53 datasets found
  1. a

    Median Income v2 0

    • ct-ejscreen-v1-connecticut.hub.arcgis.com
    Updated Aug 2, 2023
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    CIRCA_uconn (2023). Median Income v2 0 [Dataset]. https://ct-ejscreen-v1-connecticut.hub.arcgis.com/items/d4464fafb8594926bad4fca52600e1bd
    Explore at:
    Dataset updated
    Aug 2, 2023
    Dataset authored and provided by
    CIRCA_uconn
    Area covered
    Description

    This indicator represents the tracts ranked by their percentile level of median household incomes per census tract, per capita income. The data source is 2017-2021 American Community Survey, 5-year estimates. The percentile and the rank were calculated. A percentile is a score indicating the value below which a given percentage of observations in a group of observations fall. It indicates the relative position of a particular value within a dataset. For example, the 20th percentile is the value below which 20% of the observations may be found. The rank refers to a process of arranging percentiles in descending order, starting from the highest percentile and ending with the lowest percentile. Once the percentiles are ranked, a normalization step is performed to rescale the rank values between 0 and 10. A rank value of 10 represents the highest percentile, while a rank value of 0 corresponds to the lowest percentile in the dataset. The normalized rank provides a relative assessment of the position of each percentile within the distribution, making it simpler to understand the relative magnitude of differences between percentiles. Normalization between 0 and 10 ensures that the rank values are standardized and uniformly distributed within the specified range. This normalization allows for easier interpretation and comparison of the rank values, as they are now on a consistent scale. For detailed methods, go to connecticut-environmental-justice.circa.uconn.edu.

  2. Table 3.1a Percentile points from 1 to 99 for total income before and after...

    • gov.uk
    Updated Mar 12, 2025
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    HM Revenue & Customs (2025). Table 3.1a Percentile points from 1 to 99 for total income before and after tax [Dataset]. https://www.gov.uk/government/statistics/percentile-points-from-1-to-99-for-total-income-before-and-after-tax
    Explore at:
    Dataset updated
    Mar 12, 2025
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    HM Revenue & Customs
    Description

    The table only covers individuals who have some liability to Income Tax. The percentile points have been independently calculated on total income before tax and total income after tax.

    These statistics are classified as accredited official statistics.

    You can find more information about these statistics and collated tables for the latest and previous tax years on the Statistics about personal incomes page.

    Supporting documentation on the methodology used to produce these statistics is available in the release for each tax year.

    Note: comparisons over time may be affected by changes in methodology. Notably, there was a revision to the grossing factors in the 2018 to 2019 publication, which is discussed in the commentary and supporting documentation for that tax year. Further details, including a summary of significant methodological changes over time, data suitability and coverage, are included in the Background Quality Report.

  3. N

    Income Distribution by Quintile: Mean Household Income in Greece, New York

    • neilsberg.com
    csv, json
    Updated Jan 11, 2024
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    Neilsberg Research (2024). Income Distribution by Quintile: Mean Household Income in Greece, New York [Dataset]. https://www.neilsberg.com/research/datasets/949af6bf-7479-11ee-949f-3860777c1fe6/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Jan 11, 2024
    Dataset authored and provided by
    Neilsberg Research
    License

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

    Area covered
    Greece, New York
    Variables measured
    Income Level, Mean Household Income
    Measurement technique
    The data presented in this dataset is derived from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates. It delineates income distributions across income quintiles (mentioned above) following an initial analysis and categorization. Subsequently, we adjusted these figures for inflation using the Consumer Price Index retroactive series via current methods (R-CPI-U-RS). For additional information about these estimations, please contact us via email at research@neilsberg.com
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset presents the mean household income for each of the five quintiles in Greece, New York, as reported by the U.S. Census Bureau. The dataset highlights the variation in mean household income across quintiles, offering valuable insights into income distribution and inequality.

    Key observations

    • Income disparities: The mean income of the lowest quintile (20% of households with the lowest income) is 14,828, while the mean income for the highest quintile (20% of households with the highest income) is 204,681. This indicates that the top earners earn 14 times compared to the lowest earners.
    • *Top 5%: * The mean household income for the wealthiest population (top 5%) is 331,791, which is 162.10% higher compared to the highest quintile, and 2237.60% higher compared to the lowest quintile.

    Mean household income by quintiles in Greece, New York (in 2022 inflation-adjusted dollars))

    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

    Income Levels:

    • Lowest Quintile
    • Second Quintile
    • Third Quintile
    • Fourth Quintile
    • Highest Quintile
    • Top 5 Percent

    Variables / Data Columns

    • Income Level: This column showcases the income levels (As mentioned above).
    • Mean Household Income: Mean household income, in 2022 inflation-adjusted dollars for the specific income level.

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

    Recommended for further research

    This dataset is a part of the main dataset for Greece town median household income. You can refer the same here

  4. Health Inequality Project

    • redivis.com
    application/jsonl +7
    Updated Jan 17, 2020
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    Stanford Center for Population Health Sciences (2020). Health Inequality Project [Dataset]. http://doi.org/10.57761/7wg0-e126
    Explore at:
    parquet, arrow, avro, spss, csv, stata, sas, application/jsonlAvailable download formats
    Dataset updated
    Jan 17, 2020
    Dataset provided by
    Redivis Inc.
    Authors
    Stanford Center for Population Health Sciences
    Time period covered
    Jan 1, 2001 - Dec 31, 2014
    Description

    Abstract

    The Health Inequality Project uses big data to measure differences in life expectancy by income across areas and identify strategies to improve health outcomes for low-income Americans.

    Section 7

    This table reports life expectancy point estimates and standard errors for men and women at age 40 for each percentile of the national income distribution. Both race-adjusted and unadjusted estimates are reported.

    Source

    Section 13

    This table reports life expectancy point estimates and standard errors for men and women at age 40 for each percentile of the national income distribution separately by year. Both race-adjusted and unadjusted estimates are reported.

    Source

    Section 6

    This dataset was created on 2020-01-10 18:53:00.508 by merging multiple datasets together. The source datasets for this version were:

    Commuting Zone Life Expectancy Estimates by year: CZ-level by-year life expectancy estimates for men and women, by income quartile

    Commuting Zone Life Expectancy: Commuting zone (CZ)-level life expectancy estimates for men and women, by income quartile

    Commuting Zone Life Expectancy Trends: CZ-level estimates of trends in life expectancy for men and women, by income quartile

    Commuting Zone Characteristics: CZ-level characteristics

    Commuting Zone Life Expectancy for larger populations: CZ-level life expectancy estimates for men and women, by income ventile

    Section 15

    This table reports life expectancy point estimates and standard errors for men and women at age 40 for each quartile of the national income distribution by state of residence and year. Both race-adjusted and unadjusted estimates are reported.

    Source

    Section 11

    This table reports US mortality rates by gender, age, year and household income percentile. Household incomes are measured two years prior to the mortality rate for mortality rates at ages 40-63, and at age 61 for mortality rates at ages 64-76. The “lag” variable indicates the number of years between measurement of income and mortality.

    Observations with 1 or 2 deaths have been masked: all mortality rates that reflect only 1 or 2 deaths have been recoded to reflect 3 deaths

    Source

    Section 3

    This table reports coefficients and standard errors from regressions of life expectancy estimates for men and women at age 40 for each quartile of the national income distribution on calendar year by commuting zone of residence. Only the slope coefficient, representing the average increase or decrease in life expectancy per year, is reported. Trend estimates for both race-adjusted and unadjusted life expectancies are reported. Estimates are reported for the 100 largest CZs (populations greater than 590,000) only.

    Source

    Section 9

    This table reports life expectancy estimates at age 40 for Males and Females for all countries. Source: World Health Organization, accessed at: http://apps.who.int/gho/athena/

    Source

    Section 10

    This table reports life expectancy point estimates and standard errors for men and women at age 40 for each quartile of the national income distribution by county of residence. Both race-adjusted and unadjusted estimates are reported. Estimates are reported for counties with populations larger than 25,000 only

    Source

    Section 2

    This table reports life expectancy point estimates and standard errors for men and women at age 40 for each quartile of the national income distribution by commuting zone of residence and year. Both race-adjusted and unadjusted estimates are reported. Estimates are reported for the 100 largest CZs (populations greater than 590,000) only.

    Source

    Section 8

    This table reports US population and death counts by age, year, and sex from various sources. Counts labelled “dm1” are derived from the Social Security Administration Data Master 1 file. Counts labelled “irs” are derived from tax data. Counts labelled “cdc” are derived from NCHS life tables.

    Source

    Section 12

    This table reports numerous county characteristics, compiled from various sources. These characteristics are described in the county life expectancy table.

    Two variables constructed by the Cen

  5. a

    Low Income Percentile GT 50

    • hub.arcgis.com
    Updated Dec 12, 2024
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    Chesapeake Geoplatform (2024). Low Income Percentile GT 50 [Dataset]. https://hub.arcgis.com/maps/ChesBay::low-income-percentile-gt-50-1
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    Dataset updated
    Dec 12, 2024
    Dataset authored and provided by
    Chesapeake Geoplatform
    Area covered
    Description

    This data resource includes layers in a map service. To download it, please go to the "Layers" section of this page and click the name of the dataset. This will open a new page that features a download button. Open the Map Service: https://gis.chesapeakebay.net/ags/rest/services/WIP/MEB_DEIJ_07082024/MapServer This downloadable dataset complements an interactive map and story map. A total of $23 million has been directed to support Most Effective Basins (MEB) implementation in FY2024. MEBs targeted for this funding were identified based on load effectiveness, which is a measure of the ability of management practices implemented in each area (basin) to have a positive effect on dissolved oxygen in the Chesapeake Bay. Unless otherwise approved, implementation activities are expected to occur within these areas.

  6. r

    National Mortality

    • redivis.com
    Updated Jan 10, 2020
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    National Mortality [Dataset]. https://redivis.com/datasets/w5kt-6wb4cxdnz
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    Dataset updated
    Jan 10, 2020
    Dataset authored and provided by
    Stanford Center for Population Health Sciences
    Time period covered
    2001 - 2014
    Description

    National mortality rates by gender, age, year, and income percentile

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

    • www150.statcan.gc.ca
    • ouvert.canada.ca
    • +2more
    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
    Explore at:
    Dataset updated
    May 1, 2025
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

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

  8. N

    Alaska households by income brackets: family, non-family, and total, in 2023...

    • neilsberg.com
    csv, json
    Updated Mar 3, 2025
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    Neilsberg Research (2025). Alaska households by income brackets: family, non-family, and total, in 2023 inflation-adjusted dollars [Dataset]. https://www.neilsberg.com/insights/alaska-median-household-income/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Mar 3, 2025
    Dataset authored and provided by
    Neilsberg Research
    License

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

    Area covered
    Alaska
    Variables measured
    Income Level, All households, Family households, Non-Family households, Percent of All households, Percent of Family households, Percent of Non-Family households
    Measurement technique
    The data presented in this dataset is derived from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It delineates income distributions across income brackets (mentioned above) following an initial analysis and categorization. The percentage of all, family and nonfamily households were collected by grouping data as applicable. For additional information about these estimations, please contact us via email at research@neilsberg.com
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset presents a breakdown of households across various income brackets in Alaska, as reported by the U.S. Census Bureau. The Census Bureau classifies households into different categories, including total households, family households, and non-family households. Our analysis of U.S. Census Bureau American Community Survey data for Alaska reveals how household income distribution varies among these categories. The dataset highlights the variation in number of households with income, offering valuable insights into the distribution of Alaska households based on income levels.

    Key observations

    • For Family Households: In Alaska, the majority of family households, representing 18.08%, earn $200,000 or more, showcasing a substantial share of the community families falling within this income bracket. Conversely, the minority of family households, comprising 1.29%, have incomes falling $30,000 to $34,999, representing a smaller but still significant segment of the community.
    • For Non-Family Households: In Alaska, the majority of non-family households, accounting for 13.93%, have income $75,000 to $99,999, indicating that a substantial portion of non-family households falls within this income bracket. On the other hand, the minority of non-family households, comprising 4.25%, earn $30,000 to $34,999, representing a smaller, yet notable, portion of non-family households in the community.
    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

    Income Levels:

    • Less than $10,000
    • $10,000 to $14,999
    • $15,000 to $19,999
    • $20,000 to $24,999
    • $25,000 to $29,999
    • $30,000 to $34,999
    • $35,000 to $39,999
    • $40,000 to $44,999
    • $45,000 to $49,999
    • $50,000 to $59,999
    • $60,000 to $74,999
    • $75,000 to $99,999
    • $125,000 to $149,999
    • $150,000 to $199,999
    • $200,000 or more

    Variables / Data Columns

    • Income Level: The income level represents the income brackets ranging from Less than $10,000 to $200,000 or more in Alaska (As mentioned above).
    • All Households: Count of households for the specified income level
    • % All Households: Percentage of households at the specified income level relative to the total households in Alaska
    • Family Households: Count of family households for the specified income level
    • % Family Households: Percentage of family households at the specified income level relative to the total family households in Alaska
    • Non-Family Households: Count of non-family households for the specified income level
    • % Non-Family Households: Percentage of non-family households at the specified income level relative to the total non-family households in Alaska

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

    Recommended for further research

    This dataset is a part of the main dataset for Alaska median household income. You can refer the same here

  9. Monthly Household Income from Work Per Household Member (Including Employer...

    • data.gov.sg
    Updated Oct 28, 2024
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    Singapore Department of Statistics (2024). Monthly Household Income from Work Per Household Member (Including Employer CPF Contributions) Among Resident Employed Households at Selected Percentiles (Household Income From Work, Annual 2000-2023) [Dataset]. https://data.gov.sg/datasets/d_1f57cbc6cc41d72fb1b96c7c266c2eaf/view
    Explore at:
    Dataset updated
    Oct 28, 2024
    Dataset authored and provided by
    Singapore Department of Statistics
    License

    https://data.gov.sg/open-data-licencehttps://data.gov.sg/open-data-licence

    Description

    Dataset from Singapore Department of Statistics. For more information, visit https://data.gov.sg/datasets/d_1f57cbc6cc41d72fb1b96c7c266c2eaf/view

  10. g

    Distributional Financial Accounts

    • gimi9.com
    • s.cnmilf.com
    • +1more
    Updated Dec 18, 2024
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    (2024). Distributional Financial Accounts [Dataset]. https://gimi9.com/dataset/data-gov_distributional-financial-accounts/
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    Dataset updated
    Dec 18, 2024
    Description

    The Distributional Financial Accounts (DFAs) provide a quarterly measure of the distribution of U.S. household wealth since 1989, based on a comprehensive integration of disaggregated household-level wealth data with official aggregate wealth measures. The data set contains the level and share of each balance sheet item on the Financial Accounts' household wealth table (Table B.101.h), for various sub-populations in the United States. In our core data set, aggregate household wealth is allocated to each of four percentile groups of wealth: the top 1 percent, the next 9 percent (i.e., 90th to 99th percentile), the next 40 percent (50th to 90th percentile), and the bottom half (below the 50th percentile). Additionally, the data set contains the level and share of aggregate household wealth by income, age, generation, education, and race. The quarterly frequency makes the data useful for studying the business cycle dynamics of wealth concentration--which are typically difficult to observe in lower-frequency data because peaks and troughs often fall between times of measurement. These data will be updated about 10 or 11 weeks after the end of each quarter, making them a timely measure of the distribution of wealth.

  11. r

    National Life Expectancy

    • redivis.com
    Updated Jan 10, 2020
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    Stanford Center for Population Health Sciences (2020). National Life Expectancy [Dataset]. https://redivis.com/datasets/w5kt-6wb4cxdnz
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    Dataset updated
    Jan 10, 2020
    Dataset authored and provided by
    Stanford Center for Population Health Sciences
    Time period covered
    2001 - 2014
    Description

    National life expectancy estimates (pooling 2001-14) for men and women, by income percentile.

  12. r

    National Life Expectancy by year

    • redivis.com
    Updated Jan 10, 2020
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    Stanford Center for Population Health Sciences (2020). National Life Expectancy by year [Dataset]. https://redivis.com/datasets/w5kt-6wb4cxdnz
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    Dataset updated
    Jan 10, 2020
    Dataset authored and provided by
    Stanford Center for Population Health Sciences
    Time period covered
    2001 - 2014
    Description

    National by-year life expectancy estimates for men and women, by income percentile

  13. Upper income limit, income share and average income by economic family type...

    • www150.statcan.gc.ca
    • open.canada.ca
    • +2more
    Updated May 1, 2025
    + more versions
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    Government of Canada, Statistics Canada (2025). Upper income limit, income share and average income by economic family type and income decile [Dataset]. http://doi.org/10.25318/1110019201-eng
    Explore at:
    Dataset updated
    May 1, 2025
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Upper income limit, income share and average of market, total and after-tax income by economic family type and income decile, annual.

  14. A

    ‘SID09 - Current percentile of equivalised disposable income by the...

    • analyst-2.ai
    Updated Jan 19, 2022
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2022). ‘SID09 - Current percentile of equivalised disposable income by the perceived financial situation of the teenage household’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/data-europa-eu-sid09-current-percentile-of-equivalised-disposable-income-by-the-perceived-financial-situation-of-the-teenage-household-b5cf/latest
    Explore at:
    Dataset updated
    Jan 19, 2022
    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

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

    Description

    Analysis of ‘SID09 - Current percentile of equivalised disposable income by the perceived financial situation of the teenage household’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from http://data.europa.eu/88u/dataset/5981d36f-ab08-4a4c-822b-cd5bd473794f on 19 January 2022.

    --- Dataset description provided by original source is as follows ---

    Current percentile of equivalised disposable income by the perceived financial situation of the teenage household

    --- Original source retains full ownership of the source dataset ---

  15. High income tax filers in Canada

    • www150.statcan.gc.ca
    • open.canada.ca
    • +1more
    Updated Oct 28, 2024
    + more versions
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    Government of Canada, Statistics Canada (2024). High income tax filers in Canada [Dataset]. http://doi.org/10.25318/1110005501-eng
    Explore at:
    Dataset updated
    Oct 28, 2024
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    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.

  16. d

    DDA12 - Earnings Percentiles

    • datasalsa.com
    • data.europa.eu
    csv, json-stat, px +1
    Updated Dec 31, 2024
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    Central Statistics Office (2024). DDA12 - Earnings Percentiles [Dataset]. https://datasalsa.com/dataset/?catalogue=data.gov.ie&name=dda12-earnings-percentiles
    Explore at:
    xlsx, csv, json-stat, pxAvailable download formats
    Dataset updated
    Dec 31, 2024
    Dataset authored and provided by
    Central Statistics Office
    License

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

    Time period covered
    Jul 10, 2025
    Description

    DDA12 - Earnings Percentiles. Published by Central Statistics Office. Available under the license Creative Commons Attribution 4.0 (CC-BY-4.0).Earnings Percentiles...

  17. d

    DDA07 - Composition of Overall Weekly & Annual Earnings Percentiles

    • datasalsa.com
    • data.europa.eu
    csv, json-stat, px +1
    Updated Dec 30, 2024
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    Central Statistics Office (2024). DDA07 - Composition of Overall Weekly & Annual Earnings Percentiles [Dataset]. https://datasalsa.com/dataset/?catalogue=data.gov.ie&name=dda07-composition-of-overall-weekly-and-annual-earnings-percentiles
    Explore at:
    csv, px, xlsx, json-statAvailable download formats
    Dataset updated
    Dec 30, 2024
    Dataset authored and provided by
    Central Statistics Office
    License

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

    Time period covered
    Jun 30, 2025
    Description

    DDA07 - Composition of Overall Weekly & Annual Earnings Percentiles. Published by Central Statistics Office. Available under the license Creative Commons Attribution 4.0 (CC-BY-4.0).Composition of Overall Weekly & Annual Earnings Percentiles...

  18. d

    DDA10 - Earnings Percentiles

    • datasalsa.com
    csv, json-stat, px +1
    Updated Jan 2, 2025
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    Central Statistics Office (2025). DDA10 - Earnings Percentiles [Dataset]. https://datasalsa.com/dataset/?catalogue=data.gov.ie&name=dda10-earnings-percentiles
    Explore at:
    xlsx, json-stat, px, csvAvailable download formats
    Dataset updated
    Jan 2, 2025
    Dataset authored and provided by
    Central Statistics Office
    License

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

    Time period covered
    Jul 13, 2025
    Description

    DDA10 - Earnings Percentiles. Published by Central Statistics Office. Available under the license Creative Commons Attribution 4.0 (CC-BY-4.0).Earnings Percentiles...

  19. r

    Crosswalk Between Income/Wage Percentiles and 2015 Dollars

    • redivis.com
    Updated Jun 21, 2022
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    Environmental Impact Data Collaborative (2022). Crosswalk Between Income/Wage Percentiles and 2015 Dollars [Dataset]. https://redivis.com/datasets/eh59-bemd0fw98
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    Dataset updated
    Jun 21, 2022
    Dataset authored and provided by
    Environmental Impact Data Collaborative
    Description

    The table Crosswalk Between Income/Wage Percentiles and 2015 Dollars is part of the dataset The Opportunity Atlas dataset, available at https://redivis.com/datasets/eh59-bemd0fw98. It contains 101 rows across 7 variables.

  20. d

    DDA05 - Composition of Overall Weekly & Annual Earnings Percentiles

    • datasalsa.com
    • data.europa.eu
    csv, json-stat, px +1
    Updated Jan 3, 2025
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    Central Statistics Office (2025). DDA05 - Composition of Overall Weekly & Annual Earnings Percentiles [Dataset]. https://datasalsa.com/dataset/?catalogue=data.gov.ie&name=dda05-composition-of-overall-weekly-and-annual-earnings-percentiles
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    px, xlsx, csv, json-statAvailable download formats
    Dataset updated
    Jan 3, 2025
    Dataset authored and provided by
    Central Statistics Office
    License

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

    Time period covered
    Jul 13, 2025
    Description

    DDA05 - Composition of Overall Weekly & Annual Earnings Percentiles. Published by Central Statistics Office. Available under the license Creative Commons Attribution 4.0 (CC-BY-4.0).Composition of Overall Weekly & Annual Earnings Percentiles...

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CIRCA_uconn (2023). Median Income v2 0 [Dataset]. https://ct-ejscreen-v1-connecticut.hub.arcgis.com/items/d4464fafb8594926bad4fca52600e1bd

Median Income v2 0

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Dataset updated
Aug 2, 2023
Dataset authored and provided by
CIRCA_uconn
Area covered
Description

This indicator represents the tracts ranked by their percentile level of median household incomes per census tract, per capita income. The data source is 2017-2021 American Community Survey, 5-year estimates. The percentile and the rank were calculated. A percentile is a score indicating the value below which a given percentage of observations in a group of observations fall. It indicates the relative position of a particular value within a dataset. For example, the 20th percentile is the value below which 20% of the observations may be found. The rank refers to a process of arranging percentiles in descending order, starting from the highest percentile and ending with the lowest percentile. Once the percentiles are ranked, a normalization step is performed to rescale the rank values between 0 and 10. A rank value of 10 represents the highest percentile, while a rank value of 0 corresponds to the lowest percentile in the dataset. The normalized rank provides a relative assessment of the position of each percentile within the distribution, making it simpler to understand the relative magnitude of differences between percentiles. Normalization between 0 and 10 ensures that the rank values are standardized and uniformly distributed within the specified range. This normalization allows for easier interpretation and comparison of the rank values, as they are now on a consistent scale. For detailed methods, go to connecticut-environmental-justice.circa.uconn.edu.

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