Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
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This table contains 280 series, with data for years 1997 - 2009 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (14 items: Canada; Newfoundland and Labrador; Prince Edward Island; Nova Scotia; ...); Household spending, personal taxes (5 items: Personal taxes (net of refunds); Income tax on reference year income; Income tax on income received before reference year; Other personal taxes (for example, gift tax); ...); Statistics (4 items: Average expenditure; Percent of households reporting; Estimated number of households reporting; Median expenditure per household reporting).
Income Tax liabilities are estimated at the individual level using data from the Survey of Personal Incomes (SPI) on Income Tax payer incomes and circumstances.
Liabilities are amounts of tax due on incomes arising in a given tax year, whereas receipts show amounts paid and collected in a given year. Statistics on Income Tax liabilities will not match those for receipts due to lags in the payment of Income Tax, particularly via Self Assessment, among other reasons.
The tables in this section provide breakdowns of the number of Income Tax payers and Income Tax liabilities by age, sex, country and Government Office Region, marginal Income Tax rate, income source, and tax band.
If you require statistics about how much Income Tax is actually paid and collected by HMRC in any given tax year, or information on how the tax has been collected, please see our statistics on Income Tax receipts.
The nature of how Income Tax is collected means it is not possible to analyse Income Tax receipts by individual characteristics, such as an individual’s marginal tax rate, age, or sex. However, these analyses are possible through modelling Income Tax liabilities based on a representative sample of individuals from administrative data.
HMRC also produce detailed statistics on personal incomes.
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Graph and download economic data for Personal Taxes: Federal Income Taxes by Number of Earners: Consumer Units of Two or More People, No Earners (CXUFEDTAXESLB0704M) from 1984 to 2023 about tax, federal, personal, consumer, income, persons, and USA.
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
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This table contains 2808 series, with data for years 2012 - 2012 (not all combinations necessarily have data for all years), and is no longer being released. This table contains data described by the following dimensions (Not all combinations are available): Geography (13 items: Canada; Atlantic provinces; Newfoundland and Labrador; Prince Edward Island; ...); Income concept (12 items: Average market income; Median market income; Average government transfers; Median government transfers; ...); Economic family type (18 items: All family units; Economic families, two persons or more; Elderly families; Elderly married couples; ...).
Income Tax liabilities are estimated at the individual level using data from the Survey of Personal Incomes (SPI) on Income Tax payer incomes and circumstances.
Liabilities are amounts of tax due on incomes arising in a given tax year, whereas receipts show amounts paid and collected in a given year. Statistics on Income Tax liabilities will not match those for receipts due to lags in the payment of Income Tax, particularly via Self Assessment, among other reasons.
The tables in this section provide breakdowns of the number of Income Tax payers and Income Tax liabilities by age, sex, country and Government Office Region, marginal Income Tax rate, income source, and tax band.
If you require statistics about how much Income Tax is actually paid and collected by HMRC in any given tax year, or information on how the tax has been collected, please see our statistics on Income Tax receipts.
The nature of how Income Tax is collected means it is not possible to analyse Income Tax receipts by individual characteristics, such as an individual’s marginal tax rate, age, or sex. However, these analyses are possible through modelling Income Tax liabilities based on a representative sample of individuals from administrative data.
HMRC also produce detailed statistics on personal incomes.
https://www.icpsr.umich.edu/web/ICPSR/studies/7477/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/7477/terms
This survey was undertaken to assess consumer sentiment and buying plans. Open-ended questions were asked concerning evaluations and expectations about personal finances, employment, recession, price changes, and the national business situation. Variables probe respondents' buying intentions for a house, automobiles, appliances, and other consumer durables, and the respondents' appraisals of present market conditions for purchasing houses and other durables. Additional variables probe respondents' opinions of small foreign cars as compared to small American cars, air pollution, gasoline prices, government spending, especially welfare payments, tax increases, income tax filing and returns, their spending plans for income tax refunds, taxes owed, and respondents' financial status relative to the previous year. Information is also provided on respondents' car ownership and the make and use of it. Demographic variables provide information on respondents' age, sex, race, marital status, education, employment status, occupation, and family income.
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Germany IES: AMHI: Income Tax, Church Tax, Solidarity Surcharge data was reported at 580.000 EUR in 2018. This records an increase from the previous number of 458.000 EUR for 2013. Germany IES: AMHI: Income Tax, Church Tax, Solidarity Surcharge data is updated yearly, averaging 416.000 EUR from Dec 1998 (Median) to 2018, with 5 observations. The data reached an all-time high of 580.000 EUR in 2018 and a record low of 355.000 EUR in 1998. Germany IES: AMHI: Income Tax, Church Tax, Solidarity Surcharge data remains active status in CEIC and is reported by Statistisches Bundesamt. The data is categorized under Global Database’s Germany – Table DE.H025: Household Income and Expenditure Survey.
Contacts with authorities from the view of the citizens, exemplified by the tax office.
Topics: Type and frequency of contacts with the tax office; distance to this government office; difficulties with filling out forms for the income tax return; self-assessment of status of knowledge on tax questions; preferred source of information on tax questions; objections filed against decisions of the tax office and success of these objections; assessment of tax equity; general satisfaction with decisions as well as duration of processing by authorities; assessment of the tax office in comparison with other authorities; judgement on the financial administration and the tax officials (scale); evaluation of personal contact with the tax official in comparison to mail contacts; assessment of ability to influence tax officials and of the dependence relation of the citizen with the tax office; personal ability to act regarding employees of the tax office; knowledge about the organizational situation and responsibilities in the financial administration; attitude to the government and the administration (scale).
Demography: age (classified); sex; religious denomination; religiousness; school education; occupation; occupational group; income; employment of members of household; composition of household.
Interviewer rating: city; start and end of interview.
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Graph and download economic data for Personal Taxes: Federal Income Taxes by Income Before Taxes: $100,000 and over (CXUFEDTAXESLB0214M) from 2003 to 2015 about tax, federal, personal, income, and USA.
The statistic shows the result of a survey carried out in January 2017, among 849 Americans who were asked the following question: 'Have you ever not filed your taxes?'.
91 percent of the total respondents said that they had always filed their taxes on time.
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Graph and download economic data for Personal Taxes: Federal Income Taxes by Deciles of Income Before Taxes: Ninth 10 Percent (81st to 90th Percentile) (CXUFEDTAXESLB1510M) from 2014 to 2023 about percentile, tax, federal, personal, income, and USA.
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United States CES: 25 to 34Yrs: Personal Taxes: Federal Income Taxes data was reported at 5,876.000 USD in 2017. This records an increase from the previous number of 5,692.000 USD for 2016. United States CES: 25 to 34Yrs: Personal Taxes: Federal Income Taxes data is updated yearly, averaging 2,080.000 USD from Dec 1984 (Median) to 2017, with 34 observations. The data reached an all-time high of 5,876.000 USD in 2017 and a record low of 521.000 USD in 2010. United States CES: 25 to 34Yrs: Personal Taxes: Federal Income Taxes data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.H043: Consumer Expenditure Survey: By Age Group.
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United States CES: $5 to 9.999 Th: Personal Taxes: State & Local Income Taxes data was reported at -73.000 USD in 2015. This records a decrease from the previous number of -67.000 USD for 2014. United States CES: $5 to 9.999 Th: Personal Taxes: State & Local Income Taxes data is updated yearly, averaging 13.000 USD from Dec 1984 (Median) to 2015, with 32 observations. The data reached an all-time high of 69.000 USD in 2000 and a record low of -73.000 USD in 2015. United States CES: $5 to 9.999 Th: Personal Taxes: State & Local Income Taxes data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.H041: Consumer Expenditure Survey: By Income Level.
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Graph and download economic data for Personal Taxes: Federal Income Taxes by Number of Earners: Consumer Units of Two or More People, One Earner (CXUFEDTAXESLB0705M) from 1984 to 2022 about tax, federal, personal, consumer, income, persons, and USA.
Abstract copyright UK Data Service and data collection copyright owner.The Survey of Personal Incomes (SPI) is based on information held by HM Revenue and Customs tax offices on individuals who could be liable to UK income tax. It is carried out annually by HMRC and covers income assessable to tax for each tax year. Not all of them are taxpayers because the operation of personal reliefs and allowances may remove them from liability. Where income exceeds the threshold for operation of Pay-As-You-Earn (PAYE), the survey provides the most comprehensive and accurate official source of data on personal incomes. The SPI is compiled to provide a quantified evidence base from which to cost proposed changes to tax rates, personal allowances and other tax reliefs for Treasury Ministers. It is used to inform policy decisions within HMRC and the Treasury, as well as for tax modelling and forecasting purposes. In addition, it is used to provide summary information for the National Accounts that are prepared by the Office for National Statistics. Finally, it is used to provide information to Members of Parliament, other Government Departments, companies, organisation and individuals. The UK Data Archive currently holds the Public Use Tape (PUT) data for 1985-86 and 1995-96 onwards (data for 2008-09 is currently unavailable). For further details of sampling and coverage criteria, see documentation. Further information about the SPI, including income tax and personal incomes statistics, is available on the GOV.UK Statistics about personal incomes webpage. Main Topics:The Public Use Tape (PUT) dataset is an anonymised dataset and is based on the SPI. It allows users to produce their own analysis. The dataset contains a range of variables about personal incomes arising from employment, self employment, pension, benefits, property, savings, investments and other income sources. The dataset also contains variables about allowances, deductions and reliefs, which people might be due. There is also a regional code variable on the dataset and a trade code for cases which are self-employed. A list of data items on the Public Use Tape is provided in Annex A of the documentation. Separate samples are drawn from each of the HMRC operational computer systems and different sampling strategies are used for each. Once data has been collected for the three constituent parts of the sample, the datasets are joined together. Transcription of existing materials The data were captured electronically from an extract of HM Revenue and Customs information technology (IT) systems. HMRC collects information about people who could be liable to UK tax to assess whether they have paid the correct amount of tax. The SPI is based on a sample of these administrative records. The tax districts collect the data in the course of the administrative process of tax collection.
Abstract copyright UK Data Service and data collection copyright owner.The Survey of Personal Incomes (SPI) is based on information held by HM Revenue and Customs tax offices on individuals who could be liable to UK income tax. It is carried out annually by HMRC and covers income assessable to tax for each tax year. Not all of them are taxpayers because the operation of personal reliefs and allowances may remove them from liability. Where income exceeds the threshold for operation of Pay-As-You-Earn (PAYE), the survey provides the most comprehensive and accurate official source of data on personal incomes. The SPI is compiled to provide a quantified evidence base from which to cost proposed changes to tax rates, personal allowances and other tax reliefs for Treasury Ministers. It is used to inform policy decisions within HMRC and the Treasury, as well as for tax modelling and forecasting purposes. In addition, it is used to provide summary information for the National Accounts that are prepared by the Office for National Statistics. Finally, it is used to provide information to Members of Parliament, other Government Departments, companies, organisation and individuals. The UK Data Archive currently holds the Public Use Tape (PUT) data for 1985-86 and 1995-96 onwards (data for 2008-09 is currently unavailable). For further details of sampling and coverage criteria, see documentation. Further information about the SPI, including income tax and personal incomes statistics, is available on the GOV.UK Statistics about personal incomes webpage. Main Topics:The Public Use Tape (PUT) dataset is an anonymised dataset and is based on the SPI. It allows users to produce their own analysis. The dataset contains a range of variables about personal incomes arising from employment, self employment, pension, benefits, property, savings, investments and other income sources. The dataset also contains variables about allowances, deductions and reliefs, which people might be due. There is also a regional code variable on the dataset and a trade code for cases which are self-employed. A list of data items on the Public Use Tape is provided in Annex A of the documentation. Separate samples are drawn from each of the HMRC operational computer systems and different sampling strategies are used for each. Once data has been collected for the three constituent parts of the sample, the datasets are joined together. Compilation or synthesis of existing material The data were captured electronically from an extract of HM Revenue and Customs information technology (IT) systems. HMRC collects information about people who could be liable to UK tax to assess whether they have paid the correct amount of tax. The SPI is based on a sample of these administrative records. The tax districts collect the data in the course of the administrative process of tax collection.
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This survey focuses on many different political and social concerns including most important issues for the government to address, rating of President Clinton and his economic plan, suicide and euthanasia, health care and health care reform, increase in taxes, who should be covered first, income tax, Academy awards, and superstitions.
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United States CES: $15 to 29.999 Th: Personal Taxes: Federal Income Taxes data was reported at -520.000 USD in 2023. This records an increase from the previous number of -2,112.000 USD for 2022. United States CES: $15 to 29.999 Th: Personal Taxes: Federal Income Taxes data is updated yearly, averaging -804.000 USD from Dec 2015 (Median) to 2023, with 9 observations. The data reached an all-time high of -520.000 USD in 2023 and a record low of -2,112.000 USD in 2022. United States CES: $15 to 29.999 Th: Personal Taxes: Federal Income Taxes data remains active status in CEIC and is reported by U.S. Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.H074: Consumer Expenditure Survey: by Income Level.
Abstract copyright UK Data Service and data collection copyright owner.The Survey of Personal Incomes (SPI) is based on information held by HM Revenue and Customs tax offices on individuals who could be liable to UK income tax. It is carried out annually by HMRC and covers income assessable to tax for each tax year. Not all of them are taxpayers because the operation of personal reliefs and allowances may remove them from liability. Where income exceeds the threshold for operation of Pay-As-You-Earn (PAYE), the survey provides the most comprehensive and accurate official source of data on personal incomes. The SPI is compiled to provide a quantified evidence base from which to cost proposed changes to tax rates, personal allowances and other tax reliefs for Treasury Ministers. It is used to inform policy decisions within HMRC and the Treasury, as well as for tax modelling and forecasting purposes. In addition, it is used to provide summary information for the National Accounts that are prepared by the Office for National Statistics. Finally, it is used to provide information to Members of Parliament, other Government Departments, companies, organisation and individuals. The UK Data Archive currently holds the Public Use Tape (PUT) data for 1985-86 and 1995-96 onwards (data for 2008-09 is currently unavailable). For further details of sampling and coverage criteria, see documentation. Further information about the SPI, including income tax and personal incomes statistics, is available on the GOV.UK Statistics about personal incomes webpage. Main Topics:The Public Use Tape (PUT) dataset is an anonymised dataset and is based on the SPI. It allows users to produce their own analysis. The dataset contains a range of variables about personal incomes arising from employment, self employment, pension, benefits, property, savings, investments and other income sources. The dataset also contains variables about allowances, deductions and reliefs, which people might be due. There is also a regional code variable on the dataset and a trade code for cases which are self-employed. A list of data items on the Public Use Tape is provided in Annex A of the documentation. Separate samples are drawn from each of the HMRC operational computer systems and different sampling strategies are used for each. Once data has been collected for the three constituent parts of the sample, the datasets are joined together. Compilation or synthesis of existing material The data were captured electronically from an extract of HM Revenue and Customs information technology (IT) systems. HMRC collects information about people who could be liable to UK tax to assess whether they have paid the correct amount of tax. The SPI is based on a sample of these administrative records. The tax districts collect the data in the course of the administrative process of tax collection.
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
License information was derived automatically
This table contains 280 series, with data for years 1997 - 2009 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (14 items: Canada; Newfoundland and Labrador; Prince Edward Island; Nova Scotia; ...); Household spending, personal taxes (5 items: Personal taxes (net of refunds); Income tax on reference year income; Income tax on income received before reference year; Other personal taxes (for example, gift tax); ...); Statistics (4 items: Average expenditure; Percent of households reporting; Estimated number of households reporting; Median expenditure per household reporting).