This is a dataset containing 900,000 records with around 21 attributes each. This data is anonymized and labeled, including trained, validated, and non-validated datasets.

Given a dataset ( D ) with: - ( D_{\text{train}} ): Training data matrix ( R(m \times n) ) - ( D_{\text{test}} ): Test data matrix ( R(m1 \times n) ) - ( Y_{\text{train}} ): Target variable matrix ( R(m \times 1) ) - ( Y_{\text{test}} ): Target variable matrix ( R(m1 \times 1) )

The goal is to build a predictive model ( F_{\theta}(X) \rightarrow Y_{\text{pred}} ) that accurately predicts ( Y_i ) for new inputs ( X_i ).

This dataset contains data from California resident tax returns filed with California adjusted gross income and self-assessed tax listed by zip code. This dataset contains data for taxable years 1992 to the most recent tax year available.

This dataset contains data from California resident tax returns filed with California adjusted gross income and self-assessed tax listed by zip code. This dataset contains data for taxable years 1992 to the most recent tax year available.

Graph and download economic data for U.S Individual Income Tax: Tax Rates for Regular Tax: Lowest Bracket (IITTRLB) from 1913 to 2018 about individual, tax, income, rate, and USA.

Selected annual aggregate balance sheet and income statement items representing incorporated enterprises operating in Canada, by the North American Industry Classification System (NAICS), presented in millions of dollars or percentages unless otherwise specified.

Information on the industry distribution of PAYE (Pay As You Earn) tax deducted from pay by tax year. Previously listed under 'Revenue-based Taxes and Benefits: Income tax statistics and distributions'. Source agency: HM Revenue and Customs Designation: National Statistics Language: English Alternative title: Income Tax Deducted from Pay Statistics

Total tax income statistics by type of income and level of income reporting form - Chiayi City Unit: number of cases

In total, about 60.4 percent of U.S. households paid income tax in 2025. The remaining 39.6 percent of households paid no individual income tax. In that same year, about 56.9 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 Individual Income Tax Filing: Total Income Tax (TLINCTXA) from 1999 to 2016 about individual, tax, income, and USA.

Beginning with tax year 2015, the Department of Taxation and Finance (hereafter “the Department”) began producing a new annual population data study file to provide more comprehensive statistical information on New York State personal income tax returns. The data are from full‐year resident, nonresident, and part‐year resident returns filed between January 1 and December 31 of the year after the start of the liability period (hereafter referred to as the “processing year”). The four datasets display major income tax components by tax year. This includes the distribution of New York adjusted gross income and tax liability by county or place of residence, as well as the value of deductions, exemptions, taxable income and tax before credits by size of income. In addition, three of the four datasets include all the components of income, the components of deductions, and the addition/subtraction modifications. Caution: The current datasets are based on population data. For tax years prior to 2015, data were based on sample data. Data customers are advised to use caution when drawing conclusions comparing data for tax years prior to 2015 and subsequent tax years. Further details are included in the Overview.

The dataset contains year- and state-wise total direct (income) tax collected in India

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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.

Total income tax amount and tax rate statistics table for separate taxation of the total income of the taxpayer and the spouse at each county and city. Unit: Amount (thousand yuan)

All tax returns filed and processed through the internet, and the number and amount of taxpaying and refundable households at various income levels filed electronically. Unit: Amount (in thousand dollars)

Tax statistics are compiled on the basis of personal tax returns at the place of residence. The income year is the year for which taxes are due.Total taxable net income consists of all net professional income, net real estate income, net movable income and miscellaneous net income.

To measure the dispersal of income distribution, tax returns are classified in ascending order of income and divided into 4 equal parts separated by 3 quartiles (Q1:25 % of the returns have income less than Q1, Q2 = median income: 50 % of returns have income less than Q2, Q3= 75 % of returns have income less than Q3). Tax returns with zero taxable income are not included in the calculations. The indicator reports the difference between the 3 rd and 1st quartile to the median: (Q3-Q1)/Q2.The higher the interquartile coefficient, the higher the degree of income inequality. As it refers to the median value, it makes it possible to compare the dispersion of series with very different median values. The income year is the year for which taxes are due. Total taxable net income consists of all net professional income, net real estate income, net movable income and miscellaneous net income.

To measure the dispersal of income distribution, tax returns are classified in ascending order of income and divided into 4 equal parts separated by 3 quartiles (Q1: 25 % of the returns have income less than Q1, Q2 = median income: 50 % of returns have income less than Q2, Q3= 75 % of returns have income less than Q3). Tax returns with zero taxable income are not included in the calculations.

The indicator reports the difference between the 3 rd and 1st quartile to the median: (Q3-Q1)/Q2. The higher the interquartile coefficient, the higher the degree of income inequality. As it refers to the median value, it makes it possible to compare the dispersion of series with very different median values.

Brochure Theme: S3 - Statistical data - Society Under Theme: S321.A1 - Income Tax Statistics (A)

View yearly updates and historical trends for US Income Tax Reported in Tax Returns. Source: US Internal Revenue Service. Track economic data with YCharts…

Individual Tax Statistics by Area data present personal income tax data based on geographic area. The statistics are compiled by province and territory, as well as for all of Canada. The tables provide income and taxation statistics by specific geographic area, tax status classification, total income class, source of income class, and sex. The Individual Tax Statistics by Area publication for the 2016 tax year is comprised of four tables compiled from the Income Tax and Benefit Returns processed for the 2016 tax year. The dollar amount fields contain the most recent tax year assessment or reassessment information of all 2016 tax returns assessed up to June 30, 2018. Individual Tax Statistics by Area data are also published on the Canada Revenue Agency (CRA) website. Please consult the CRA website for an explanation of changes that have been incorporated to these tables.

Brochure Theme: S3 - Statistical data - Society Agricultural Statistics 1969 No 12 S321.A2 - Income Tax Statistics (B)