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.

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 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.

This dataset combines annual files from 2005 to 2017 published by the IRS. ZIP Code data show selected income and tax items classified by State, ZIP Code, and size of adjusted gross income. Data are based on individual income tax returns filed with the IRS. The data include items, such as:

Number of returns, which approximates the number of householdsNumber of personal exemptions, which approximates the populationAdjusted gross income (AGI)Wages and salariesDividends before exclusionInterest received Enrichment and notes:- the original data sheets (a column per variable, a line per year, zipcode and AGI group) have been transposed to get a record per year, zipcode, AGI group and variable- the data for Wyoming in 2006 was removed because AGI classes were not correctly defined, making the resulting data unfit for analysis.- the AGI groups have seen their definitions change: the variable "AGI Class" was used until 2008, with various intervals of AGI; "AGI Stub" replaced it in 2009. We provided the literal intervals (eg. "$50,000 under $75,000") as "AGI Group" in each case to help the analysis.- the codes for each tax item have been joined with a dataset of variables to provide full names.- some tax items are available since 2005, others since more recent years, depending on their introduction date (available in the dataset of variables); as a consequence, the time range of the plots or graphs may vary.- the unit for amounts and AGIs is a thousand dollars.

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 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.

Individuals; Tax filers by age groups and income groups (preliminary T1 Family File; T1FF).

Content

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.

Context

This is a dataset hosted by the State of New York. The state has an open data platform found here and they update their information according the amount of data that is brought in. Explore New York State using Kaggle and all of the data sources available through the State of New York organization page!

• Update Frequency: This dataset is updated annually.

Acknowledgements

This dataset is maintained using Socrata's API and Kaggle's API. Socrata has assisted countless organizations with hosting their open data and has been an integral part of the process of bringing more data to the public.

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The Personal Income Tax Rate in France stands at 45 percent. This dataset provides the latest reported value for - France Personal Income Tax Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus 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 dataset contains year-, tax-payer-type-, and income-range-wise gross total income 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.

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).

This dataset presents information on historical central government revenues for 31 countries in Europe and the Americas for the period from 1800 (or independence) to 2012. The countries included are: Argentina, Australia, Austria, Belgium, Bolivia, Brazil, Canada, Chile, Colombia, Denmark, Ecuador, Finland, France, Germany (West Germany between 1949 and 1990), Ireland, Italy, Japan, Mexico, New Zealand, Norway, Paraguay, Peru, Portugal, Spain, Sweden, Switzerland, the Netherlands, the United Kingdom, the United States, Uruguay, and Venezuela. In other words, the dataset includes all South American, North American, and Western European countries with a population of more than one million, plus Australia, New Zealand, Japan, and Mexico. The dataset contains information on the public finances of central governments. To make such information comparable cross-nationally we have chosen to normalize nominal revenue figures in two ways: (i) as a share of the total budget, and (ii) as a share of total gross domestic product. The total tax revenue of the central state is disaggregated guided by the Government Finance Statistics Manual 2001 of the International Monetary Fund (IMF) which provides a classification of types of revenue, and describes in detail the contents of each classification category. Given the paucity of detailed historical data and the needs of our project, we combined some subcategories. First, we are interested in total tax revenue (centaxtot), as well as the shares of total revenue coming from direct (centaxdirectsh) and indirect (centaxindirectsh) taxes. Further, we measure two sub-categories of direct taxation, namely taxes on property (centaxpropertysh) and income (centaxincomesh). For indirect taxes, we separate excises (centaxexcisesh), consumption (centaxconssh), and customs(centaxcustomssh). For a more detailed description of the dataset and the coding process, see the codebook available in the .zip-file.

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.

Taxes are grouped into six major categories: property, general sales, personal income, business income, real estate-related, and other. We also separate non-exported and exported taxes, that is, taxes levied on New York City resident households and businesses and taxes levied on nonresidents. Taxes in the former category enter into the calculation of New York City tax effort. The latter category includes sales and other taxes on hotel occupancy, city income taxes paid by commuters into the city, and portions of state and MTA auto rental taxes remitted in the city. We could not, however, estimate and net out non-hotel sales and other taxes paid by visitors to the city. Nor could we account, as we did in our previous report, for any New York City tax imports, that is, taxes of other, non-overlapping jurisdictions paid by city residents.1 For brief descriptions of the tables and figures along with methodological notes please see the Tax Effort Background and Methodology document.

1) Data Introduction • The TaxTruth: Tax Perception Dataset from India Dataset is an original collection of information from 250 Indian citizens, including their monthly income, taxes paid, occupation type, government benefits, GST usage behavior, billionaire taxation awareness, presence of surrounding billionaires, and emotional response to the tax system.

2) Data Utilization (1) TaxTruth: Tax Perception Dataset from India Dataset has characteristics that: • The dataset includes numerical data (monthly income, tax payments), categorical data (occupation, government benefits, use of GST, etc.), and emotional and cognitive responses such as "feel exploited by the tax system." • It is designed to analyze citizens' tax perceptions and emotional responses together as well as economic indicators. (2) TaxTruth: Tax Perception Dataset from India Dataset can be used to: • Public Policy Analysis: The direction of policy improvement can be derived by analyzing the correlation between citizens' emotional response to the tax system, the actual tax burden, and whether they

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/

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.

Beginning with tax year ("TY") 2021, this data asset will be the new home for the "Individual Income Tax Reports" which were previously uploaded to the Department of Revenue Services ("DRS") page of the state website. Connecticut imposes a tax on income earned by resident individuals, trusts, and estates. Nonresidents and part-year resident individuals, trusts, and estates are also subject to the tax on income derived from or connected with sources within the State.

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