The dataset contains year-, taxpayer-type-, and income-range-wise total salary income and the number of returns filed among direct (income) taxpayers and individuals. The range of income covered in the dataset include rupees zero to 500 crores and above.

Note: 1. Salary Income is the income under the head “Salaries” as computed in the return of income

The Personal Income Tax Rate in Sweden stands at 52 percent. This dataset provides - Sweden Personal Income Tax Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Individuals; Tax filers and dependants with income by total income, income taxes paid and after-tax income, sex and age groups (final T1 Family File; T1FF).

Main tables from the Effects of taxes and benefits on household income publication from 1977, including average incomes, taxes and benefits and household characteristics of all, retired and non-retired households in the UK by quintile and decile groups.

The Corporate Tax Rate in the United States stands at 21 percent. This dataset provides - United States Corporate Tax Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

The dataset comprises of state-wise data on the number of persons who filed Income Tax returns as well as the state-wise data on the number of persons whose Income Tax returns amount to zero tax liability.

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 Personal Income Tax Rate in the United States stands at 37 percent. This dataset provides - United States Personal Income Tax Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

The Department of Taxation and Finance annually produces a data (study) file and provides a report of statistical information on New York State personal income tax returns that were timely filed. Timely filing means that the tax return was delivered to the Department on or before the due date of the tax return. The data are from full-year resident, full-year nonresident, and part-year resident returns. This dataset defines individuals filing a resident tax return as full-year residents and individuals filing a nonresident tax return are defined as either a full- year nonresident or a part-year resident.Data presented in this dataset provide the major income tax structure components by size of income. The components include income, deductions, dependent exemptions, and tax liability. The data also provides this information by size of income and by the filer’s permanent place of residence (county, state or country). For a more detailed explanation on the determination of residency and components of income see the attachment: NYSTF_PlaceOfResidence_Introduction.Researchers agree to: Use the data for statistical reporting an analysis only. The author will include a disclaimer that states any analyses, interpretations or conclusions were reached by the author and not the New York State Department of Taxation and Finance.

This table provides census family taxation statistics, including effective tax and transfer rates, the total amount of taxes paid and government transfers received, and the proportion of Canadian census families that pay tax or receive government transfers.

The dataset contains year-, taxpayer-type-, and income-range-wise total income from other sources and the number of returns filed among different types of direct (income) taxpayers such as Firm Hindu Undivided Family (HUF), Association of Persons (AOP) and Body of Individuals (BOI), Companies, Individuals, etc. The range of income covered in the dataset include rupees zero to 500 crores and above.

Note: Other Sources Income is the income under the head “Income from Other Sources” as computed in the return of income.

Taxation statistics: an overview of the income and tax status of Australian individuals, companies, partnerships, trusts and funds for 2020-21.

For more info see: https://www.ato.gov.au/About-ATO/Research-and-statistics/In-detail/Taxation-statistics/Taxation-statistics-2020-21/

This table presents income shares, thresholds, tax shares, and total counts of individual Canadian tax filers, with a focus on high income individuals (95% income threshold, 99% threshold, etc.). Income thresholds are based on national threshold values, regardless of selected geography; for example, the number of Nova Scotians in the top 1% will be calculated as the number of taxfiling Nova Scotians whose total income exceeded the 99% national income threshold. Different definitions of income are available in the table namely market, total, and after-tax income, both with and without capital gains.

The Personal Income Tax Rate in Denmark stands at 55.90 percent. This dataset provides - Denmark Personal Income Tax Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

The Department of Taxation and Finance annually produces a data (study) file and provides a report of statistical information on New York State personal income tax returns that were timely filed. Timely filing means that the tax return was delivered to the Department on or before the due date of the tax return. The data are from full-year resident, full-year nonresident, and part-year resident returns. This dataset defines individuals filing a resident tax return as full-year residents and individuals filing a nonresident tax return are defined as either a full- year nonresident or a part-year resident.Data presented in this dataset provide the major income tax structure components by size of income. The components include income, deductions, dependent exemptions, and tax liability. The data also provides this information by size of income and by the filer’s permanent place of residence (county, state or country). For a more detailed explanation on the determination of residency and components of income see the attachment: NYSTF_PlaceOfResidence_Introduction.Researchers agree to: Use the data for statistical reporting an analysis only. The author will include a disclaimer that states any analyses, interpretations or conclusions were reached by the author and not the New York State Department of Taxation and Finance.

The Personal Income Tax Rate in Finland stands at 57.65 percent. This dataset provides - Finland Personal Income Tax Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

The Department of Taxation and Finance annually produces a data (study) file and provides a report of statistical information on New York State personal income tax returns that were timely filed. Timely filing means that the tax return was delivered to the Department on or before the due date of the tax return. The data are from full-year resident, full-year nonresident, and part-year resident returns. This dataset defines individuals filing a resident tax return as full-year residents and individuals filing a nonresident tax return are defined as either a full- year nonresident or a part-year resident.Data presented in this dataset provide the major income tax structure components by size of income. The components include income, deductions, dependent exemptions, and tax liability. The data also provides this information by size of income and by the filer’s permanent place of residence (county, state or country). For a more detailed explanation on the determination of residency and components of income see the attachment: NYSTF_PlaceOfResidence_Introduction.Researchers agree to: Use the data for statistical reporting an analysis only. The author will include a disclaimer that states any analyses, interpretations or conclusions were reached by the author and not the New York State Department of Taxation and Finance.

Abstract copyright UK Data Service and data collection copyright owner. This analysis, produced by the Office for National Statistics (ONS), examines how taxes and benefits redistribute income between various groups of households in the United Kingdom. It shows where different types of households and individuals are in the income distribution and looks at the changing levels of income inequality over time. The main sources of data for this study are: Family Expenditure Survey (FES) from 1977-2001Expenditure and Food Survey (EFS) from 2001-2007Living Costs and Food Survey (LCF) from 2008 to 2017Household Finances Survey (HFS) from 2018 onwards Some variables have been created by combining data from the LCF (previously FES or EFS) with control totals from a variety of different government sources, including: United Kingdom National Accounts (ONS Blue Book)HM Revenue and Customs (HMRC)Department for Transport (DfT)Department of Health (DH)Department for Education and Employment (DfEE)Department for Communities and Local Government (DCLG) For further information, see the ONS Effects of taxes and benefits on household income webpage.Users should note that this combined ETB household (1977-2021) and person (2018-2021) datasets replace all previous individual year files, which have been withdrawn from use at the depositor's request. Latest edition informationFor the second edition (September 2022), revised data for 2019/20 and new cases for 2020/21 were added to the household and person files. Method of Data Collection The ETB has been produced each year since 1961 and is an annual analysis looking at how taxes and benefits affect the income of households in the UK. Since 2018, the estimates in this analysis are based on data derived from the HFS Survey (the HCF is not currently held by the UK Data Service). The HFS is an annual survey of the expenditure and income of private households. People living in hotels, lodging houses, and in institutions such as old people's homes are excluded. Each person aged 16 and over keeps a full record of payments made during 14 consecutive days and answers questions about hire purchase and other payments; children aged 7 to 15 keep a simplified diary. The respondents also give detailed information, where appropriate, about income (including cash benefits received from the state) and payments of Income Tax. Information on age, occupation, education received, family composition and housing tenure is also obtained. The survey is continuous, interviews being spread evenly over the year to ensure that seasonal effects are covered. The Family Spending publication also includes an outline of the survey design. The HFS data used in this analysis are grossed so that totals reflect the total population of private households in the UK. The weights are produced in two stages. First, the data are weighted to compensate for non-response (sample-based weighting). The non-response weights are then calibrated so that weighted totals match population totals for males and females in different age groups and for different regions and countries (population-based weighting). The results in the analysis are weighted so that statistics represent the total population in private households in the UK based on 2011 Census data. In 2013/14, an additional calibration to the Labour Force Survey (LFS) employment totals was also applied. There are a number of different measures of income used, the most common of which is probably household disposable income. This is the total income households receive from employment (including self-employment), income from private pensions, investments and other sources, plus cash benefits (including the state pension), minus direct taxes (including income tax, NI and council tax). Income is normally analysed at the household level as this provides a better measure of people's economic well-being; while income is usually received by individuals, it is normally shared with other household members (e.g. spouse/partner and children). In 2018/19 a further adjustment was applied to the data to adjust for the under coverage and under-reporting of income of the richest individuals. This method is often referred to as the 'SPI adjustment' owing to its use of HM Revenue and Customs (HMRC's) Survey of Personal Incomes (SPI). For further details please see the ETB Quality and Methodology Information webpage and the Effects of Taxes and Benefits on Household Income Technical Report. Data Sources The Household Finances Survey (HFS) is the source of the microdata on households from 2018 onwards. Previously, the Living Costs and Food Survey (LCF) was the data source. Derived variables are created using information from HFS and control totals from a variety of different government sources including the United Kingdom National Accounts (ONS Blue Book), HM Revenue and Customs, Department for Transport, Department of Health, Department for Education and Employment, and Department for Communities and Local Government. Secure Access version A Secure Access version of the ETB is available from the UK Data Archive under SN 8253, subject to stringent access conditions. The Secure Access version includes variables that are not included in the standard End User Licence (EUL) version, including case number, age and economic position of chief economic supporter, and government office region. Users are strongly advised to check whether the EUL version is sufficient for their needs before considering an application for the Secure Access version. Main Topics: The analysis considers the distribution of household income using five income measures in order to assess the effect of government intervention. The five income measures are: original income: includes income from employment, self-employment, investment income, occupational pensions and annuitiesgross income: original income plus cash benefitsdisposable income: gross income minus direct taxes (income tax, employees' National Insurance contributions and local taxes)post-tax income: disposable income minus indirect taxesfinal income: post-tax income plus benefits in kind (from education, the national health system, travel and housing subsidies). Standard measures: Historically, the equivalence scale used in this analysis was the McClements scale (before housing costs are deducted). To allow for better comparability with other sources, this analysis adopted the modified-OECD scale for the 2009/10 article. The modified-OECD scale usually assigns a weight of 1.0 for the first adult in a household, 0.5 for each additional adult and a weight of 0.3 for each child (defined as those under 14 years old). However, in this analysis the modified-OECD scale has been rescaled so that a two adult household equivalence value is 1.0. This makes it easier to compare with data that uses the McClements equivalence scale without making any difference to the overall results. The values for each household member are added together to give the total equivalence number for that household. This number is then used to divide disposable income for that household to give equivalised disposable income.

This dataset contains the number of personal income taxpayers in India by tax slabs.

This table provides individual taxation statistics, including effective tax and transfer rates, the total amount of taxes paid and government transfers received, and the proportion of Canadian taxfilers that pay tax or receive government transfers.