12 datasets found
  1. Tax filers and dependants with income by total income, sex and age

    • www150.statcan.gc.ca
    • open.canada.ca
    • +1more
    Updated Jul 18, 2025
    + more versions
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    Government of Canada, Statistics Canada (2025). Tax filers and dependants with income by total income, sex and age [Dataset]. http://doi.org/10.25318/1110000801-eng
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    Dataset updated
    Jul 18, 2025
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Individuals; Tax filers and dependants by total income, sex and age groups (final T1 Family File; T1FF).

  2. Summary characteristics of Canadian tax filers (preliminary T1 Family File)

    • www150.statcan.gc.ca
    • open.canada.ca
    • +1more
    Updated Apr 1, 2025
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    Government of Canada, Statistics Canada (2025). Summary characteristics of Canadian tax filers (preliminary T1 Family File) [Dataset]. http://doi.org/10.25318/1110004701-eng
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    Dataset updated
    Apr 1, 2025
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

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

  3. Global Country Information Dataset 2023

    • kaggle.com
    zip
    Updated Jul 8, 2023
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    Nidula Elgiriyewithana ⚡ (2023). Global Country Information Dataset 2023 [Dataset]. https://www.kaggle.com/datasets/nelgiriyewithana/countries-of-the-world-2023
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    zip(24063 bytes)Available download formats
    Dataset updated
    Jul 8, 2023
    Authors
    Nidula Elgiriyewithana ⚡
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Description

    This comprehensive dataset provides a wealth of information about all countries worldwide, covering a wide range of indicators and attributes. It encompasses demographic statistics, economic indicators, environmental factors, healthcare metrics, education statistics, and much more. With every country represented, this dataset offers a complete global perspective on various aspects of nations, enabling in-depth analyses and cross-country comparisons.

    DOI

    Key Features

    • Country: Name of the country.
    • Density (P/Km2): Population density measured in persons per square kilometer.
    • Abbreviation: Abbreviation or code representing the country.
    • Agricultural Land (%): Percentage of land area used for agricultural purposes.
    • Land Area (Km2): Total land area of the country in square kilometers.
    • Armed Forces Size: Size of the armed forces in the country.
    • Birth Rate: Number of births per 1,000 population per year.
    • Calling Code: International calling code for the country.
    • Capital/Major City: Name of the capital or major city.
    • CO2 Emissions: Carbon dioxide emissions in tons.
    • CPI: Consumer Price Index, a measure of inflation and purchasing power.
    • CPI Change (%): Percentage change in the Consumer Price Index compared to the previous year.
    • Currency_Code: Currency code used in the country.
    • Fertility Rate: Average number of children born to a woman during her lifetime.
    • Forested Area (%): Percentage of land area covered by forests.
    • Gasoline_Price: Price of gasoline per liter in local currency.
    • GDP: Gross Domestic Product, the total value of goods and services produced in the country.
    • Gross Primary Education Enrollment (%): Gross enrollment ratio for primary education.
    • Gross Tertiary Education Enrollment (%): Gross enrollment ratio for tertiary education.
    • Infant Mortality: Number of deaths per 1,000 live births before reaching one year of age.
    • Largest City: Name of the country's largest city.
    • Life Expectancy: Average number of years a newborn is expected to live.
    • Maternal Mortality Ratio: Number of maternal deaths per 100,000 live births.
    • Minimum Wage: Minimum wage level in local currency.
    • Official Language: Official language(s) spoken in the country.
    • Out of Pocket Health Expenditure (%): Percentage of total health expenditure paid out-of-pocket by individuals.
    • Physicians per Thousand: Number of physicians per thousand people.
    • Population: Total population of the country.
    • Population: Labor Force Participation (%): Percentage of the population that is part of the labor force.
    • Tax Revenue (%): Tax revenue as a percentage of GDP.
    • Total Tax Rate: Overall tax burden as a percentage of commercial profits.
    • Unemployment Rate: Percentage of the labor force that is unemployed.
    • Urban Population: Percentage of the population living in urban areas.
    • Latitude: Latitude coordinate of the country's location.
    • Longitude: Longitude coordinate of the country's location.

    Potential Use Cases

    • Analyze population density and land area to study spatial distribution patterns.
    • Investigate the relationship between agricultural land and food security.
    • Examine carbon dioxide emissions and their impact on climate change.
    • Explore correlations between economic indicators such as GDP and various socio-economic factors.
    • Investigate educational enrollment rates and their implications for human capital development.
    • Analyze healthcare metrics such as infant mortality and life expectancy to assess overall well-being.
    • Study labor market dynamics through indicators such as labor force participation and unemployment rates.
    • Investigate the role of taxation and its impact on economic development.
    • Explore urbanization trends and their social and environmental consequences.

    Data Source: This dataset was compiled from multiple data sources

    If this was helpful, a vote is appreciated ❤️ Thank you 🙂

  4. m

    Evolus Inc - Income-Before-Tax

    • macro-rankings.com
    csv, excel
    Updated Nov 13, 2025
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    macro-rankings (2025). Evolus Inc - Income-Before-Tax [Dataset]. https://www.macro-rankings.com/markets/stocks/eols-nasdaq/income-statement/income-before-tax
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    csv, excelAvailable download formats
    Dataset updated
    Nov 13, 2025
    Dataset authored and provided by
    macro-rankings
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    united states
    Description

    Income-Before-Tax Time Series for Evolus Inc. Evolus, Inc., a performance beauty company, delivers products in the cash-pay aesthetic market in the United States, Canada, Europe, and Australia. It offers Jeuveau, a proprietary 900 kilodalton purified botulinum toxin type A formulation for the temporary improvement in the appearance of moderate to severe glabellar lines in adults; and Evolysse, a collection of injectable hyaluronic acid gels. The company was incorporated in 2012 and is headquartered in Newport Beach, California.

  5. Average and median market, total and after-tax income of individuals by...

    • www150.statcan.gc.ca
    • open.canada.ca
    • +1more
    Updated May 1, 2025
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    Government of Canada, Statistics Canada (2025). Average and median market, total and after-tax income of individuals by selected demographic characteristics [Dataset]. http://doi.org/10.25318/1110009101-eng
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    Dataset updated
    May 1, 2025
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Average and median market, total and after-tax income of individuals by visible minority group, Indigenous group and immigration status, Canada and provinces.

  6. Households below average income: for financial years ending 1995 to 2023

    • gov.uk
    Updated Mar 27, 2025
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    Department for Work and Pensions (2025). Households below average income: for financial years ending 1995 to 2023 [Dataset]. https://www.gov.uk/government/statistics/households-below-average-income-for-financial-years-ending-1995-to-2023
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    Dataset updated
    Mar 27, 2025
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Department for Work and Pensions
    Description

    Cite this statistical release

    Add the following citation to any analysis shared or published:

    Department for Work and Pensions (DWP), released 21 March 2024, GOV.UK website, statistical release, Households below average income: for financial years ending 1995 to 2023.

    This Households Below Average Income (HBAI) report presents information on living standards in the United Kingdom year on year from financial year ending (FYE) 1995 to FYE 2023.

    It provides estimates on the number and percentage of people living in low-income households based on their household disposable income. Figures are also provided for children, pensioners, working-age adults and individuals living in a family where someone is disabled.

    Use our infographic to find out how low income is measured in HBAI.

    The statistics in this report come from the Family Resources Survey, a representative survey of 25 thousand households in the UK in FYE 2023.

    Correction to cost of living support schemes for 2022 to 2023

    In the 2022 to 2023 HBAI release, one element of the low-income benefits and tax credits Cost of Living Payment was not included, which impacted on the Family Resources based publications and therefore HBAI income estimates for this year.

    Revised 2022 to 2023 data has been included in the time series and trend tables in the 2023 to 2024 HBAI release. Stat-Xplore and the underlying dataset has also been updated to reflect the revised 2022 to 2023 data. Please use the data tables in the 2023 to 2024 HBAI release to ensure you have the revised data for 2022 to 2023.

    Data tables

    Summary data tables are available on this page, with more detailed analysis available to download as a Zip file.

    The directory of tables is a guide to the information in the data tables Zip file.

    HBAI data on Stat-Xplore

    HBAI data is available from FYE 1995 to FYE 2023 on the https://stat-xplore.dwp.gov.uk/webapi/jsf/login.xhtml">Stat-Xplore online tool. You can use Stat-Xplore to create your own HBAI analysis. Please note that data for FYE 2021 is not available on Stat-Xplore.

    HBAI information is available at an individual level, and uses the net, weekly income of their household. Breakdowns allow analysis of individual, family (benefit unit) and household characteristics of the individual.

    Read the user guide to HBAI data on Stat-Xplore.

    We are seeking feedback from users on the HBAI data in Stat-Xplore: email team.hbai@dwp.gov.uk with your comments.

  7. s

    Farm Household Income and Household Composition, England - Dataset -...

    • ckan.publishing.service.gov.uk
    Updated Dec 10, 2011
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    (2011). Farm Household Income and Household Composition, England - Dataset - data.gov.uk [Dataset]. https://ckan.publishing.service.gov.uk/dataset/farm_household_income_and_household_composition_england
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    Dataset updated
    Dec 10, 2011
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Area covered
    England
    Description

    Information on farm household income and farm household composition. Source agency: Environment, Food and Rural Affairs Designation: National Statistics Language: English Alternative title: Farm Household Income and Household Composition, England If you require the datasets in a more accessible format, please contact fbs.queries@defra.gsi.gov.uk Background and guidance on the statistics Information on farm household income and farm household composition was collected in the Farm Business Survey (FBS) for England for the first time in 2004/05. Collection of household income data is restricted to the household of the principal farmer from each farm business. For practical reasons, data is not collected for the households of any other farmers and partners. Two-thirds of farm businesses have an input only from the principal farmer’s household (see table 5). However, details of household composition are collected for the households of all farmers and partners in the business, but not employed farm workers. Data on the income of farm households is used in conjunction with other economic information for the agricultural sector (e.g. farm business income) to help inform policy decisions and to help monitor and evaluate current policies relating to agriculture in the United Kingdom by Government. It also informs wider research into the economic performance of the agricultural industry. This release gives the main results from the income and composition of farm households and the off-farm activities of the farmer and their spouse (Including common law partners) sections of the FBS. These sections include information on the household income of the principal farmer’s household, off-farm income sources for the farmer and spouse and incomes of other members of their household and the number of working age and pensionable adults and children in each of the households on the farm (the information on household composition can be found in Appendix B). This release provides the main results from the 2013/14 FBS. The results are presented together with confidence intervals. Survey content and methodology The Farm Business Survey (FBS) is an annual survey providing information on the financial position and physical and economic performance of farm businesses in England. The sample of around 1,900 farm businesses covers all regions of England and all types of farming with the data being collected by face to face interview with the farmer. Results are weighted to represent the whole population of farm businesses that have at least 25 thousand Euros of standard output as recorded in the annual June Survey of Agriculture and Horticulture. In 2013 there were just over 58 thousand farm businesses meeting this criteria. Since 2009/10 a sub-sample of around 1,000 farms in the FBS has taken part in both the additional surveys on the income and composition of farm households and the off-farm activities of the farmer and their spouse. In previous years, the sub-sample had included over 1,600 farms. As such, caution should be taken when comparing to earlier years. The farms that responded to the additional survey on household incomes and off-farm activities of the farmer and spouse had similar characteristics to those farms in the main FBS in terms of farm type and geographical location. However, there is a smaller proportion of very large farms in the additional survey than in the main FBS. Full details of the characteristic of responding farms can be found at Appendix A of the notice. For further information about the Farm Business Survey please see: https://www.gov.uk/government/organisations/department-for-environment-food-rural-affairs/series/farm-business-survey Data analysis The results from the FBS relate to farms which have a standard output of at least 25,000 Euros. Initial weights are applied to the FBS records based on the inverse sampling fraction for each design stratum (farm type by farm size). These weights are then adjusted (calibration weighting) so that they can produce unbiased estimators of a number of different target variables. Completion of the additional survey on household incomes and off-farm activities of the farmer and spouse was voluntary and a sample of around 1,000 farms was achieved. In order to take account of non-response, the results have been reweighted using a method that preserves marginal totals for populations according to farm type and farm size groups. As such, farm population totals for other classifications (e.g. regions) will not be in-line with results using the main FBS weights, nor will any results produced for variables derived from the rest of the FBS (e.g. farm business income). Accuracy and reliability of the results We show 95% confidence intervals against the results. These show the range of values that may apply to the figures. They mean that we are 95% confident that this range contains the true value. They are calculated as the standard errors (se) multiplied by 1.96 to give the 95% confidence interval. The standard errors only give an indication of the sampling error. They do not reflect any other sources of survey errors, such as non-response bias. For the Farm Business Survey, the confidence limits shown are appropriate for comparing groups within the same year only; they should not be used for comparing with previous years since they do not allow for the fact that many of the same farms will have contributed to the Farm Business Survey in both years. Availability of results This release contains headline results for each section. The full set of results can be found at: https://www.gov.uk/government/organisations/department-for-environment-food-rural-affairs/series/farm-business-survey#publications Defra statistical notices can be viewed on the on the statistics pages of the Defra website at https://www.gov.uk/government/organisations/department-for-environment-food-rural-affairs/about/statistics. This site also shows details of future publications, with pre-announced dates. Data Uses Data from the Farm Business Survey (FBS) are provided to the EU as part of the Farm Accountancy Data Network (FADN). The data have been used to help inform policy decisions (e.g. Reform of Pillar 1 and Pillar 2 of Common Agricultural Policy) and to help monitor and evaluate current policies relating to agriculture in England (and the EU). It is also widely used by the industry for benchmarking and informs wider research into the economic performance of the agricultural industry. User engagement As part of our ongoing commitment to compliance with the Code of Practice for Official Statistics http://www.statisticsauthority.gov.uk/assessment/code-of-practice/index.html, we wish to strengthen our engagement with users of these statistics and better understand the use made of them and the types of decisions that they inform. Consequently, we invite users to make themselves known, to advise us of the use they do, or might, make of these statistics, and what their wishes are in terms of engagement. Feedback on this notice and enquiries about these statistics are also welcome. Definitions Household income of the principal farmer Principal farmer’s household income has the following components: (1) The share of farm business income (FBI) (including income from farm diversification) attributable to the principal farmer and their spouse. (2) Principal farmer’s and spouse’s off farm income from employment and self-employment, investment income, pensions and social payments. (3) Income of other household members. The share of farm business income and all employment and self-employment incomes, investment income and pension income are recorded as gross of income tax payments and National Insurance contributions, but after pension contributions. In addition, no deduction is made for council tax. Household A household is defined as a single person or group of people living at the same address as their only or main residence, who either share one meal a day together or share the living accommodation. A household must contain at least one person who received drawings from the farm business or who took a share of the profit from the business. Drawings Drawings represent the monies which the farmer takes from the business for their own personal use. The percentage of total drawings going to each household is collected and is used to calculate the total share of farm business income for the principal farmer’s household. Mean Mean household income of individuals is the ”average”, found by adding up the weighted household incomes for each individual farm in the population for analysis and dividing the result by the corresponding weighted number of farms. In this report average is usually taken to refer to the mean. Percentiles These are the values which divide the population for analysis, when ranked by an output variable (e.g. household income or net worth), into 100 equal-sized groups. E.g. twenty five per cent of the population would have incomes below the 25th percentile. Median Median household income divides the population, when ranked by an output variable, into two equal sized groups. The median of the whole population is the same as the 50th percentile. The term is also used for the midpoint of the subsets of the income distribution Quartiles Quartiles are values which divide the population, when ranked by an output variable, into four equal-sized groups. The lowest quartile is the same as the 25th percentile. The divisions of a population split by quartiles are referred to as quarters in this publication. Quintiles Quintiles are values which divide the population, when ranked by an output variable, into five equal-sized groups. The divisions of a population split by quintiles are referred to as fifths in this publication. Assets Assets include milk and livestock quotas, as well as land, buildings (including the farm house), breeding livestock, and machinery and equipment. For tenanted farmers,

  8. Low income cut-offs (LICOs) before and after tax by community size and...

    • www150.statcan.gc.ca
    • ouvert.canada.ca
    • +1more
    Updated May 1, 2025
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    Government of Canada, Statistics Canada (2025). Low income cut-offs (LICOs) before and after tax by community size and family size, in current dollars [Dataset]. http://doi.org/10.25318/1110024101-eng
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    Dataset updated
    May 1, 2025
    Dataset provided by
    Government of Canadahttp://www.gg.ca/
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Low income cut-offs (LICOs) before and after tax by community size and family size, in current dollars, annual.

  9. Income of individuals by age group, sex and income source, Canada, provinces...

    • www150.statcan.gc.ca
    • open.canada.ca
    • +1more
    Updated May 1, 2025
    + more versions
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    Government of Canada, Statistics Canada (2025). Income of individuals by age group, sex and income source, Canada, provinces and selected census metropolitan areas [Dataset]. http://doi.org/10.25318/1110023901-eng
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    Dataset updated
    May 1, 2025
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Government of Canadahttp://www.gg.ca/
    Area covered
    Canada
    Description

    Income of individuals by age group, sex and income source, Canada, provinces and selected census metropolitan areas, annual.

  10. D

    Amusement Operators Registered with the Cook County Department of Revenue

    • cookcountyil.gov
    • datacatalog.cookcountyil.gov
    Updated Nov 4, 2025
    + more versions
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    Cook County Department of Revenue (2025). Amusement Operators Registered with the Cook County Department of Revenue [Dataset]. https://www.cookcountyil.gov/service/amusement-tax
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    kml, kmz, xlsx, xml, csv, application/geo+jsonAvailable download formats
    Dataset updated
    Nov 4, 2025
    Dataset authored and provided by
    Cook County Department of Revenue
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Area covered
    Cook County
    Description

    Disclaimer: This list is updated monthly on the website. If up-to-the-minute accuracy is needed, contact us at 312-603-6328. This dataset contains businesses registered for Amusement Operators.

  11. Single-earner and dual-earner census families by number of children

    • www150.statcan.gc.ca
    • ouvert.canada.ca
    • +2more
    Updated Jul 18, 2025
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    Government of Canada, Statistics Canada (2025). Single-earner and dual-earner census families by number of children [Dataset]. http://doi.org/10.25318/1110002801-eng
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    Dataset updated
    Jul 18, 2025
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Families of tax filers; Single-earner and dual-earner census families by number of children (final T1 Family File; T1FF).

  12. Low income measure (LIM) thresholds by income source and household size

    • www150.statcan.gc.ca
    • open.canada.ca
    Updated May 1, 2025
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    Government of Canada, Statistics Canada (2025). Low income measure (LIM) thresholds by income source and household size [Dataset]. http://doi.org/10.25318/1110023201-eng
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    Dataset updated
    May 1, 2025
    Dataset provided by
    Government of Canadahttp://www.gg.ca/
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Low income measure (LIM) thresholds by household size for market income, total income and after-tax income, in current and constant dollars, annual.

  13. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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Government of Canada, Statistics Canada (2025). Tax filers and dependants with income by total income, sex and age [Dataset]. http://doi.org/10.25318/1110000801-eng
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Tax filers and dependants with income by total income, sex and age

1110000801

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Dataset updated
Jul 18, 2025
Dataset provided by
Statistics Canadahttps://statcan.gc.ca/en
Area covered
Canada
Description

Individuals; Tax filers and dependants by total income, sex and age groups (final T1 Family File; T1FF).

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