100+ datasets found
  1. F

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

    • fred.stlouisfed.org
    json
    Updated Jan 22, 2025
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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: Retail trade industries: 16 years and over [Dataset]. https://fred.stlouisfed.org/series/LEU0204865600A
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    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: Retail trade industries: 16 years and over (LEU0204865600A) from 2000 to 2024 about paid, minimum wage, salaries, workers, hours, retail trade, 16 years +, federal, wages, percent, sales, retail, private, employment, industry, and USA.

  2. IT spend as share of revenue worldwide 2022-2023, by industry

    • statista.com
    Updated Jun 14, 2024
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    Statista (2024). IT spend as share of revenue worldwide 2022-2023, by industry [Dataset]. https://www.statista.com/statistics/1105798/it-spending-share-revenue-by-industry/
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    Dataset updated
    Jun 14, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    In 2023, software and tech hosting/cloud services/MSP companies had a much higher spending share on IT than other industries, amounting to 19 percent and 16 percent of their revenues, respectively. By contrast, the consumer products and services industry invested only around five percent of their revenue in IT. Overall, all industries increased their IT spending per revenue share in 2023 compared to the previous year.

    Cloud computing

    Cloud computing is an essential IT service that utilizes a network of distant servers hosted over the Internet to store, handle, and process data. This segment of IT services was projected to generate revenues exceeding 670 billion U.S. dollars in 2024 and is expected to continue its rapid growth trajectory. Managed Services Providers (MSPs) provide companies with the expertise and technical support to manage their cloud infrastructure and products without the need for in-house specialists. Cloud computing is segmented into three main categories.

    Software as a Service (SaaS) delivers software applications over the Internet, on a subscription basis, freeing companies from software and hardware management. Infrastructure as a Service (IaaS) offers a virtualized computing infrastructure managed over the Internet, allowing businesses to avoid the costs and complexities of purchasing and managing physical servers and data center infrastructure. Platform as a Service (PaaS) provides a platform allowing customers to develop, run, and manage applications without the complexity of building and maintaining the infrastructure.

  3. Synthetic materials industry salary share in revenue in Germany 2020-2022

    • statista.com
    Updated Feb 21, 2025
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    Statista (2025). Synthetic materials industry salary share in revenue in Germany 2020-2022 [Dataset]. https://www.statista.com/statistics/1558667/synthetic-materials-industry-salary-share-in-revenue-germany/
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    Dataset updated
    Feb 21, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Germany
    Description

    The revenue share of wages and salaries in the synthetic materlias industry in Germany was at around 17 percent in 2022. This was a decrease compared to previous years. Worldwide, synthetic materials production is predicted to increase in 2025.

  4. F

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

    • fred.stlouisfed.org
    json
    Updated Jan 22, 2025
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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: Wholesale and retail trade industries: 16 years and over [Dataset]. https://fred.stlouisfed.org/series/LEU0204865400A
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    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: Wholesale and retail trade industries: 16 years and over (LEU0204865400A) from 2000 to 2024 about paid, wholesale, minimum wage, salaries, workers, hours, retail trade, 16 years +, federal, wages, percent, sales, retail, private, employment, industry, and USA.

  5. F

    Employed: Workers paid hourly rates: Wage and salary workers: Sales and...

    • fred.stlouisfed.org
    json
    Updated Jan 22, 2025
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    (2025). Employed: Workers paid hourly rates: Wage and salary workers: Sales and office occupations: 16 years and over [Dataset]. https://fred.stlouisfed.org/series/LEU0204836100A
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    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: Workers paid hourly rates: Wage and salary workers: Sales and office occupations: 16 years and over (LEU0204836100A) from 2000 to 2024 about paid, occupation, salaries, workers, hours, 16 years +, wages, sales, employment, rate, and USA.

  6. U.S. wage and salary accruals 2023, by industry

    • statista.com
    Updated Oct 15, 2024
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    U.S. wage and salary accruals 2023, by industry [Dataset]. https://www.statista.com/statistics/243834/annual-mean-wages-and-salary-per-employee-in-the-us-by-industry/
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    Dataset updated
    Oct 15, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United States
    Description

    In 2023, the average wage and salary per full-time equivalent employee in the mining industry in the United States was at 126,707 U.S. dollars. The highest wage and salary per FTE was found in the information industry, at 164,400 U.S. dollars.

  7. F

    Personal Sector; Personal Saving (FOF Concept; FOF Data) as a Percentage of...

    • fred.stlouisfed.org
    json
    Updated Mar 13, 2025
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    (2025). Personal Sector; Personal Saving (FOF Concept; FOF Data) as a Percentage of Disposable Personal Income, Transactions [Dataset]. https://fred.stlouisfed.org/series/BOGZ1FA176007026Q
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    jsonAvailable download formats
    Dataset updated
    Mar 13, 2025
    License

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

    Description

    Graph and download economic data for Personal Sector; Personal Saving (FOF Concept; FOF Data) as a Percentage of Disposable Personal Income, Transactions (BOGZ1FA176007026Q) from Q4 1946 to Q4 2024 about disposable, savings, transactions, sector, personal income, percent, personal, income, and USA.

  8. Noninterest income as a share of total assets of the U.S. banking industry...

    • statista.com
    Updated Nov 19, 2024
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    Statista (2024). Noninterest income as a share of total assets of the U.S. banking industry 2015-2026 [Dataset]. https://www.statista.com/statistics/1500566/us-noninterest-income-forecast/
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    Dataset updated
    Nov 19, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The U.S. banking industry's noninterest income as a percentage of average assets is estimated to increase to 1.48 percent in 2025, marking the highest level since 2019. This expected peak would follow a period of lower noninterest income between 2020 and 2024, with the lowest value measured in 2022 at 1.23 percent. However, this metric has seen a notable increase in 2023, rising to 1.3 percent, pointing to a steady recovery in banks' ability to generate revenue from sources beyond net interest income.

  9. F

    Revenue from Governments for Publishing Industries (Except Internet),...

    • fred.stlouisfed.org
    json
    Updated Mar 13, 2025
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    (2025). Revenue from Governments for Publishing Industries (Except Internet), Establishments Subject to Federal Income Tax [Dataset]. https://fred.stlouisfed.org/series/GOV511TAXABL157QNSA
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    jsonAvailable download formats
    Dataset updated
    Mar 13, 2025
    License

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

    Description

    Graph and download economic data for Revenue from Governments for Publishing Industries (Except Internet), Establishments Subject to Federal Income Tax (GOV511TAXABL157QNSA) from Q4 2006 to Q4 2024 about internet, printing, revenue, establishments, tax, federal, government, income, industry, rate, and USA.

  10. F

    Personal Sector; Difference Between FOF and NIPA Personal Saving Excluding...

    • fred.stlouisfed.org
    json
    Updated Mar 13, 2025
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    (2025). Personal Sector; Difference Between FOF and NIPA Personal Saving Excluding Consumer Durables as a Percentage of Disposable Personal Income, Transactions [Dataset]. https://fred.stlouisfed.org/series/BOGZ1FU176007086A
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    jsonAvailable download formats
    Dataset updated
    Mar 13, 2025
    License

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

    Description

    Graph and download economic data for Personal Sector; Difference Between FOF and NIPA Personal Saving Excluding Consumer Durables as a Percentage of Disposable Personal Income, Transactions (BOGZ1FU176007086A) from 1946 to 2024 about disposable, savings, transactions, sector, durable goods, personal income, percent, personal, goods, income, and USA.

  11. Labour income share, economic activity; National Accounts 1995-2022

    • cbs.nl
    • data.overheid.nl
    xml
    Updated Jun 24, 2024
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    Centraal Bureau voor de Statistiek (2024). Labour income share, economic activity; National Accounts 1995-2022 [Dataset]. https://www.cbs.nl/en-gb/figures/detail/84178ENG
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    xmlAvailable download formats
    Dataset updated
    Jun 24, 2024
    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

    Time period covered
    1995 - 2022
    Area covered
    The Netherlands
    Description

    This table presents data on the labour income share and the components used to calculate it. The labour income share is a measure of the distribution of earned income between providers of labour (employees and the self-employed) and providers of capital.

    Data available from: 1995.

    Status of the figures: Data from 1995 up to and including 2020 are final. Data of 2021 and 2022 are provisional. Since this table has been discontinued, provisional data will not become final.

    Changes as of June 24th 2024: None. This table has been discontinued. Statistics Netherlands has carried out a revision of the national accounts. The Dutch national accounts are recently revised. New statistical sources, methods and concepts are implemented in the national accounts, in order to align the picture of the Dutch economy with all underlying source data and international guidelines for the compilation of the national accounts. For further information see section 3.

    When will new figures be published? Not applicable anymore.

  12. F

    Revenue from Households for Motion Picture and Sound Recording Industries,...

    • fred.stlouisfed.org
    json
    Updated Mar 13, 2025
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    (2025). Revenue from Households for Motion Picture and Sound Recording Industries, Establishments Subject to Federal Income Tax [Dataset]. https://fred.stlouisfed.org/series/HHD512TAXABL157QNSA
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Mar 13, 2025
    License

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

    Description

    Graph and download economic data for Revenue from Households for Motion Picture and Sound Recording Industries, Establishments Subject to Federal Income Tax (HHD512TAXABL157QNSA) from Q1 2004 to Q4 2024 about recording, audio-visual, revenue, establishments, tax, federal, households, income, industry, rate, and USA.

  13. I

    India IHIS: Percentage of Revenue: Five-Star: Net Income

    • ceicdata.com
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    CEICdata.com, India IHIS: Percentage of Revenue: Five-Star: Net Income [Dataset]. https://www.ceicdata.com/en/india/indian-hotel-industry-survey-financial-performance-revenue-by-hotel-ratings/ihis-percentage-of-revenue-fivestar-net-income
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    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
    Mar 1, 2006 - Mar 1, 2017
    Area covered
    India
    Variables measured
    Accomodation Statistics
    Description

    India IHIS: Percentage of Revenue: Five-Star: Net Income data was reported at 31.700 % in 2017. This records an increase from the previous number of 30.200 % for 2016. India IHIS: Percentage of Revenue: Five-Star: Net Income data is updated yearly, averaging 34.650 % from Mar 2000 (Median) to 2017, with 18 observations. The data reached an all-time high of 47.000 % in 2007 and a record low of 20.100 % in 2002. India IHIS: Percentage of Revenue: Five-Star: Net Income data remains active status in CEIC and is reported by Federation of Hotel & Restaurant Associations of India. The data is categorized under India Premium Database’s Hotel Sector – Table IN.QHF002: Indian Hotel Industry Survey: Financial Performance: Revenue: by Hotel Ratings.

  14. F

    Revenue from Businesses for Publishing Industries (Except Internet),...

    • fred.stlouisfed.org
    json
    Updated Feb 21, 2025
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    (2025). Revenue from Businesses for Publishing Industries (Except Internet), Establishments Subject to Federal Income Tax [Dataset]. https://fred.stlouisfed.org/series/BUS511TAXABL157QNSA
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Feb 21, 2025
    License

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

    Description

    Graph and download economic data for Revenue from Businesses for Publishing Industries (Except Internet), Establishments Subject to Federal Income Tax (BUS511TAXABL157QNSA) from Q4 2006 to Q3 2024 about internet, printing, revenue, establishments, tax, federal, business, income, industry, rate, and USA.

  15. Employee wages by industry, annual

    • www150.statcan.gc.ca
    • open.canada.ca
    • +2more
    Updated Jan 24, 2025
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    Government of Canada, Statistics Canada (2025). Employee wages by industry, annual [Dataset]. http://doi.org/10.25318/1410006401-eng
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    Dataset updated
    Jan 24, 2025
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Average hourly and weekly wage rate, and median hourly and weekly wage rate by North American Industry Classification System (NAICS), type of work, gender, and age group.

  16. N

    Industry, Maine households by income brackets: family, non-family, and...

    • neilsberg.com
    csv, json
    Updated Mar 3, 2025
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    Neilsberg Research (2025). Industry, Maine households by income brackets: family, non-family, and total, in 2023 inflation-adjusted dollars [Dataset]. https://www.neilsberg.com/insights/industry-me-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
    Maine, Industry
    Variables measured
    Income Level, All households, Family households, Non-Family households, Percent of All households, Percent of Family households, Percent of Non-Family households
    Measurement technique
    The data presented in this dataset is derived from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It delineates income distributions across income brackets (mentioned above) following an initial analysis and categorization. The percentage of all, family and nonfamily households were collected by grouping data as applicable. For additional information about these estimations, please contact us via email at research@neilsberg.com
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

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

    Key observations

    • For Family Households: In Industry town, the majority of family households, representing 18.12%, earn $50,000 to $59,999, showcasing a substantial share of the community families falling within this income bracket. Conversely, the minority of family households, comprising 0.0%, have incomes falling $20,000 to $24,999, representing a smaller but still significant segment of the community.
    • For Non-Family Households: In Industry town, the majority of non-family households, accounting for 22.86%, have income $50,000 to $59,999, indicating that a substantial portion of non-family households falls within this income bracket. On the other hand, the minority of non-family households, comprising 0.0%, earn $20,000 to $24,999, representing a smaller, yet notable, portion of non-family households in the community.
    Content

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

    Income Levels:

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

    Variables / Data Columns

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

    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 Industry town median household income. You can refer the same here

  17. U.S. monthly percent change in disposable income 2023-2024

    • statista.com
    • flwrdeptvarieties.store
    Updated Nov 20, 2024
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    Statista (2024). U.S. monthly percent change in disposable income 2023-2024 [Dataset]. https://www.statista.com/statistics/216773/monthly-percentage-of-change-in-the-disposable-personal-income-in-the-us/
    Explore at:
    Dataset updated
    Nov 20, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Sep 2023 - Sep 2024
    Area covered
    United States
    Description

    In September 2024, the disposable personal income in the United States increased by 0.3 percent from the previous month. The data are in current U.S. dollars, seasonally adjusted at annual rates. Disposable personal income in the United States According to the BEA, personal income is the income that is received by persons from all sources. It is calculated as the sum of wage and salary disbursements, supplements to wages and salaries, proprietors' income with inventory valuation and capital consumption adjustments, rental income of persons with capital consumption adjustment, personal dividend income, personal interest income, and personal current transfer receipts, minus contributions for government social insurance. In simple terms, disposable personal income is the total remaining income after taxes paid; it is the income available to persons for spending or saving. It is useful to economists because it measures the amount of money available for spending in a specific area. Disposable personal income is a significant indicator of an economy’s health. Personal income determines an individual’s ability to consume goods and services, i.e. personal consumption expenditure, and industries producing consumer goods and services contribute heavily to United States gross domestic product. The retail trade industry, for example, contributed 1.38 trillion chained U.S. dollars to the GDP of the United States in 2021. Total real GDP amounted to about 22.99 trillion U.S. dollars that year. The arts, entertainment, recreation, accommodation and food services industry contributed 839.6 billion U.S. dollars to the GDP in 2021. Personal income in the United States was 21.06 trillion U.S. dollars in 2021, the highest value in over ten years.

  18. N

    Industry, Maine annual median income by work experience and sex dataset :...

    • neilsberg.com
    csv, json
    Updated Jan 9, 2024
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    Neilsberg Research (2024). Industry, Maine annual median income by work experience and sex dataset : Aged 15+, 2010-2022 (in 2022 inflation-adjusted dollars) [Dataset]. https://www.neilsberg.com/research/datasets/94a90e08-9816-11ee-99cf-3860777c1fe6/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Jan 9, 2024
    Dataset authored and provided by
    Neilsberg Research
    License

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

    Area covered
    Maine, Industry
    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) 2010-2022 5-Year Estimates. To portray the income for both the genders (Male and Female), we conducted an initial analysis and categorization of the 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 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 Industry town. 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 2021

    Based on our analysis ACS 2017-2021 5-Year Estimates, we present the following observations: - All workers, aged 15 years and older: In Industry town, the median income for all workers aged 15 years and older, regardless of work hours, was $49,429 for males and $24,321 for females.

    These income figures highlight a substantial gender-based income gap in Industry town. Women, regardless of work hours, earn 49 cents for each dollar earned by men. This significant gender pay gap, approximately 51%, underscores concerning gender-based income inequality in the town of Industry town.

    - Full-time workers, aged 15 years and older: In Industry town, among full-time, year-round workers aged 15 years and older, males earned a median income of $56,447, while females earned $33,508, leading to a 41% gender pay gap among full-time workers. This illustrates that women earn 59 cents for each dollar earned by men in full-time roles. This level of income gap emphasizes the urgency to address and rectify this ongoing disparity, where women, despite working full-time, face a more significant wage discrepancy compared to men in the same employment roles.

    Remarkably, across all roles, including non-full-time employment, women displayed a similar gender pay gap percentage. This indicates a consistent gender pay gap scenario across various employment types in Industry town, showcasing a consistent income pattern irrespective of employment status.

    https://i.neilsberg.com/ch/industry-me-income-by-gender.jpeg" alt="Industry, Maine gender based income disparity">

    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2022-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 2022
    • 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 Industry town median household income by gender. You can refer the same here

  19. I

    India IHIS: Percentage of Revenue: Two-Star: Net Income

    • ceicdata.com
    + more versions
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    CEICdata.com, India IHIS: Percentage of Revenue: Two-Star: Net Income [Dataset]. https://www.ceicdata.com/en/india/indian-hotel-industry-survey-financial-performance-revenue-by-hotel-ratings/ihis-percentage-of-revenue-twostar-net-income
    Explore at:
    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
    Mar 1, 2006 - Mar 1, 2017
    Area covered
    India
    Variables measured
    Accomodation Statistics
    Description

    India IHIS: Percentage of Revenue: Two-Star: Net Income data was reported at 24.300 % in 2017. This records a decrease from the previous number of 25.400 % for 2016. India IHIS: Percentage of Revenue: Two-Star: Net Income data is updated yearly, averaging 20.800 % from Mar 2000 (Median) to 2017, with 18 observations. The data reached an all-time high of 27.600 % in 2000 and a record low of 15.000 % in 2013. India IHIS: Percentage of Revenue: Two-Star: Net Income data remains active status in CEIC and is reported by Federation of Hotel & Restaurant Associations of India. The data is categorized under India Premium Database’s Hotel Sector – Table IN.QHF002: Indian Hotel Industry Survey: Financial Performance: Revenue: by Hotel Ratings.

  20. F

    Total Revenue for Performing Arts, Spectator Sports, and Related Industries,...

    • fred.stlouisfed.org
    json
    Updated Mar 13, 2025
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    (2025). Total Revenue for Performing Arts, Spectator Sports, and Related Industries, Establishments Subject to Federal Income Tax [Dataset]. https://fred.stlouisfed.org/series/REV711TPSA
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Mar 13, 2025
    License

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

    Description

    Graph and download economic data for Total Revenue for Performing Arts, Spectator Sports, and Related Industries, Establishments Subject to Federal Income Tax (REV711TPSA) from Q2 2009 to Q4 2024 about performance, sport, arts, revenue, establishments, tax, federal, income, industry, and USA.

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TwitterTwitter
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Click to copy link
Link copied
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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: Retail trade industries: 16 years and over [Dataset]. https://fred.stlouisfed.org/series/LEU0204865600A

Employed: Percent of hourly paid workers: Paid total at or below prevailing federal minimum wage: Private wage and salary workers: Retail trade industries: 16 years and over

LEU0204865600A

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: Retail trade industries: 16 years and over (LEU0204865600A) from 2000 to 2024 about paid, minimum wage, salaries, workers, hours, retail trade, 16 years +, federal, wages, percent, sales, retail, private, employment, industry, and USA.

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