62 datasets found
  1. U.S. number of minimum wage workers 2023, by race and ethnicity

    • statista.com
    Updated Aug 14, 2024
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    Statista (2024). U.S. number of minimum wage workers 2023, by race and ethnicity [Dataset]. https://www.statista.com/statistics/298873/number-of-workers-with-earnings-at-or-below-min-wage-in-the-us-by-ethnicity/
    Explore at:
    Dataset updated
    Aug 14, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United States
    Description

    This statistic shows the number of workers paid hourly rates at or below prevailing federal minimum wage in the United States in 2023, by race or ethnicity. In 2023, about 666,000 white people were paid at or below the federal minimum wage.

  2. U.S. percentage distribution of low wage workers 2023, by age

    • statista.com
    Updated Sep 12, 2024
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    Statista (2024). U.S. percentage distribution of low wage workers 2023, by age [Dataset]. https://www.statista.com/statistics/298866/percentage-of-low-wage-workers-in-the-us-by-age/
    Explore at:
    Dataset updated
    Sep 12, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United States
    Description

    This statistic shows the percentage distribution of workers paid hourly rates at or below prevailing federal minimum wage in the United States in 2023, by their age group. In 2023, around 44.4 percent of wage and salary workers paid hourly rates at or below the federal minimum wage were aged between 16 and 24 years.

  3. F

    Employed: Percent of hourly paid workers: Paid total at or below prevailing...

    • fred.stlouisfed.org
    json
    Updated Jan 22, 2025
    + more versions
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    (2025). Employed: Percent of hourly paid workers: Paid total at or below prevailing federal minimum wage: Wage and salary workers: 16 years and over [Dataset]. https://fred.stlouisfed.org/series/LEU0203127200A
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jan 22, 2025
    License

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

    Description

    Graph and download economic data for Employed: Percent of hourly paid workers: Paid total at or below prevailing federal minimum wage: Wage and salary workers: 16 years and over (LEU0203127200A) from 1979 to 2024 about paid, minimum wage, salaries, workers, hours, 16 years +, federal, wages, percent, employment, and USA.

  4. U.S. workers paid hourly rates at or below minimum wage 2023, by race or...

    • statista.com
    Updated Sep 12, 2024
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    Statista (2024). U.S. workers paid hourly rates at or below minimum wage 2023, by race or ethnicity [Dataset]. https://www.statista.com/statistics/298869/percentage-of-low-wage-workers-in-the-us-by-ethnicity/
    Explore at:
    Dataset updated
    Sep 12, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United States
    Description

    This statistic shows the percentage distribution of workers paid hourly rates at or below prevailing federal minimum wage in the United States in 2023, by their race or ethnicity. In 2023, around 76.6 percent of the people who were paid hourly rates at or below the prevailing federal minimum wage in the U.S. were white.

  5. o

    Low-wage Atlas

    • openicpsr.org
    Updated Sep 6, 2018
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    Virginia Parks (2018). Low-wage Atlas [Dataset]. http://doi.org/10.3886/E105864V1
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    Dataset updated
    Sep 6, 2018
    Dataset provided by
    UC Irvine
    Authors
    Virginia Parks
    License

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

    Area covered
    United States by state
    Description

    SAS code used to produce descriptive statistics for Low-wage Atlas. These include demographics of low-wage workers by state. Program is run on American Community Survey 1% sample data.

  6. Hourly wages needed to afford a two-bedroom apartment in the U.S. 2024, by...

    • statista.com
    Updated Apr 3, 2025
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    Statista Research Department (2025). Hourly wages needed to afford a two-bedroom apartment in the U.S. 2024, by state [Dataset]. https://www.statista.com/topics/5920/minimum-wage-in-the-united-states/
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    Dataset updated
    Apr 3, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Area covered
    United States
    Description

    In 2024, households in California needed an hourly wage of over 47 U.S. dollars to afford the rent of a two-bedroom apartment. Massachusetts had the second-least affordable two-bedroom apartments, as a household would have to earn at least around 45 U.S. dollars per hour in order to afford rent payments. These figures are considerably higher than the average minimum wage in place in many states. There was no state in which a minimum wage worker could afford rent for the average two-bedroom apartment, if they only worked 40 hours a week. Where are the least affordable counties and metros? The least affordable rents were predominately in Californian counties and metropolitan areas in 2024. District of Columbia has one of the highest minimum wages in the country, which stood at 17 U.S. dollars per hour as of January 2024. Thus, the affordability of two-bedroom apartments highlights how disproportionately high housing costs are in the state.

  7. F

    Employed: Percent of hourly paid workers: Paid total at or below prevailing...

    • fred.stlouisfed.org
    json
    Updated Jan 22, 2025
    + more versions
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    (2025). Employed: Percent of hourly paid workers: Paid total at or below prevailing federal minimum wage: Private wage and salary workers: Transportation and warehousing industries: 16 years and over [Dataset]. https://fred.stlouisfed.org/series/LEU0204865800A
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jan 22, 2025
    License

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

    Description

    Graph and download economic data for Employed: Percent of hourly paid workers: Paid total at or below prevailing federal minimum wage: Private wage and salary workers: Transportation and warehousing industries: 16 years and over (LEU0204865800A) from 2000 to 2024 about paid, warehousing, minimum wage, transportation, salaries, workers, hours, percent, 16 years +, federal, wages, private, employment, industry, and USA.

  8. U.S. percentage of minimum wage workers 2023, by state

    • statista.com
    Updated Jun 25, 2025
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    Statista (2025). U.S. percentage of minimum wage workers 2023, by state [Dataset]. https://www.statista.com/statistics/635009/us-minimum-wage-workers-by-state/
    Explore at:
    Dataset updated
    Jun 25, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United States
    Description

    In 2023, around *** percent of hourly wage workers in Rhode Island earned wages at or below the federal minimum wage. This was the highest share of any U.S. state, followed by the District of Columbia with *** percent of hourly wage workers making minimum wage or less.

  9. H

    PROSPERED Dataset: Minimum wage policy

    • dataverse.harvard.edu
    • dataone.org
    pdf, tsv
    Updated Jan 7, 2020
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    Harvard Dataverse (2020). PROSPERED Dataset: Minimum wage policy [Dataset]. http://doi.org/10.7910/DVN/MCW60Q
    Explore at:
    pdf(123860), tsv(30886)Available download formats
    Dataset updated
    Jan 7, 2020
    Dataset provided by
    Harvard Dataverse
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1999 - Jan 1, 2013
    Dataset funded by
    Canadian Institutes of Health Research
    Description

    This dataset captures whether a minimum wage policy exists in a country and quantifies the monthly minimum wage level over time. The minimum wages recorded in this database apply only to private sector workers, unless it is stipulated in the sources that private sector minimum wages cannot be lower than public sector minimum wages. One exception is self-declared socialist economies where the government/public sector has traditionally been one of the largest employers; in this case, we recorded minimum wage levels for the public sector. In countries where the minimum wage is sector-specific or occupation-specific, we captured the minimum wage level applicable to either the manufacturing sector or unskilled workers. Scope: Longitudinal data is available for every year between 1995 and 2013 for the 121 countries that have been surveyed by either the Demographic and Health Surveys (DHS) or the Multiple Indicator Cluster Surveys (MICS) at least once between those dates.

  10. f

    Minimum wage law and weekly hours.

    • plos.figshare.com
    xls
    Updated Jun 4, 2023
    + more versions
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    Maoyong Fan; Anita Alves Pena (2023). Minimum wage law and weekly hours. [Dataset]. http://doi.org/10.1371/journal.pone.0221935.t003
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 4, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Maoyong Fan; Anita Alves Pena
    License

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

    Description

    Minimum wage law and weekly hours.

  11. U.S. number of minimum wage workers 2023, by occupation

    • statista.com
    Updated Jun 25, 2025
    + more versions
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    Statista (2025). U.S. number of minimum wage workers 2023, by occupation [Dataset]. https://www.statista.com/statistics/299329/us-minimum-wage-workers-by-occupation/
    Explore at:
    Dataset updated
    Jun 25, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United States
    Description

    In 2023, about ****** people in sales and related occupations were receiving earnings at or below the federal minimum wage. The occupation with the largest population of minimum wageworkers were food preparation and serving related occupations with around ******* employees earning minimum wage or lower.

  12. T

    Japan Minimum Hourly Wages

    • tradingeconomics.com
    • it.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS, Japan Minimum Hourly Wages [Dataset]. https://tradingeconomics.com/japan/minimum-wages
    Explore at:
    excel, csv, xml, jsonAvailable 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
    Oct 1, 2002 - Oct 1, 2024
    Area covered
    Japan
    Description

    Minimum Wages in Japan increased to 1054 JPY/Hour in 2024 from 1002 JPY/Hour in 2023. This dataset provides - Japan Minimum Wages- actual values, historical data, forecast, chart, statistics, economic calendar and news.

  13. G

    Total employees by hourly wage, firm size, and industry (NAICS), Alberta...

    • open.canada.ca
    • datasets.ai
    • +1more
    html
    Updated Jul 24, 2024
    + more versions
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    Government of Alberta (2024). Total employees by hourly wage, firm size, and industry (NAICS), Alberta population centres and rural areas (annual average) (2004-2014) [Dataset]. https://open.canada.ca/data/dataset/b11d7eff-ebb2-4dc3-a7d9-8d5fe47b8f8e
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Jul 24, 2024
    Dataset provided by
    Government of Alberta
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Time period covered
    Jan 1, 2004 - Dec 31, 2014
    Area covered
    Alberta
    Description

    This dataset is a customization of Statistics Canada data to present information on Alberta hourly wage distributions of employees by firm size , Industry using North American Industry Classification System (NAICS) 2007 (2 and 3 digits), and population centres and rural areas using annual averages from 2004 to 2014.

  14. T

    Philippines Daily Minimum Wages

    • tradingeconomics.com
    • pt.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Apr 4, 2019
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    TRADING ECONOMICS (2019). Philippines Daily Minimum Wages [Dataset]. https://tradingeconomics.com/philippines/minimum-wages
    Explore at:
    json, xml, csv, excelAvailable download formats
    Dataset updated
    Apr 4, 2019
    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
    Jul 1, 1989 - Jan 31, 2025
    Area covered
    Philippines
    Description

    Minimum Wages in Philippines remained unchanged at 645 PHP/day in 2025 from 645 PHP/day in 2024. This dataset provides - Philippines Minimum Wages- actual values, historical data, forecast, chart, statistics, economic calendar and news.

  15. f

    Minimum wage law and hourly wage, bonus, and weekly hours (NAWS-California)....

    • figshare.com
    • plos.figshare.com
    xls
    Updated Jun 1, 2023
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    Maoyong Fan; Anita Alves Pena (2023). Minimum wage law and hourly wage, bonus, and weekly hours (NAWS-California). [Dataset]. http://doi.org/10.1371/journal.pone.0221935.t005
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Maoyong Fan; Anita Alves Pena
    License

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

    Description

    Minimum wage law and hourly wage, bonus, and weekly hours (NAWS-California).

  16. H

    Data from: Occupation, Earnings and Expenditure of the Daily Wage-based and...

    • dataverse.harvard.edu
    Updated Jul 2, 2021
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    Harvard Dataverse (2021). Occupation, Earnings and Expenditure of the Daily Wage-based and Salaried Workforce in Farm and Nonfarm Sectors: Data from Bangladesh [Dataset]. https://dataverse.harvard.edu/dataset.xhtml?persistentId=hdl:11529/10548580
    Explore at:
    tsv(6865), application/x-stata-syntax(9764)Available download formats
    Dataset updated
    Jul 2, 2021
    Dataset provided by
    Harvard Dataverse
    Time period covered
    Apr 1, 2016 - Mar 1, 2017
    Area covered
    Bangladesh, Bangladesh, Bangladesh, Bangladesh, Bangladesh, Bangladesh, Bangladesh, Bangladesh
    Dataset funded by
    CRP Maize
    CRP Wheat
    Description

    At present nearly half of the world’s population is under some form of government restriction to curb the spread of COVID-19, an extremely contagious disease. In Bangladesh, in the wake of five deaths and 48 infections from COVID-19, between March 24 and May 30, 2020 the government imposed a nationwide lockdown. While this lockdown restricted the spread of COVID-19, in the absence of effective support, it can generate severe food and nutrition insecurity for daily wage-based workers. Of the 61 million employed labor force in Bangladesh, nearly 35% of them are paid on a daily basis. This study examines the food security and welfare impacts of the COVID-19 induced lockdown on daily wage workers both in the farm and nonfarm sectors in Bangladesh. Using information from more than 50,000 respondents complied from 2016-17 Household Income and Expenditure Survey (HIES) in Bangladesh, this study estimates daily wage rates as Bangladesh Taka (BDT) 272.2 in the farm sector and BDT 361.5 in the nonfarm sector. Using the estimated daily wages earnings, this study estimates that a one-day complete lockdown generates a US$64.2 million equivalent economic loss only considering the wage loss of the daily wage workers. After estimating the daily per capita food expenditure separately for farm and nonfarm households, this study estimates a minimum compensation package for the daily wage-based farm and nonfarm households around US $ 1 per day per household to ensure minimum food security for the daily wage-based worker households.

  17. N

    Low Moor, IA annual median income by work experience and sex dataset: Aged...

    • neilsberg.com
    csv, json
    Updated Feb 27, 2025
    + more versions
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    Neilsberg Research (2025). Low Moor, IA annual median income by work experience and sex dataset: Aged 15+, 2010-2023 (in 2023 inflation-adjusted dollars) // 2025 Edition [Dataset]. https://www.neilsberg.com/insights/low-moor-ia-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
    Iowa, Low Moor
    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
    Measurement technique
    The data presented in this dataset is derived from the U.S. Census Bureau American Community Survey (ACS) 5-Year Estimates. The dataset covers the years 2010 to 2023, representing 14 years of data. To analyze income differences between genders (male and female), we conducted an initial data analysis and categorization. Subsequently, we adjusted these figures for inflation using the Consumer Price Index retroactive series (R-CPI-U-RS) based on current methodologies. 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 median income data over a decade or more for males and females categorized by Total, Full-Time Year-Round (FT), and Part-Time (PT) employment in Low Moor. It showcases annual income, providing insights into gender-specific income distributions and the disparities between full-time and part-time work. The dataset can be utilized to gain insights into gender-based pay disparity trends and explore the variations in income for male and female individuals.

    Key observations: Insights from 2023

    Based on our analysis ACS 2019-2023 5-Year Estimates, we present the following observations: - All workers, aged 15 years and older: In Low Moor, the median income for all workers aged 15 years and older, regardless of work hours, was $49,018 for males and $31,250 for females.

    These income figures highlight a substantial gender-based income gap in Low Moor. Women, regardless of work hours, earn 64 cents for each dollar earned by men. This significant gender pay gap, approximately 36%, underscores concerning gender-based income inequality in the city of Low Moor.

    - Full-time workers, aged 15 years and older: In Low Moor, among full-time, year-round workers aged 15 years and older, males earned a median income of $56,250, while females earned $44,375, leading to a 21% gender pay gap among full-time workers. This illustrates that women earn 79 cents for each dollar earned by men in full-time roles. This analysis indicates a widening gender pay gap, showing a substantial income disparity where women, despite working full-time, face a more significant wage discrepancy compared to men in the same roles.

    Surprisingly, the gender pay gap percentage was higher across all roles, including non-full-time employment, for women compared to men. This suggests that full-time employment offers a more equitable income scenario for women compared to other employment patterns in Low Moor.

    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 2023-inflation-adjusted dollars.

    Gender classifications include:

    • Male
    • Female

    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.

    Variables / Data Columns

    • Year: This column presents the data year. Expected values are 2010 to 2023
    • Male Total Income: Annual median income, for males regardless of work hours
    • Male FT Income: Annual median income, for males working full time, year-round
    • Male PT Income: Annual median income, for males working part time
    • Female Total Income: Annual median income, for females regardless of work hours
    • Female FT Income: Annual median income, for females working full time, year-round
    • Female PT Income: Annual median income, for females working part time

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

  18. s

    Data from: Employment by occupation

    • ethnicity-facts-figures.service.gov.uk
    csv
    Updated Jul 27, 2022
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    Race Disparity Unit (2022). Employment by occupation [Dataset]. https://www.ethnicity-facts-figures.service.gov.uk/work-pay-and-benefits/employment/employment-by-occupation/latest
    Explore at:
    csv(309 KB)Available download formats
    Dataset updated
    Jul 27, 2022
    Dataset authored and provided by
    Race Disparity Unit
    License

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

    Area covered
    United Kingdom
    Description

    39.8% of workers from the Indian ethnic group were in 'professional' jobs in 2021 – the highest percentage out of all ethnic groups in this role.

  19. f

    Data from: Skill prices and compositional effects on the declining wage...

    • scielo.figshare.com
    tiff
    Updated Jun 6, 2023
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    Paul Garcia Hinojosa (2023). Skill prices and compositional effects on the declining wage inequality in Latin America: Evidence from Brazil [Dataset]. http://doi.org/10.6084/m9.figshare.19928026.v1
    Explore at:
    tiffAvailable download formats
    Dataset updated
    Jun 6, 2023
    Dataset provided by
    SciELO journals
    Authors
    Paul Garcia Hinojosa
    License

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

    Area covered
    Latin America, Brazil
    Description

    Abstract This paper studies potential explanations of the declining wage inequality in Brazil such as changes in demographic/skill composition, wage structure, occupations/sectors and minimum wage. I perform a wage inequality decomposition to quantify composition and price effects and use a CES production function to estimate the effects of the skill supply on relative wages. I find that the fall in upper-tail inequality is driven by changes in the returns to education and experience, while that in lower-tail inequality is also given by those to minimum wage and female workers. These patterns are consistent with the decline in relative wages between skill groups which are given by the increase in both the supply of skills and the real minimum wage.

  20. T

    Bangladesh Minimum Wages

    • tradingeconomics.com
    • it.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Apr 25, 2024
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    TRADING ECONOMICS (2024). Bangladesh Minimum Wages [Dataset]. https://tradingeconomics.com/bangladesh/minimum-wages
    Explore at:
    json, csv, xml, excelAvailable download formats
    Dataset updated
    Apr 25, 2024
    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, 2014 - Dec 31, 2025
    Area covered
    Bangladesh
    Description

    Minimum Wages in Bangladesh remained unchanged at 12500 BDT/Month in 2025 from 12500 BDT/Month in 2024. This dataset provides - Bangladesh Minimum Wages- actual values, historical data, forecast, chart, statistics, economic calendar and news.

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Statista (2024). U.S. number of minimum wage workers 2023, by race and ethnicity [Dataset]. https://www.statista.com/statistics/298873/number-of-workers-with-earnings-at-or-below-min-wage-in-the-us-by-ethnicity/
Organization logo

U.S. number of minimum wage workers 2023, by race and ethnicity

Explore at:
Dataset updated
Aug 14, 2024
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
2023
Area covered
United States
Description

This statistic shows the number of workers paid hourly rates at or below prevailing federal minimum wage in the United States in 2023, by race or ethnicity. In 2023, about 666,000 white people were paid at or below the federal minimum wage.

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