97 datasets found
  1. T

    Japan Average Cash Earnings YoY

    • tradingeconomics.com
    • fr.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Sep 4, 2025
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    TRADING ECONOMICS (2025). Japan Average Cash Earnings YoY [Dataset]. https://tradingeconomics.com/japan/wage-growth
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    excel, json, xml, csvAvailable download formats
    Dataset updated
    Sep 4, 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
    Jan 31, 1972 - Jul 31, 2025
    Area covered
    Japan
    Description

    Wages in Japan increased 3.40 percent in July of 2025 over the same month in the previous year. This dataset provides - Japan Wage Growth- actual values, historical data, forecast, chart, statistics, economic calendar and news.

  2. F

    Median Household Income in Massachusetts

    • fred.stlouisfed.org
    json
    Updated Sep 9, 2025
    + more versions
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    (2025). Median Household Income in Massachusetts [Dataset]. https://fred.stlouisfed.org/series/MEHOINUSMAA646N
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Sep 9, 2025
    License

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

    Area covered
    Massachusetts
    Description

    Graph and download economic data for Median Household Income in Massachusetts (MEHOINUSMAA646N) from 1984 to 2024 about MA, households, median, income, and USA.

  3. Index of industrial wages in the United States 1785-1988

    • statista.com
    Updated Dec 31, 1993
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    Statista (1993). Index of industrial wages in the United States 1785-1988 [Dataset]. https://www.statista.com/statistics/1315742/us-index-wages-industry-historical/
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    Dataset updated
    Dec 31, 1993
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    Compared to the mid-20th century, wage increases in the United States' industrial sector did not change as drastically over the preceding 150 years. Industrial wages in the 1800s peaked in the final year of the American Civil War in 1865, and they were double the value of wages in 1830; yet wages did not exceed this value until the following century. Throughout the 1900s, however, the increase was much more pronounced; between 1943 and 1955 alone, industrial wages doubled, and quadrupled by 1972. In fact, wages in 1985 were over five times higher than they were in 1955, and ten times higher than in 1943. The only times during the 20th century when industrial wages fell was during the post-WWI recession in 1921, and again during the Great Depression in the 1930s.

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

    • statista.com
    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.

  5. U

    United States Avg Weekly Earnings: sa: PW: Retail Trade

    • ceicdata.com
    Updated Jul 15, 2018
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    CEICdata.com (2018). United States Avg Weekly Earnings: sa: PW: Retail Trade [Dataset]. https://www.ceicdata.com/en/united-states/current-employment-statistics-survey-average-weekly-and-hourly-earnings-production-workers/avg-weekly-earnings-sa-pw-retail-trade
    Explore at:
    Dataset updated
    Jul 15, 2018
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Jul 1, 2017 - Jun 1, 2018
    Area covered
    United States
    Variables measured
    Employment
    Description

    United States Avg Weekly Earnings: sa: PW: Retail Trade data was reported at 484.040 USD in Jun 2018. This records an increase from the previous number of 483.660 USD for May 2018. United States Avg Weekly Earnings: sa: PW: Retail Trade data is updated monthly, averaging 269.655 USD from Jan 1972 (Median) to Jun 2018, with 558 observations. The data reached an all-time high of 484.040 USD in Jun 2018 and a record low of 122.140 USD in Jan 1972. United States Avg Weekly Earnings: sa: PW: Retail Trade data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.G034: Current Employment Statistics Survey: Average Weekly and Hourly Earnings: Production Workers.

  6. F

    Average Hourly Earnings of Production and Nonsupervisory Employees,...

    • fred.stlouisfed.org
    json
    Updated Sep 5, 2025
    + more versions
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    (2025). Average Hourly Earnings of Production and Nonsupervisory Employees, Transportation and Warehousing [Dataset]. https://fred.stlouisfed.org/series/CES4300000008
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Sep 5, 2025
    License

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

    Description

    Graph and download economic data for Average Hourly Earnings of Production and Nonsupervisory Employees, Transportation and Warehousing (CES4300000008) from Jan 1972 to Aug 2025 about nonsupervisory, warehousing, transportation, hours, earnings, establishment survey, wages, production, employment, and USA.

  7. F

    State Minimum Wage Rate for Texas

    • fred.stlouisfed.org
    json
    Updated Jan 1, 2025
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    (2025). State Minimum Wage Rate for Texas [Dataset]. https://fred.stlouisfed.org/series/STTMINWGTX
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jan 1, 2025
    License

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

    Area covered
    Texas
    Description

    Graph and download economic data for State Minimum Wage Rate for Texas (STTMINWGTX) from 1972 to 2025 about minimum wage, wages, TX, rate, and USA.

  8. U

    United States Avg Weekly Earnings: sa: PW: Utilities

    • ceicdata.com
    Updated Jul 15, 2018
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    CEICdata.com (2018). United States Avg Weekly Earnings: sa: PW: Utilities [Dataset]. https://www.ceicdata.com/en/united-states/current-employment-statistics-survey-average-weekly-and-hourly-earnings-production-workers/avg-weekly-earnings-sa-pw-utilities
    Explore at:
    Dataset updated
    Jul 15, 2018
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Jul 1, 2017 - Jun 1, 2018
    Area covered
    United States
    Variables measured
    Employment
    Description

    United States Avg Weekly Earnings: sa: PW: Utilities data was reported at 1,563.060 USD in Jun 2018. This records an increase from the previous number of 1,560.490 USD for May 2018. United States Avg Weekly Earnings: sa: PW: Utilities data is updated monthly, averaging 804.620 USD from Jan 1972 (Median) to Jun 2018, with 558 observations. The data reached an all-time high of 1,575.040 USD in Mar 2018 and a record low of 225.230 USD in Jan 1972. United States Avg Weekly Earnings: sa: PW: Utilities data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.G034: Current Employment Statistics Survey: Average Weekly and Hourly Earnings: Production Workers.

  9. F

    Average Hourly Earnings of Production and Nonsupervisory Employees,...

    • fred.stlouisfed.org
    json
    Updated Sep 5, 2025
    + more versions
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    (2025). Average Hourly Earnings of Production and Nonsupervisory Employees, Utilities [Dataset]. https://fred.stlouisfed.org/series/CES4422000008
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Sep 5, 2025
    License

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

    Description

    Graph and download economic data for Average Hourly Earnings of Production and Nonsupervisory Employees, Utilities (CES4422000008) from Jan 1972 to Aug 2025 about nonsupervisory, utilities, earnings, establishment survey, hours, wages, production, employment, and USA.

  10. N

    Dowagiac, MI annual income distribution by work experience and gender...

    • neilsberg.com
    csv, json
    Updated Feb 27, 2025
    + more versions
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    Neilsberg Research (2025). Dowagiac, MI annual income distribution by work experience and gender dataset: Number of individuals ages 15+ with income, 2023 // 2025 Edition [Dataset]. https://www.neilsberg.com/insights/dowagiac-mi-income-by-gender/
    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
    Michigan, Dowagiac
    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 Dowagiac. The dataset can be utilized to gain insights into gender-based income distribution within the Dowagiac population, aiding in data analysis and decision-making..

    Key observations

    • Employment patterns: Within Dowagiac, among individuals aged 15 years and older with income, there were 1,972 men and 2,297 women in the workforce. Among them, 950 men were engaged in full-time, year-round employment, while 929 women were in full-time, year-round roles.
    • Annual income under $24,999: Of the male population working full-time, 15.26% fell within the income range of under $24,999, while 13.46% of the female population working full-time was represented in the same income bracket.
    • Annual income above $100,000: 18.53% of men in full-time roles earned incomes exceeding $100,000, while 3.66% 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 Dowagiac median household income by race. You can refer the same here

  11. U

    United States Avg Weekly Earnings: sa: PW: Transportation & Warehousing

    • ceicdata.com
    Updated Nov 27, 2021
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    CEICdata.com (2021). United States Avg Weekly Earnings: sa: PW: Transportation & Warehousing [Dataset]. https://www.ceicdata.com/en/united-states/current-employment-statistics-survey-average-weekly-and-hourly-earnings-production-workers/avg-weekly-earnings-sa-pw-transportation--warehousing
    Explore at:
    Dataset updated
    Nov 27, 2021
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Jul 1, 2017 - Jun 1, 2018
    Area covered
    United States
    Variables measured
    Employment
    Description

    United States Avg Weekly Earnings: sa: PW: Transportation & Warehousing data was reported at 836.350 USD in Jun 2018. This records an increase from the previous number of 834.170 USD for May 2018. United States Avg Weekly Earnings: sa: PW: Transportation & Warehousing data is updated monthly, averaging 511.395 USD from Jan 1972 (Median) to Jun 2018, with 558 observations. The data reached an all-time high of 836.740 USD in Apr 2018 and a record low of 213.680 USD in Jan 1972. United States Avg Weekly Earnings: sa: PW: Transportation & Warehousing data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.G034: Current Employment Statistics Survey: Average Weekly and Hourly Earnings: Production Workers.

  12. F

    Average Hourly Earnings of Production and Nonsupervisory Employees, Retail...

    • fred.stlouisfed.org
    json
    Updated Sep 5, 2025
    + more versions
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    (2025). Average Hourly Earnings of Production and Nonsupervisory Employees, Retail Trade [Dataset]. https://fred.stlouisfed.org/series/CEU4200000008
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Sep 5, 2025
    License

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

    Description

    Graph and download economic data for Average Hourly Earnings of Production and Nonsupervisory Employees, Retail Trade (CEU4200000008) from Jan 1972 to Aug 2025 about nonsupervisory, earnings, establishment survey, hours, retail trade, wages, production, sales, retail, employment, and USA.

  13. e

    Family Expenditure Survey, 1972 - Dataset - B2FIND

    • b2find.eudat.eu
    Updated Oct 22, 2023
    + more versions
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    (2023). Family Expenditure Survey, 1972 - Dataset - B2FIND [Dataset]. https://b2find.eudat.eu/dataset/9c5d4937-2ac9-53aa-a901-3d70c554ef4b
    Explore at:
    Dataset updated
    Oct 22, 2023
    Description

    Abstract copyright UK Data Service and data collection copyright owner.The Family Expenditure Survey (FES), which closed in 2001, was a continuous survey with an annual sample of around 10,000 households. They provided information on household and personal incomes, certain payments that recurred regularly (e.g. rent, gas and electricity bills, telephone accounts, insurances, season tickets and hire purchase payments), and maintained a detailed expenditure record for 14 consecutive days. The original purpose of the FES was to provide information on spending patterns for the United Kingdom Retail Price Index (RPI). The survey was a cost-efficient way of collecting a variety of related data that the government departments required to correlate with income and expenditure at the household, tax unit and person levels. The annual FES began in 1957 (with an earlier large scale survey conducted in 1953/54) and was one of the first Department of Employment (DE) systems to be computerised in the early 1960s. The UKDA holds FES data from 1961-2001. The Northern Ireland Family Expenditure Survey (NIFES), which ran from 1967-1998, was identical to the UK FES and therefore used the same questionnaires and documentation. However, starting in 1988, a voluntary question on religious denomination was asked of those aged 16 and over in Northern Ireland. The UKDA holds NIFES data from 1968-1998, under GN 33240. Significant FES developments over time include: 1968: the survey was extended to include a sample drawn from the Northern Ireland FES and a new computer system was introduced which was used until 1985 1986: DE and the Office of Population Censuses and Surveys (OPCS) converted the FES into a new database system using the SIR package 1989: the Central Statistical Office (CSO) took over responsibility for the survey 1994: in April, computerised personal interviewing was introduced using lap-top computers, the database system changed to INGRES and the survey changed from a calendar year to financial year basis 1996: in April, OPCS and CSO were amalgamated into the Office for National Statistics (ONS), who assumed responsibility for the FES 1998: from April onwards information from expenditure diaries kept by children aged 7 to 15 was included in data, and grossing factors were made available on the database From 2001, the both the FES and the National Food Survey (NFS) (held at the UKDA under GN 33071) were completely replaced by a new survey, the Expenditure and Food Survey (EFS). Prior to the advent of the EFS, there had previously been considerable overlap between the FES and NFS, with both surveys asking respondents to keep a diary of expenditure. Thus, the 2000-2001 FES was the final one in the series. The design of the new EFS was based on the previous FES; further background to its development may be found in the 1999-2000 and 2000-2001 Family Spending reports. From 2008, the EFS became the Living Costs and Food Survey (LCF) (see under GN 33334). Main Topics:Household Schedule: This schedule was taken at the main interview. Information for most of the questions was obtained from the head of household or housewife, but certain questions of a more individual character were put to every spender aged 15 or over (or 16 or over from 1973 onwards). Until the introduction of the community charge, information on rateable value and rate poundage was obtained from the appropriate local authority, as was information on whether the address was within a smokeless zone. Information was collected about the household, the sex and age of each member, and also details about the type and size of the household accommodation. The main part of the questionnaire related to expenditure both of a household and individual nature, but the questions were mainly confined to expenses of a recurring nature, e.g.:Household: housing costs, payment to Gas and Electricity Boards or companies, telephone charges, licences and television rentalIndividual: motor vehicles, season tickets for transport, life and accident insurances, payments through a bank, instalments, refund of expenses by employer, expenditure claimed by self-employed persons as business expenses for tax purposes, welfare foods, education grants and feesIncome Schedule: Data were collected for each household spender. The schedule was concerned with income, national insurance contributions and income tax. Income of a child not classed as a spender was obtained from one or other of his parents and entered on the parent's questionnaire. Information collected included: employment status and recent absences from work, earnings of an employee, self-employed earnings, National Insurance contributions, pensions and other regular allowances, occasional benefits - social security benefits and other types, investment income, miscellaneous earnings of a 'once-only' character, tax paid directly to Inland Revenue or refunded, income of a child. Diary Records: The diary covered fourteen days. Each household member aged 15 or over (or 16 or over from 1973 onwards) was asked to record all expenditure made during the 14 days. Children aged between 7 and 15 were also asked to complete simplified diaries of their daily expenditure. Data from the children's diaries was included in the survey results for the first time in 1998-99. Multi-stage stratified random sample For specific details of the sampling procedures for individual years, please refer to the annual report. Face-to-face interview Diaries

  14. N

    Wellston, OH annual income distribution by work experience and gender...

    • neilsberg.com
    csv, json
    Updated Feb 27, 2025
    + more versions
    Share
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    Neilsberg Research (2025). Wellston, OH annual income distribution by work experience and gender dataset: Number of individuals ages 15+ with income, 2023 // 2025 Edition [Dataset]. https://www.neilsberg.com/insights/wellston-oh-income-by-gender/
    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
    Wellston, Ohio
    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 Wellston. The dataset can be utilized to gain insights into gender-based income distribution within the Wellston population, aiding in data analysis and decision-making..

    Key observations

    • Employment patterns: Within Wellston, among individuals aged 15 years and older with income, there were 1,972 men and 2,088 women in the workforce. Among them, 947 men were engaged in full-time, year-round employment, while 834 women were in full-time, year-round roles.
    • Annual income under $24,999: Of the male population working full-time, 7.60% fell within the income range of under $24,999, while 12.23% of the female population working full-time was represented in the same income bracket.
    • Annual income above $100,000: 16.16% of men in full-time roles earned incomes exceeding $100,000, while 1.80% 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 Wellston median household income by race. You can refer the same here

  15. Cao wages, contractual wage costs and working hours;(2010=100), 1972-2023

    • cbs.nl
    • data.overheid.nl
    xml
    Updated Dec 7, 2023
    + more versions
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    Centraal Bureau voor de Statistiek (2023). Cao wages, contractual wage costs and working hours;(2010=100), 1972-2023 [Dataset]. https://www.cbs.nl/en-gb/figures/detail/82838ENG
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    xmlAvailable download formats
    Dataset updated
    Dec 7, 2023
    Dataset provided by
    Statistics Netherlands
    Authors
    Centraal Bureau voor de Statistiek
    License

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

    Area covered
    The Netherlands
    Description

    This table contains index figures of the quantification of the development of the contractual wage, labour costs and working hours of employees in the Netherlands. The table contains index figures on a number of elements contained in the collective labour agreements (in Dutch: cao), namely wages per month and per hour including and excluding special payments, contractual wage costs (per month and per hour) and contractual working hours. In addition, it presents developments calculated on the basis of these indices and the percentage of collective labour agreements completed.

    Data available from: 1972, for the annual figures (up to and including 2009 to a limited extent) and from 2010, for the monthly figures and quarterly figures.

    Status of the figures: All the figures from 1972 to 2022 are definitive. The figures for 2023 are provisional. Because this table is discontinued, figures will not be updated anymore.

    Changes as of 7 December 2023: None, this table is discontinued.

    When will new figures be published? Not applicable anymore.

    This table is replaced by Cao wages, contractual wage costs and working hours; index (2020=100) See paragraph 3.

  16. T

    United States - Average Weekly Earnings of Production and Nonsupervisory...

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Feb 6, 2020
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    TRADING ECONOMICS (2020). United States - Average Weekly Earnings of Production and Nonsupervisory Employees, Utilities [Dataset]. https://tradingeconomics.com/united-states/average-weekly-earnings-of-production-and-nonsupervisory-employees-utilities-dollar-per-week-fed-data.html
    Explore at:
    excel, xml, csv, jsonAvailable download formats
    Dataset updated
    Feb 6, 2020
    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 1, 1976 - Dec 31, 2025
    Area covered
    United States
    Description

    United States - Average Weekly Earnings of Production and Nonsupervisory Employees, Utilities was 1964.82000 $ per Week in April of 2025, according to the United States Federal Reserve. Historically, United States - Average Weekly Earnings of Production and Nonsupervisory Employees, Utilities reached a record high of 2017.81000 in October of 2024 and a record low of 225.91000 in February of 1972. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Average Weekly Earnings of Production and Nonsupervisory Employees, Utilities - last updated from the United States Federal Reserve on September of 2025.

  17. U

    United States Avg Weekly Earnings: sa: PW: Wholesale Trade

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). United States Avg Weekly Earnings: sa: PW: Wholesale Trade [Dataset]. https://www.ceicdata.com/en/united-states/current-employment-statistics-survey-average-weekly-and-hourly-earnings-production-workers/avg-weekly-earnings-sa-pw-wholesale-trade
    Explore at:
    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Jul 1, 2017 - Jun 1, 2018
    Area covered
    United States
    Variables measured
    Employment
    Description

    United States Avg Weekly Earnings: sa: PW: Wholesale Trade data was reported at 989.950 USD in Oct 2018. This records a decrease from the previous number of 991.340 USD for Sep 2018. United States Avg Weekly Earnings: sa: PW: Wholesale Trade data is updated monthly, averaging 512.520 USD from Jan 1972 (Median) to Oct 2018, with 562 observations. The data reached an all-time high of 991.340 USD in Sep 2018 and a record low of 179.100 USD in Jan 1972. United States Avg Weekly Earnings: sa: PW: Wholesale Trade data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.G034: Current Employment Statistics Survey: Average Weekly and Hourly Earnings: Production Workers.

  18. U

    United States Avg Hourly Earnings: sa: PW: Retail Trade

    • ceicdata.com
    Updated Jul 15, 2018
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    CEICdata.com (2018). United States Avg Hourly Earnings: sa: PW: Retail Trade [Dataset]. https://www.ceicdata.com/en/united-states/current-employment-statistics-survey-average-weekly-and-hourly-earnings-production-workers/avg-hourly-earnings-sa-pw-retail-trade
    Explore at:
    Dataset updated
    Jul 15, 2018
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Jul 1, 2017 - Jun 1, 2018
    Area covered
    United States
    Variables measured
    Employment
    Description

    United States Avg Hourly Earnings: sa: PW: Retail Trade data was reported at 15.870 USD in Jun 2018. This records a decrease from the previous number of 15.910 USD for May 2018. United States Avg Hourly Earnings: sa: PW: Retail Trade data is updated monthly, averaging 8.755 USD from Jan 1972 (Median) to Jun 2018, with 558 observations. The data reached an all-time high of 15.910 USD in May 2018 and a record low of 3.460 USD in Jan 1972. United States Avg Hourly Earnings: sa: PW: Retail Trade data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.G034: Current Employment Statistics Survey: Average Weekly and Hourly Earnings: Production Workers.

  19. U

    United States Avg Hourly Earnings: sa: PW: Utilities

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). United States Avg Hourly Earnings: sa: PW: Utilities [Dataset]. https://www.ceicdata.com/en/united-states/current-employment-statistics-survey-average-weekly-and-hourly-earnings-production-workers/avg-hourly-earnings-sa-pw-utilities
    Explore at:
    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Jul 1, 2017 - Jun 1, 2018
    Area covered
    United States
    Variables measured
    Employment
    Description

    United States Avg Hourly Earnings: sa: PW: Utilities data was reported at 36.520 USD in Jun 2018. This records an increase from the previous number of 36.460 USD for May 2018. United States Avg Hourly Earnings: sa: PW: Utilities data is updated monthly, averaging 18.995 USD from Jan 1972 (Median) to Jun 2018, with 558 observations. The data reached an all-time high of 36.800 USD in Mar 2018 and a record low of 5.480 USD in Jan 1972. United States Avg Hourly Earnings: sa: PW: Utilities data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.G034: Current Employment Statistics Survey: Average Weekly and Hourly Earnings: Production Workers.

  20. e

    Database of Irish Historical Statistics : Census of Industrial Production...

    • b2find.eudat.eu
    Updated Apr 7, 2023
    + more versions
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    (2023). Database of Irish Historical Statistics : Census of Industrial Production and Trade Statistics, 1924-1972 - Dataset - B2FIND [Dataset]. https://b2find.eudat.eu/dataset/a5ea8c24-4435-57bf-8479-e18c650cd767
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    Dataset updated
    Apr 7, 2023
    Area covered
    Ireland
    Description

    Abstract copyright UK Data Service and data collection copyright owner.The purpose of the project was to provide machine-readable economic and social history statistics relating to the whole of Ireland for the period 1821-1971. Further information about the project is available on the QUB Centre for Data Digitisation and Analysis website. Main Topics: The dataset contains census of industrial production data covering output, capital employed, wages, persons employed, firm size and location; and trade statistics covering commodities imported and exported and value of trade between countries. All the relevant background material is incorporated either in the documentation files or in the scanned images of the tables of contents, prefaces, and notes in the original source. The main census of industrial production tables are: Gross value of output, cost of materials, total net output, salaries, wages, remainder of net output, and number of persons engaged for each industry or trade (1926, 1929, 1932-1971) Republic of Ireland only. Value of industrial commodities for each industry or trade (1926, 1929, 1932-1947) Republic of Ireland only. Value of stocks of materials, work in progress, stocks of goods made by the establishment, and stocks of goods purchased for resale without further processing for each industry or trade (1953-1963 and 1966-1971) Republic of Ireland only. Value of stocks of materials, work in progress, stocks of goods made by the establishment, plant and machinery, and building and land for each industry or trade (1953-1963 and 1966-1971) Republic of Ireland. Annual change in value of fixed capital in each year including cost of plant, machinery and vehicles, cost of new buildings including extensions and substantial alterations, cost of land and other fixed assets, value of sales of plant and machinery, value of sales of vehicles, value of sales of land and buildings for each industry or trade (1945-1954, 1956-1965 and 1968-1971) Republic of Ireland only. Value of various fuels consumed by each industry and trades (1926, 1929 and 1932-1947) Republic of Ireland only. Total number of proprietors, salaried employees, industrial wage earners, other wage earners for each industry or trade, grouped by gender and age under or over 18 (1926, 1929, 1932-1947) Republic of Ireland only. Wage rates both for salaried employees and wage earners for each industry or trade (1926, 1929, 1936-1947) Republic of Ireland only. Average earnings per week and average hours worked by week for each industry or trade, grouped by gender and age under or over 18 (1937-1944, 1958-1967 and 1969-1971) Republic of Ireland only. Number of wage earners for each industry or trade grouped by wage rate and gender(1937, 1958-1967) Republic of Ireland only. Number of wage earners for each industry or trade grouped by wage rate and age under or over 18 (1938-1944) Republic of Ireland only. Size of labour force in firms for each industry or trade (1929, 1935-1938 and 1944-1947) Republic of Ireland only. Number of firms, gross output excluding excise duty, net output, and average number of persons engaged grouped by county for each industry or trade (1936-1947) Republic of Ireland only. Value of sales and work done, value of stocks of finished products and work in progress at beginning and end of year, cost of outward transport of goods sold, gross output, net output, persons employed, output per person employed, costs of purchases of materials and fuel, stocks of materials and fuels at beginning and end of year, cost of inward transport of materials and fuels used, and amount paid for work given out for each industry or trade (1951-1957) Northern Ireland only. Gross output, sales, purchases of materials and fuels, net output, net output per person, persons employed, and wages and salaries paid for each industry or trade (1963 and 1968-1972) Northern Ireland only. Gross output, cost of materials and amount paid to other firms for work given out, cost of inward transport, net output, persons employed, and output per person employed for each industry or trade (1930, 1935 and 1949-1968) Northern Ireland only. Number of working proprietors and directors, number of administrative, technical and clerical staff, number of operatives, salaries of administrative, technical and clerical staff, earnings of operatives for each industry or trade (1949-1972) Northern Ireland only. Value of plant and machinery and plant acquired during the year, value of vehicles acquired during year, capital expenditure on new buildings, disposal of plant, machinery and vehicles for each industry or trade (1949-1968) Northern Ireland only New building work, land and existing buildings, plant and machinery, vehicles, total disposals, net capital expenditure, change during the year, goods on hand for sale at end of year, work in progress at end of year, materials and fuels at end of year vehicles for each industry or trade (1963 and 1968-1972) Northern Ireland only. Number of firms, gross output, net output, number of persons engaged, expenditure on wages and salaries and net capital expenditure grouped by county for each industry or trade (1955-1958 and 1968) Northern Ireland only. Gross output, net output and persons engaged grouped by county (1935, 1949-1951, 1954, 1958, 1963 and 1968) Northern Ireland only. Number of firms, gross output, net output, number of persons engaged grouped by firm size for each industry or trade (1955-1958 and 1968) Northern Ireland only. Cost and quantity of various fuels consumed by different industries and trades (1935, 1951, 1956, 1963 and 1968-1972) Northern Ireland only. The main trade statistics tables are: Value of imports, exports and re-exports grouped by commodity (1931-1971) Republic of Ireland only. Value of imports, exports and re-exports grouped by country of origin or destination (1931-1971) Republic of Ireland only. Value of imports and exports grouped by commodity (1924-1971) Northern Ireland only. Value of imports and exports grouped by country of origin or destination (1936-1938, 1943-1945, 1956-1958, 1960-1962, 1966-1971) Northern Ireland only. Please note: this study does not include information on named individuals and would therefore not be useful for personal family history research.

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TRADING ECONOMICS (2025). Japan Average Cash Earnings YoY [Dataset]. https://tradingeconomics.com/japan/wage-growth

Japan Average Cash Earnings YoY

Japan Average Cash Earnings YoY - Historical Dataset (1972-01-31/2025-07-31)

Explore at:
excel, json, xml, csvAvailable download formats
Dataset updated
Sep 4, 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
Jan 31, 1972 - Jul 31, 2025
Area covered
Japan
Description

Wages in Japan increased 3.40 percent in July of 2025 over the same month in the previous year. This dataset provides - Japan Wage Growth- actual values, historical data, forecast, chart, statistics, economic calendar and news.

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