade low of 14.3 percent of the children. The state with the widest gap between the rich and the poor was New York, with a Gini coefficient score of 0.52 in 2024. The Gini coefficient is calculated by looking at average income rates. A score of zero would reflect perfect income equality, while a score of one indicates complete inequality.

In 2020, there were 41,977 firms in the United States with sales amounting to less than 5,000 U.S. dollars. Comparatively, there were more than 500,000 firms in the country with sales between 50,000 and 99,999 U.S. dollars.

The net income of NTT Data Business Solutions with headquarters in Germany amounted to ***** million euros in 2022. The reported fiscal year ends on March 31.Compared to the earliest depicted value from 2020 this is a total increase by approximately ***** million euros. The trend from 2020 to 2022 shows ,furthermore, that this increase happened continuously.

The Income Distributions and Dynamics in America project seeks to foster new research and analysis on income disparities by providing statistics on income percentiles, shares, growth rates, persistence, and more for many U.S. demographic groups at national and state levels.

files included 1. Percentiles of income module 2. Top income shares module 3. Top income population shares module 4. Income change distributions module 5. Income transition matrix module

Kondo, Illenin, Brandon Hawkins, Kevin Rinz, John Voorheis, Andrew Goodman-Bacon, Natalie Gubbay, and Abigail Wozniak. (2023). Income Distributions and Dynamics in America: Version 1.0 [Dataset]. Minneapolis, MN: Federal Reserve Bank of Minneapolis. https://doi.org/10.21034/data.idda

Graph and download economic data for Revenue from Businesses for Data Processing, Hosting, and Related Services, Establishments Subject to Federal Income Tax (BUS518TAXABL144QNSA) from Q4 2003 to Q3 2017 about information, processed, revenue, establishments, tax, federal, business, income, and USA.

China Disposable Income per Capita: YoY: Year to Date: Urban: Net Business Income data was reported at 6.561 % in Mar 2025. This records an increase from the previous number of 5.800 % for Dec 2024. China Disposable Income per Capita: YoY: Year to Date: Urban: Net Business Income data is updated quarterly, averaging 7.300 % from Mar 2014 (Median) to Mar 2025, with 45 observations. The data reached an all-time high of 25.300 % in Mar 2021 and a record low of -12.600 % in Mar 2020. China Disposable Income per Capita: YoY: Year to Date: Urban: Net Business Income data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Household Survey – Table CN.HD: Income per Capita.

Dataset

This dataset was created by Colt Bauman

Contents

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OECD Revenue Statistics: Comparative Tables Introduction

The OECD Revenue Statistics database provides detailed and internationally comparable data on the taxes and social contributions paid by businesses and individuals in OECD countries. The data is collected annually from national governments and covers a wide range of taxes, including personal income tax, corporate income tax, social security contributions, and value-added tax.

Data

The database is divided into two main parts:

Part 1: Revenue by Level of Government This part of the database provides data on the total revenue collected by each level of government (central, state, and local) in each OECD country. The data is broken down by type of tax and by source of revenue (e.g., taxes on income, profits, and capital gains; taxes on goods and services; social security contributions).

Part 2: Revenue by Tax Type This part of the database provides data on the revenue collected from each type of tax in each OECD country. The data is broken down by level of government and by source of revenue.

Uses

The OECD Revenue Statistics database can be used for a variety of purposes, including:

Cross-country comparisons of tax levels and structures The database can be used to compare the tax levels and structures of different OECD countries. This information can be used by policymakers to assess the effectiveness of their tax systems and to identify potential areas for reform.

Analysis of the impact of tax policies The database can be used to analyze the impact of tax policies on economic growth, income distribution, and other outcomes. This information can be used by policymakers to design tax policies that are more effective and efficient.

Research on tax policy The database can be used by researchers to study the effects of tax policy on a variety of economic outcomes. This research can help to inform the design of tax policy and to improve our understanding of the economic effects of taxation.

Conclusion

The OECD Revenue Statistics database is a valuable resource for policymakers, researchers, and anyone interested in the taxation of businesses and individuals in OECD countries. The database provides detailed and internationally comparable data on a wide range of taxes, making it an essential tool for understanding the tax systems of OECD countries.

Data Access

The OECD Revenue Statistics database is available online to subscribers. Subscribers can access the data through the OECD's website.

Key Statistics on Business Performance and Operating Characteristics of the Financing and Insurance, Professional and Business Services Sectors - Table 645-75012 : Principal Statistics for All Domestic Banking Units by Business Receipts and Other Income