100+ datasets found
  1. U.S. median household income1970-2020, by income tier

    • statista.com
    Updated Aug 7, 2024
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    Statista (2024). U.S. median household income1970-2020, by income tier [Dataset]. https://www.statista.com/statistics/500385/median-household-income-in-the-us-by-income-tier/
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    Dataset updated
    Aug 7, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    This statistic shows the median household income in the United States from 1970 to 2020, by income tier. In 2020, the median household income for the middle class stood at 90,131 U.S. dollars, which was approximately a 50 percent increase from 1970. However, the median income of upper income households in the U.S. increased by almost 70 percent compared to 1970.

  2. F

    Real Median Personal Income in the United States

    • fred.stlouisfed.org
    json
    Updated Sep 10, 2024
    + more versions
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    (2024). Real Median Personal Income in the United States [Dataset]. https://fred.stlouisfed.org/series/MEPAINUSA672N
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Sep 10, 2024
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    United States
    Description

    Graph and download economic data for Real Median Personal Income in the United States (MEPAINUSA672N) from 1974 to 2023 about personal income, personal, median, income, real, and USA.

  3. National income per capita worldwide 1970-2021, by region

    • statista.com
    Updated May 30, 2025
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    Statista (2025). National income per capita worldwide 1970-2021, by region [Dataset]. https://www.statista.com/statistics/1413457/national-income-per-capita-region/
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    Dataset updated
    May 30, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    MENA, Africa, LAC, North America, Worldwide, Europe, APAC
    Description

    Since 1970, net national incomes per capita have grown in each region of the world. North America has experienced the largest increase, growing from nearly 4,500 U.S. dollars per capita in 1970 to $57,300 per capita in 2021. Europe and Central Asia follow behind North America, growing from 1,200 dollars per capita in 1970 to 22,000 in 2021. Other regions such as Sub-Saharan Africa, the Middle East and North Africa, Latin America and the Caribbean, and South Asia have not grown as high, but their growth is still significant, with net national incomes per capita in 2021 growing to between 10 and 20 times their 1970 levels.

  4. F

    Median Family Income in the United States

    • fred.stlouisfed.org
    json
    Updated Sep 10, 2024
    + more versions
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    (2024). Median Family Income in the United States [Dataset]. https://fred.stlouisfed.org/series/MEFAINUSA646N
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Sep 10, 2024
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    United States
    Description

    Graph and download economic data for Median Family Income in the United States (MEFAINUSA646N) from 1953 to 2023 about family, median, income, and USA.

  5. Global adjusted net national income per capita 1970-2021

    • statista.com
    Updated May 30, 2025
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    Statista (2025). Global adjusted net national income per capita 1970-2021 [Dataset]. https://www.statista.com/statistics/1413425/adjusted-national-income-capita-usd/
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    Dataset updated
    May 30, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    Net national incomes have grown globally, growing from 694 U.S. dollars in 1970 to 9,750 in 2021. Much of this growth can be attributed to improvements in overall global development, as economies in developing countries have grown rapidly. Net national incomes grew steadily from the 1970s to the 2000s, and then experienced a sharper increase during the 2000s until the Great Recession, falling slightly in 2008.

  6. Change in U.S. median household income 1970-2014, by income tier

    • statista.com
    Updated Dec 9, 2015
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    Statista (2015). Change in U.S. median household income 1970-2014, by income tier [Dataset]. https://www.statista.com/statistics/500405/change-in-us-median-household-income-by-income-tier/
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    Dataset updated
    Dec 9, 2015
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    1970 - 2014
    Area covered
    United States
    Description

    This statistic shows the change in the median household income per decade in the United States from 1970 to 2014, by income tier. Between 1990 and 2000, the median household income for the middle class increased by 12 percent.

    This study defined middle class income households as those with an income between 67 and 200 percent of the U.S. median household income, after adjustment for household size. In 2014, the middle class income ranged from about 42,000 U.S. dollars to about 126,000 U.S. dollars per year for a three-person household.

  7. T

    Vital Signs: Income (Median by Workplace) – by county (2022)

    • data.bayareametro.gov
    application/rdfxml +5
    Updated Feb 1, 2023
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    (2023). Vital Signs: Income (Median by Workplace) – by county (2022) [Dataset]. https://data.bayareametro.gov/dataset/Vital-Signs-Income-Median-by-Workplace-by-county-2/7xhi-hjk7
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    csv, application/rssxml, tsv, json, xml, application/rdfxmlAvailable download formats
    Dataset updated
    Feb 1, 2023
    Description

    VITAL SIGNS INDICATOR
    Income (EC4)

    FULL MEASURE NAME
    Household income by place of residence

    LAST UPDATED
    January 2023

    DESCRIPTION
    Income reflects the median earnings of individuals and households from employment, as well as the income distribution by quintile. Income data highlight how employees are being compensated for their work on an inflation-adjusted basis.

    DATA SOURCE
    U.S. Census Bureau: Decennial Census - https://nhgis.org
    Count 4Pb (1970)
    Form STF3 (1980-1990)
    Form SF3a (2000)

    U.S. Census Bureau: American Community Survey - https://data.census.gov/
    Form B19001 (2005-2021; household income by place of residence)
    Form B19013 (2005-2021; median household income by place of residence)
    Form B08521 (2005-2021; median worker earnings by place of employment)

    Bureau of Labor Statistics: Consumer Price Index - https://www.bls.gov/data/
    1970-2021

    CONTACT INFORMATION
    vitalsigns.info@bayareametro.gov

    METHODOLOGY NOTES (across all datasets for this indicator)
    Income derived from the decennial Census data reflects the income earned in the prior calendar year, whereas income derived from the American Community Survey (ACS) data reflects the prior 12 month period; note that this inconsistency has a minor effect on historical comparisons (see Income and Earnings Data section of the ACS General Handbook - https://www.census.gov/content/dam/Census/library/publications/2020/acs/acs_general_handbook_2020_ch09.pdf). ACS 1-year data is used for larger geographies – Bay counties and most metropolitan area counties – while smaller geographies rely upon 5-year rolling average data due to their smaller sample sizes. Note that 2020 data uses the 5-year estimates because the ACS did not collect 1-year data for 2020.

    Quintile income for 1970-2000 is imputed from decennial Census data using methodology from the California Department of Finance. Bay Area income is the population weighted average of county-level income.

    Income has been inflated using the Consumer Price Index (CPI) for 2021 specific to each metro area; however, some metro areas lack metro-specific CPI data back to 1970 and therefore adjusted data uses national CPI for 1970. Note that current MSA boundaries were used for historical comparison by identifying counties included in today’s metro areas.

  8. U.S household income shares of quintiles 1970-2023

    • statista.com
    • ai-chatbox.pro
    Updated Sep 17, 2024
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    Statista (2024). U.S household income shares of quintiles 1970-2023 [Dataset]. https://www.statista.com/statistics/203247/shares-of-household-income-of-quintiles-in-the-us/
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    Dataset updated
    Sep 17, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    About 50.4 percent of the household income of private households in the U.S. were earned by the highest quintile in 2023, which are the upper 20 percent of the workers. In contrast to that, in the same year, only 3.5 percent of the household income was earned by the lowest quintile. This relation between the quintiles is indicative of the level of income inequality in the United States. Income inequalityIncome inequality is a big topic for public discussion in the United States. About 65 percent of U.S. Americans think that the gap between the rich and the poor has gotten larger in the past ten years. This impression is backed up by U.S. census data showing that the Gini-coefficient for income distribution in the United States has been increasing constantly over the past decades for individuals and households. The Gini coefficient for individual earnings of full-time, year round workers has increased between 1990 and 2020 from 0.36 to 0.42, for example. This indicates an increase in concentration of income. In general, the Gini coefficient is calculated by looking at average income rates. A score of zero would reflect perfect income equality and a score of one indicates a society where one person would have all the money and all other people have nothing. Income distribution is also affected by region. The state of New York had the widest gap between rich and poor people in the United States, with a Gini coefficient of 0.51, as of 2019. In global comparison, South Africa led the ranking of the 20 countries with the biggest inequality in income distribution in 2018. South Africa had a score of 63 points, based on the Gini coefficient. On the other hand, the Gini coefficient stood at 16.6 in Azerbaijan, indicating that income is widely spread among the population and not concentrated on a few rich individuals or families. Slovenia led the ranking of the 20 countries with the greatest income distribution equality in 2018.

  9. T

    Vital Signs: Income (Median by Place of Residence) – Bay Area

    • data.bayareametro.gov
    • open-data-demo.mtc.ca.gov
    application/rdfxml +5
    Updated Aug 2, 2019
    + more versions
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    (2019). Vital Signs: Income (Median by Place of Residence) – Bay Area [Dataset]. https://data.bayareametro.gov/dataset/Vital-Signs-Income-Median-by-Place-of-Residence-Ba/hp78-6nm2
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    application/rssxml, csv, xml, application/rdfxml, tsv, jsonAvailable download formats
    Dataset updated
    Aug 2, 2019
    Area covered
    San Francisco Bay Area
    Description

    VITAL SIGNS INDICATOR Income (EC4)

    FULL MEASURE NAME Household income by place of residence

    LAST UPDATED May 2019

    DESCRIPTION Income reflects the median earnings of individuals and households from employment, as well as the income distribution by quintile. Income data highlight how employees are being compensated for their work on an inflation-adjusted basis.

    DATA SOURCE U.S. Census Bureau: Decennial Census Count 4Pb (1970) Form STF3 (1980-1990) Form SF3a (2000) https://nhgis.org

    U.S. Census Bureau: American Community Survey Form B19013 (2006-2017; place of residence) http://api.census.gov

    Bureau of Labor Statistics: Consumer Price Index All Urban Consumers Data Table (1970-2017; specific to each metro area) http://data.bls.gov

    CONTACT INFORMATION vitalsigns.info@bayareametro.gov

    METHODOLOGY NOTES (across all datasets for this indicator) Income data reported in a given year reflects the income earned in the prior year (decennial Census) or in the prior 12 months (American Community Survey); note that this inconsistency has a minor effect on historical comparisons (for more information, go to: http://www.census.gov/acs/www/Downloads/methodology/ASA_nelson.pdf). American Community Survey 1-year data is used for larger geographies – metropolitan areas and counties – while smaller geographies rely upon 5-year rolling average data due to their smaller sample sizes. Quintile income for 1970-2000 is imputed from Decennial Census data using methodology from the California Department of Finance (for more information, go to: http://www.dof.ca.gov/Forecasting/Demographics/Census_Data_Center_Network/documents/How_to_Recalculate_a_Median.pdf). Bay Area income is the population weighted average of county-level income.

    Income has been inflated using the Consumer Price Index specific to each metro area; however, some metro areas lack metro-specific CPI data back to 1970 and therefore adjusted data is unavailable for some historical data points. Note that current MSA boundaries were used for historical comparison by identifying counties included in today’s metro areas.

  10. F

    Real Median Household Income in New York

    • fred.stlouisfed.org
    json
    Updated Sep 11, 2024
    + more versions
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    (2024). Real Median Household Income in New York [Dataset]. https://fred.stlouisfed.org/series/MEHOINUSNYA672N
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Sep 11, 2024
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    New York
    Description

    Graph and download economic data for Real Median Household Income in New York (MEHOINUSNYA672N) from 1984 to 2023 about NY, households, median, income, real, and USA.

  11. United States US: Price to Income Ratio: sa

    • ceicdata.com
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    CEICdata.com, United States US: Price to Income Ratio: sa [Dataset]. https://www.ceicdata.com/en/united-states/house-price-index-seasonally-adjusted-oecd-member-annual/us-price-to-income-ratio-sa
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    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Dec 1, 2013 - Dec 1, 2024
    Area covered
    United States
    Description

    United States US: Price to Income Ratio: sa data was reported at 130.892 2015=100 in 2024. This records an increase from the previous number of 129.315 2015=100 for 2023. United States US: Price to Income Ratio: sa data is updated yearly, averaging 113.539 2015=100 from Dec 1970 (Median) to 2024, with 55 observations. The data reached an all-time high of 132.929 2015=100 in 1979 and a record low of 90.287 2015=100 in 2012. United States US: Price to Income Ratio: sa data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s United States – Table US.OECD.AHPI: House Price Index: Seasonally Adjusted: OECD Member: Annual. Nominal house prices divided by nominal disposable income per head. Net household disposable income is used. The population data come from the OECD national accounts database.

  12. T

    Netherlands Gross Monthly Income

    • tradingeconomics.com
    • zh.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Feb 21, 2025
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    TRADING ECONOMICS (2025). Netherlands Gross Monthly Income [Dataset]. https://tradingeconomics.com/netherlands/wages
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    json, excel, xml, csvAvailable download formats
    Dataset updated
    Feb 21, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Dec 31, 1970 - Dec 31, 2025
    Area covered
    Netherlands
    Description

    Wages in Netherlands increased to 3875 EUR/Month in 2025 from 3708.33 EUR/Month in 2024. This dataset provides - Netherlands Average Hourly Wages Index - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  13. U.S. median household income 1967-2023, by race and ethnicity

    • statista.com
    • ai-chatbox.pro
    Updated Oct 28, 2024
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    Statista (2024). U.S. median household income 1967-2023, by race and ethnicity [Dataset]. https://www.statista.com/statistics/1086359/median-household-income-race-us/
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    Dataset updated
    Oct 28, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In the U.S., median household income rose from 51,570 U.S. dollars in 1967 to 80,610 dollars in 2023. In terms of broad ethnic groups, Black Americans have consistently had the lowest median income in the given years, while Asian Americans have the highest; median income in Asian American households has typically been around double that of Black Americans.

  14. c

    Maryland Per Capita Personal Income Projections (in Constant 2009...

    • s.cnmilf.com
    • opendata.maryland.gov
    • +2more
    Updated Jun 21, 2025
    + more versions
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    opendata.maryland.gov (2025). Maryland Per Capita Personal Income Projections (in Constant 2009 Dollars):1970-2040 [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/maryland-per-capita-personal-income-projections-in-constant-2009-dollars-1970-2040
    Explore at:
    Dataset updated
    Jun 21, 2025
    Dataset provided by
    opendata.maryland.gov
    Area covered
    Maryland
    Description

    Historical and Projected Per Capita Personal Income for Maryland and its Jurisdictions (in constant 2009 Dollars): 1970 - 2040. Historical data, 1970 - 2016, from the U.S. Bureau of Economic Analysis. Projections by the the Maryland Department of Planning.

  15. U.S. workers median hourly inflation adjusted earnings 1979-2023

    • statista.com
    Updated Jan 14, 2025
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    Statista (2025). U.S. workers median hourly inflation adjusted earnings 1979-2023 [Dataset]. https://www.statista.com/statistics/185369/median-hourly-earnings-of-wage-and-salary-workers/
    Explore at:
    Dataset updated
    Jan 14, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2023, the usual median hourly rate of a worker's wage in the United States was 19.24 U.S. dollars, a decrease from the previous year. Dollar value is based on 2023 U.S. dollars. In 1979, the median hourly earnings in the U.S. was 17.48 dollars.

  16. T

    Japan Average Monthly Wages

    • tradingeconomics.com
    • de.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS, Japan Average Monthly Wages [Dataset]. https://tradingeconomics.com/japan/wages
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    json, excel, csv, xmlAvailable download formats
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 31, 1970 - May 31, 2025
    Area covered
    Japan
    Description

    Wages in Japan decreased to 335164 JPY/Month in May from 338252 JPY/Month in April of 2025. This dataset provides - Japan Average Monthly Wages - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  17. Census of Population and Housing, 1970: Journey to Work Summary Statistics

    • archive.ciser.cornell.edu
    Updated Feb 7, 2020
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    Bureau of the Census (2020). Census of Population and Housing, 1970: Journey to Work Summary Statistics [Dataset]. http://doi.org/10.6077/j5/3q45vz
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    Dataset updated
    Feb 7, 2020
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Bureau of Economic Analysis
    Variables measured
    GeographicUnit
    Description

    These data are 15-percent samples of all employed persons from the 1970 Census of Population and Housing. The data were cross-classified by four categories of earnings, and by two categories of numbers of workers and mean earnings. Thirteen categories of class of industry are cross-classified by five categories of workers, and by two categories of number of workers and mean wage and salary or self-employment income.

  18. T

    China Average Yearly Wages

    • tradingeconomics.com
    • de.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated May 15, 2025
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    TRADING ECONOMICS (2025). China Average Yearly Wages [Dataset]. https://tradingeconomics.com/china/wages
    Explore at:
    json, xml, csv, excelAvailable download formats
    Dataset updated
    May 15, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Dec 31, 1952 - Dec 31, 2024
    Area covered
    China
    Description

    Wages in China increased to 120698 CNY/Year in 2023 from 114029 CNY/Year in 2022. This dataset provides - China Average Yearly Wages - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  19. N

    Colona, IL annual income distribution by work experience and gender dataset:...

    • neilsberg.com
    csv, json
    Updated Feb 27, 2025
    + more versions
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    Neilsberg Research (2025). Colona, IL annual income distribution by work experience and gender dataset: Number of individuals ages 15+ with income, 2023 // 2025 Edition [Dataset]. https://www.neilsberg.com/research/datasets/ba9ea872-f4ce-11ef-8577-3860777c1fe6/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Feb 27, 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
    Colona, Illinois
    Variables measured
    Income for Male Population, Income for Female Population, Income for Male Population working full time, Income for Male Population working part time, Income for Female Population working full time, Income for Female Population working part time, Number of males working full time for a given income bracket, Number of males working part time for a given income bracket, Number of females working full time for a given income bracket, Number of females working part time for a given income bracket
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. To portray the number of individuals for both the genders (Male and Female), within each income bracket we conducted an initial analysis and categorization of the American Community Survey data. Households are categorized, and median incomes are reported based on the self-identified gender of the head of the household. 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 detailed breakdown of the count of individuals within distinct income brackets, categorizing them by gender (men and women) and employment type - full-time (FT) and part-time (PT), offering valuable insights into the diverse income landscapes within Colona. The dataset can be utilized to gain insights into gender-based income distribution within the Colona population, aiding in data analysis and decision-making..

    Key observations

    • Employment patterns: Within Colona, among individuals aged 15 years and older with income, there were 1,970 men and 2,184 women in the workforce. Among them, 1,130 men were engaged in full-time, year-round employment, while 1,124 women were in full-time, year-round roles.
    • Annual income under $24,999: Of the male population working full-time, none fell within the income range of under $24,999, while 17.26% of the female population working full-time was represented in the same income bracket.
    • Annual income above $100,000: 20.09% of men in full-time roles earned incomes exceeding $100,000, while 3.74% of women in full-time positions earned within this income bracket.
    • Refer to the research insights for more key observations on more income brackets ( Annual income under $24,999, Annual income between $25,000 and $49,999, Annual income between $50,000 and $74,999, Annual income between $75,000 and $99,999 and Annual income above $100,000) and employment types (full-time year-round and part-time)
    Content

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

    Income brackets:

    • $1 to $2,499 or loss
    • $2,500 to $4,999
    • $5,000 to $7,499
    • $7,500 to $9,999
    • $10,000 to $12,499
    • $12,500 to $14,999
    • $15,000 to $17,499
    • $17,500 to $19,999
    • $20,000 to $22,499
    • $22,500 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 $54,999
    • $55,000 to $64,999
    • $65,000 to $74,999
    • $75,000 to $99,999
    • $100,000 or more

    Variables / Data Columns

    • Income Bracket: This column showcases 20 income brackets ranging from $1 to $100,000+..
    • Full-Time Males: The count of males employed full-time year-round and earning within a specified income bracket
    • Part-Time Males: The count of males employed part-time and earning within a specified income bracket
    • Full-Time Females: The count of females employed full-time year-round and earning within a specified income bracket
    • Part-Time Females: The count of females employed part-time and earning within a specified income bracket

    Employment type classifications include:

    • Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
    • Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

    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 Colona median household income by race. You can refer the same here

  20. N

    Warrensville Heights, OH Median Household Income Trends (2010-2023, in 2023...

    • neilsberg.com
    csv, json
    Updated Mar 3, 2025
    + more versions
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    Neilsberg Research (2025). Warrensville Heights, OH Median Household Income Trends (2010-2023, in 2023 inflation-adjusted dollars) [Dataset]. https://www.neilsberg.com/insights/warrensville-heights-oh-median-household-income/
    Explore at:
    csv, jsonAvailable 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
    Warrensville Heights, Ohio
    Variables measured
    Median Household Income, Median Household Income Year on Year Change, Median Household Income Year on Year Percent Change
    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 presents the median household income from the years 2010 to 2023 following an initial analysis and categorization of the census data. 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 illustrates the median household income in Warrensville Heights, spanning the years from 2010 to 2023, with all figures adjusted to 2023 inflation-adjusted dollars. Based on the latest 2019-2023 5-Year Estimates from the American Community Survey, it displays how income varied over the last decade. The dataset can be utilized to gain insights into median household income trends and explore income variations.

    Key observations:

    From 2010 to 2023, the median household income for Warrensville Heights decreased by $1,970 (3.85%), as per the American Community Survey estimates. In comparison, median household income for the United States increased by $5,602 (7.68%) between 2010 and 2023.

    Analyzing the trend in median household income between the years 2010 and 2023, spanning 13 annual cycles, we observed that median household income, when adjusted for 2023 inflation using the Consumer Price Index retroactive series (R-CPI-U-RS), experienced growth year by year for 4 years and declined for 9 years.

    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2022-inflation-adjusted dollars.

    Years for which data is available:

    • 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 0223

    Variables / Data Columns

    • Year: This column presents the data year from 2010 to 2023
    • Median Household Income: Median household income, in 2023 inflation-adjusted dollars for the specific year
    • YOY Change($): Change in median household income between the current and the previous year, in 2023 inflation-adjusted dollars
    • YOY Change(%): Percent change in median household income between current and the previous year

    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 Warrensville Heights median household income. You can refer the same here

Share
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Email
Click to copy link
Link copied
Close
Cite
Statista (2024). U.S. median household income1970-2020, by income tier [Dataset]. https://www.statista.com/statistics/500385/median-household-income-in-the-us-by-income-tier/
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U.S. median household income1970-2020, by income tier

Explore at:
Dataset updated
Aug 7, 2024
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
United States
Description

This statistic shows the median household income in the United States from 1970 to 2020, by income tier. In 2020, the median household income for the middle class stood at 90,131 U.S. dollars, which was approximately a 50 percent increase from 1970. However, the median income of upper income households in the U.S. increased by almost 70 percent compared to 1970.

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