28 datasets found
  1. N

    Willard, MO annual income distribution by work experience and gender dataset...

    • neilsberg.com
    csv, json
    Updated Jan 9, 2024
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    Neilsberg Research (2024). Willard, MO annual income distribution by work experience and gender dataset (Number of individuals ages 15+ with income, 2021) [Dataset]. https://www.neilsberg.com/research/datasets/2455f26f-981b-11ee-99cf-3860777c1fe6/
    Explore at:
    csv, jsonAvailable 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
    Willard, Missouri
    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) 2017-2021 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 Willard. The dataset can be utilized to gain insights into gender-based income distribution within the Willard population, aiding in data analysis and decision-making..

    Key observations

    • Employment patterns: Within Willard, among individuals aged 15 years and older with income, there were 1,955 men and 1,921 women in the workforce. Among them, 1,371 men were engaged in full-time, year-round employment, while 1,023 women were in full-time, year-round roles.
    • Annual income under $24,999: Of the male population working full-time, 14% fell within the income range of under $24,999, while 18.38% of the female population working full-time was represented in the same income bracket.
    • Annual income above $100,000: 10.28% of men in full-time roles earned incomes exceeding $100,000, while 9.19% 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)

    https://i.neilsberg.com/ch/willard-mo-income-distribution-by-gender-and-employment-type.jpeg" alt="Willard, MO gender and employment-based income distribution analysis (Ages 15+)">

    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 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 Willard median household income by gender. You can refer the same here

  2. F

    Per Capita Personal Income in Alaska

    • fred.stlouisfed.org
    json
    Updated Mar 28, 2025
    + more versions
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    (2025). Per Capita Personal Income in Alaska [Dataset]. https://fred.stlouisfed.org/series/AKPCPI
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Mar 28, 2025
    License

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

    Area covered
    Alaska
    Description

    Graph and download economic data for Per Capita Personal Income in Alaska (AKPCPI) from 1950 to 2024 about AK, personal income, per capita, personal, income, and USA.

  3. N

    Bainbridge, IN Median Household Income Trends (2010-2023, in 2023...

    • neilsberg.com
    csv, json
    Updated Mar 3, 2025
    + more versions
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    Neilsberg Research (2025). Bainbridge, IN Median Household Income Trends (2010-2023, in 2023 inflation-adjusted dollars) [Dataset]. https://www.neilsberg.com/insights/bainbridge-in-median-household-income/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Mar 3, 2025
    Dataset authored and provided by
    Neilsberg Research
    License

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

    Area covered
    Bainbridge
    Variables measured
    Median Household Income, Median Household Income Year on Year Change, Median Household Income Year on Year Percent Change
    Measurement technique
    The data presented in this dataset is derived from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It presents the median household income from the years 2010 to 2023 following an initial analysis and categorization of the census data. Subsequently, we adjusted these figures for inflation using the Consumer Price Index retroactive series via current methods (R-CPI-U-RS). For additional information about these estimations, please contact us via email at research@neilsberg.com
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset illustrates the median household income in Bainbridge, spanning the years from 2010 to 2023, with all figures adjusted to 2023 inflation-adjusted dollars. Based on the latest 2019-2023 5-Year Estimates from the American Community Survey, it displays how income varied over the last decade. The dataset can be utilized to gain insights into median household income trends and explore income variations.

    Key observations:

    From 2010 to 2023, the median household income for Bainbridge decreased by $1,955 (3.33%), as per the American Community Survey estimates. In comparison, median household income for the United States increased by $5,602 (7.68%) between 2010 and 2023.

    Analyzing the trend in median household income between the years 2010 and 2023, spanning 13 annual cycles, we observed that median household income, when adjusted for 2023 inflation using the Consumer Price Index retroactive series (R-CPI-U-RS), experienced growth year by year for 5 years and declined for 8 years.

    Content

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

    Years for which data is available:

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

    Variables / Data Columns

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

    Good to know

    Margin of Error

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

    Custom data

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

    Inspiration

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

    Recommended for further research

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

  4. F

    Supplements to wages and salaries: Private supplemental unemployment...

    • fred.stlouisfed.org
    json
    Updated Aug 4, 2017
    + more versions
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    (2017). Supplements to wages and salaries: Private supplemental unemployment insurance (DISCONTINUED) [Dataset]. https://fred.stlouisfed.org/series/B4926C0A144NBEA
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Aug 4, 2017
    License

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

    Description

    Graph and download economic data for Supplements to wages and salaries: Private supplemental unemployment insurance (DISCONTINUED) (B4926C0A144NBEA) from 1955 to 2016 about pension, contributions, insurance, private, unemployment, employment, GDP, and USA.

  5. GDP per capita in the UK 1955-2024

    • statista.com
    Updated Jun 30, 2025
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    Statista (2025). GDP per capita in the UK 1955-2024 [Dataset]. https://www.statista.com/statistics/970672/gdp-per-capita-in-the-uk/
    Explore at:
    Dataset updated
    Jun 30, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United Kingdom
    Description

    In 2024, gross domestic product per capita in the United Kingdom was 37,044 British pounds, compared with 37,033 pounds in the previous year. In general, while GDP per capita has grown quite consistently throughout this period, there are noticeable declines, especially between 2007 and 2009, and between 2019 and 2020, due to the Global Financial Crisis, and COVID-19 pandemic, respectively. Why is GDP per capita stagnating when the economy is growing? During the last two years that GDP per capita fell and then stagnated in the UK, the overall economy grew by 0.4 percent in 2023 and 1.1 percent in 2024. While the overall UK economy is therefore larger than it was in 2022, the UK's population has grown at a faster rate, resulting in the lower GDP per capita figure. The long-term slump in the UK's productivity, as measured by output per hour worked, has meant that the gap between GDP growth and GDP per capita growth has been widening for some time. Economy remains the main concern of UK voters As of February 2025, the economy was seen as the main issue facing the UK, just ahead of immigration, health, and several other problems in the country. While Brexit was seen as the most important issue before COVID-19, and concerns about health were dominant throughout 2020 and 2021, the economy has generally been the primary facing voters issue since 2022. The surge in inflation throughout 2022 and 2023, and the impact this had on wages and living standards, resulted in a very tough period for UK households. As of January 2025, 57 percent of households were still noticing rising living costs, although this is down from a peak of 91 percent in August 2022.

  6. N

    Cambridge, MD median household income breakdown by race betwen 2013 and 2023...

    • neilsberg.com
    csv, json
    Updated Mar 1, 2025
    + more versions
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    Neilsberg Research (2025). Cambridge, MD median household income breakdown by race betwen 2013 and 2023 [Dataset]. https://www.neilsberg.com/research/datasets/ed0a1af4-f665-11ef-a994-3860777c1fe6/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Mar 1, 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
    Cambridge, Maryland
    Variables measured
    Median Household Income Trends for Asian Population, Median Household Income Trends for Black Population, Median Household Income Trends for White Population, Median Household Income Trends for Some other race Population, Median Household Income Trends for Two or more races Population, Median Household Income Trends for American Indian and Alaska Native Population, Median Household Income Trends for Native Hawaiian and Other Pacific Islander Population
    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 median household income within each racial category idetified by the US Census Bureau, we conducted an initial analysis and categorization of the data from 2013 to 2023. Subsequently, we adjusted these figures for inflation using the Consumer Price Index retroactive series via current methods (R-CPI-U-RS). It is important to note that the median household income estimates exclusively represent the identified racial categories and do not incorporate any ethnicity classifications. Households are categorized, and median incomes are reported based on the self-identified race 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 median household incomes over the past decade across various racial categories identified by the U.S. Census Bureau in Cambridge. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. It also showcases the annual income trends, between 2013 and 2023, providing insights into the economic shifts within diverse racial communities.The dataset can be utilized to gain insights into income disparities and variations across racial categories, aiding in data analysis and decision-making..

    Key observations

    • White: In Cambridge, the median household income for the households where the householder is White decreased by $1,955(3.49%), between 2013 and 2023. The median household income, in 2023 inflation-adjusted dollars, was $56,030 in 2013 and $54,075 in 2023.
    • Black or African American: In Cambridge, the median household income for the households where the householder is Black or African American increased by $2,802(8.20%), between 2013 and 2023. The median household income, in 2023 inflation-adjusted dollars, was $34,161 in 2013 and $36,963 in 2023.
    • Refer to the research insights for more key observations on American Indian and Alaska Native, Asian, Native Hawaiian and Other Pacific Islander, Some other race and Two or more races (multiracial) households
    Content

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

    Racial categories include:

    • White
    • Black or African American
    • American Indian and Alaska Native
    • Asian
    • Native Hawaiian and Other Pacific Islander
    • Some other race
    • Two or more races (multiracial)

    Variables / Data Columns

    • Race of the head of household: This column presents the self-identified race of the household head, encompassing all relevant racial categories (excluding ethnicity) applicable in Cambridge.
    • 2010: 2010 median household income
    • 2011: 2011 median household income
    • 2012: 2012 median household income
    • 2013: 2013 median household income
    • 2014: 2014 median household income
    • 2015: 2015 median household income
    • 2016: 2016 median household income
    • 2017: 2017 median household income
    • 2018: 2018 median household income
    • 2019: 2019 median household income
    • 2020: 2020 median household income
    • 2021: 2021 median household income
    • 2022: 2022 median household income
    • 2023: 2023 median household income
    • Please note: All incomes have been adjusted for inflation and are presented in 2023-inflation-adjusted dollars.

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

  7. United Kingdom TE: RC: API: CE: Wages & Salaries

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). United Kingdom TE: RC: API: CE: Wages & Salaries [Dataset]. https://www.ceicdata.com/en/united-kingdom/esa10-resources-and-uses-total-economy-primary-income/te-rc-api-ce-wages--salaries
    Explore at:
    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Jun 1, 2015 - Mar 1, 2018
    Area covered
    United Kingdom
    Variables measured
    Flow of Fund Account
    Description

    United Kingdom TE: RC: API: CE: Wages & Salaries data was reported at 213,140.000 GBP mn in Jun 2018. This records a decrease from the previous number of 222,433.000 GBP mn for Mar 2018. United Kingdom TE: RC: API: CE: Wages & Salaries data is updated quarterly, averaging 47,202.000 GBP mn from Mar 1955 (Median) to Jun 2018, with 254 observations. The data reached an all-time high of 222,433.000 GBP mn in Mar 2018 and a record low of 2,561.000 GBP mn in Mar 1955. United Kingdom TE: RC: API: CE: Wages & Salaries data remains active status in CEIC and is reported by Office for National Statistics. The data is categorized under Global Database’s United Kingdom – Table UK.AB023: ESA10: Resources and Uses: Total Economy: Primary Income.

  8. N

    Orange, Wisconsin Median Household Income Trends (2010-2023, in 2023...

    • neilsberg.com
    csv, json
    Updated Mar 3, 2025
    + more versions
    Share
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    Neilsberg Research (2025). Orange, Wisconsin Median Household Income Trends (2010-2023, in 2023 inflation-adjusted dollars) [Dataset]. https://www.neilsberg.com/research/datasets/17066369-f81d-11ef-a994-3860777c1fe6/
    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
    Orange, Wisconsin
    Variables measured
    Median Household Income, Median Household Income Year on Year Change, Median Household Income Year on Year Percent Change
    Measurement technique
    The data presented in this dataset is derived from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It presents the median household income from the years 2010 to 2023 following an initial analysis and categorization of the census data. Subsequently, we adjusted these figures for inflation using the Consumer Price Index retroactive series via current methods (R-CPI-U-RS). For additional information about these estimations, please contact us via email at research@neilsberg.com
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset illustrates the median household income in Orange town, spanning the years from 2010 to 2023, with all figures adjusted to 2023 inflation-adjusted dollars. Based on the latest 2019-2023 5-Year Estimates from the American Community Survey, it displays how income varied over the last decade. The dataset can be utilized to gain insights into median household income trends and explore income variations.

    Key observations:

    From 2010 to 2023, the median household income for Orange town decreased by $1,955 (2.99%), as per the American Community Survey estimates. In comparison, median household income for the United States increased by $5,602 (7.68%) between 2010 and 2023.

    Analyzing the trend in median household income between the years 2010 and 2023, spanning 13 annual cycles, we observed that median household income, when adjusted for 2023 inflation using the Consumer Price Index retroactive series (R-CPI-U-RS), experienced growth year by year for 6 years and declined for 7 years.

    Content

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

    Years for which data is available:

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

    Variables / Data Columns

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

    Good to know

    Margin of Error

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

    Custom data

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

    Inspiration

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

    Recommended for further research

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

  9. U

    United Kingdom HN: RC: sa: Compensation of Emp (CE): Wages & Salaries

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). United Kingdom HN: RC: sa: Compensation of Emp (CE): Wages & Salaries [Dataset]. https://www.ceicdata.com/en/united-kingdom/esa10-resources-and-uses-household-and-non-profit-institutions-serving-households-primary-income/hn-rc-sa-compensation-of-emp-ce-wages--salaries
    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
    Jun 1, 2015 - Mar 1, 2018
    Area covered
    United Kingdom
    Variables measured
    Flow of Fund Account
    Description

    United Kingdom HN: RC: sa: Compensation of Emp (CE): Wages & Salaries data was reported at 212,181.000 GBP mn in Mar 2018. This records an increase from the previous number of 209,549.000 GBP mn for Dec 2017. United Kingdom HN: RC: sa: Compensation of Emp (CE): Wages & Salaries data is updated quarterly, averaging 46,718.000 GBP mn from Mar 1955 (Median) to Mar 2018, with 253 observations. The data reached an all-time high of 212,181.000 GBP mn in Mar 2018 and a record low of 2,561.000 GBP mn in Mar 1955. United Kingdom HN: RC: sa: Compensation of Emp (CE): Wages & Salaries data remains active status in CEIC and is reported by Office for National Statistics. The data is categorized under Global Database’s UK – Table UK.AB049: ESA10: Resources and Uses: Household and Non Profit Institutions Serving Households: Primary Income.

  10. United Kingdom TE: RC: sa: API: CE: Wages & Salaries

    • ceicdata.com
    Updated Feb 15, 2025
    Share
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    CEICdata.com (2025). United Kingdom TE: RC: sa: API: CE: Wages & Salaries [Dataset]. https://www.ceicdata.com/en/united-kingdom/esa10-resources-and-uses-total-economy-primary-income/te-rc-sa-api-ce-wages--salaries
    Explore at:
    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Jun 1, 2015 - Mar 1, 2018
    Area covered
    United Kingdom
    Variables measured
    Flow of Fund Account
    Description

    United Kingdom TE: RC: sa: API: CE: Wages & Salaries data was reported at 212,181.000 GBP mn in Mar 2018. This records an increase from the previous number of 209,549.000 GBP mn for Dec 2017. United Kingdom TE: RC: sa: API: CE: Wages & Salaries data is updated quarterly, averaging 46,718.000 GBP mn from Mar 1955 (Median) to Mar 2018, with 253 observations. The data reached an all-time high of 212,181.000 GBP mn in Mar 2018 and a record low of 2,561.000 GBP mn in Mar 1955. United Kingdom TE: RC: sa: API: CE: Wages & Salaries data remains active status in CEIC and is reported by Office for National Statistics. The data is categorized under Global Database’s UK – Table UK.AB023: ESA10: Resources and Uses: Total Economy: Primary Income.

  11. United Kingdom HN: RC: Compensation of Emp (CE): Wages & Salaries

    • ceicdata.com
    Updated Feb 15, 2025
    Share
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    CEICdata.com (2025). United Kingdom HN: RC: Compensation of Emp (CE): Wages & Salaries [Dataset]. https://www.ceicdata.com/en/united-kingdom/esa10-resources-and-uses-household-and-non-profit-institutions-serving-households-primary-income/hn-rc-compensation-of-emp-ce-wages--salaries
    Explore at:
    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Jun 1, 2015 - Mar 1, 2018
    Area covered
    United Kingdom
    Variables measured
    Flow of Fund Account
    Description

    United Kingdom HN: RC: Compensation of Emp (CE): Wages & Salaries data was reported at 213,140.000 GBP mn in Jun 2018. This records a decrease from the previous number of 222,433.000 GBP mn for Mar 2018. United Kingdom HN: RC: Compensation of Emp (CE): Wages & Salaries data is updated quarterly, averaging 47,202.000 GBP mn from Mar 1955 (Median) to Jun 2018, with 254 observations. The data reached an all-time high of 222,433.000 GBP mn in Mar 2018 and a record low of 2,561.000 GBP mn in Mar 1955. United Kingdom HN: RC: Compensation of Emp (CE): Wages & Salaries data remains active status in CEIC and is reported by Office for National Statistics. The data is categorized under Global Database’s United Kingdom – Table UK.AB049: ESA10: Resources and Uses: Household and Non Profit Institutions Serving Households: Primary Income.

  12. T

    Bosnia And Herzegovina Average Monthly Wages in Manufacturing

    • tradingeconomics.com
    • tr.tradingeconomics.com
    • +12more
    csv, excel, json, xml
    Updated May 15, 2025
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    TRADING ECONOMICS (2025). Bosnia And Herzegovina Average Monthly Wages in Manufacturing [Dataset]. https://tradingeconomics.com/bosnia-and-herzegovina/wages-in-manufacturing
    Explore at:
    json, excel, xml, csvAvailable download formats
    Dataset updated
    May 15, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 31, 2007 - Apr 30, 2025
    Area covered
    Bosnia and Herzegovina
    Description

    Wages in Manufacturing in Bosnia and Herzegovina increased to 1955 BAM/Month in April from 1936 BAM/Month in March of 2025. This dataset provides - Bosnia And Herzegovina Average Monthly Wages in Manufacturing - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  13. c

    Economical Timeseries of Vienna, 1945 bis 2001

    • datacatalogue.cessda.eu
    • search.gesis.org
    • +3more
    Updated Oct 19, 2024
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    Weigl (2024). Economical Timeseries of Vienna, 1945 bis 2001 [Dataset]. http://doi.org/10.4232/1.8283
    Explore at:
    Dataset updated
    Oct 19, 2024
    Dataset provided by
    Andreas
    Authors
    Weigl
    Time period covered
    1945 - 2001
    Measurement technique
    Sources: Official Statistics:Consumer buying habits, Gross regional product, Tourism, Labour market, Development of commuter potential coming into the city, economic growth. Additional: Microcensus.
    Description

    Timeseries of the Period 1945 – 2001 about the topics - economic structure, economic cycles, business developmet, - production, - services, - labour market, - prices, consumption and income of Vienna.

    The aim was to cover the entire period under report with timeseries-data. Because of the absence of data or serious fractions of some timeseries this goal could not always be attained.

    Topics:

    Data-Tables in HISTAT:

    A Economic structure, economic cycles, business development

    A.1.01.a Development of nominal gross-urban-product by industrial sector at market prices 1961-1992 A.1.01.b Development of nominal gross-urban-product by ÖNACE-sections (= austrian nomenclature of economic activities) at market prices 1988-1997 A.1.01.c Development of nominal gruss-urban-product by ÖNACE-sections at cost prices 1995-1998 A.1.02 Workplaces (business companies) by economic classes 1954-1991 A.1.03 Workplaces and employees by industrial sector and urban district 1959-1991 A.1.04 Enterprises in the commercial economy of Vienna 1963-2000 A.1.05 Members of Vienna’s chamber of commerce 1955-2000 A.1.06 Stock corporations based in Vienna 1967-1995 A.1.07 Settlement of companies in Vienna aided by the businessdevelopment-fond 1982-2000 A.1.08.a Insolvencies 1966-1994 A.1.08.b Insolvencies 1995-2000

    B Production

    B.2.01.a Gross-production-values of industry by industrial sectors 1955-1994 B.2.01.b Production-values of industry by sort of production 1995-2000 B.2.02 Index of Vienna’s industrial production 1969-2000 B.2.03 Electricity production and distribution 1946-2000 B.2.04.a Gas distribution system 1946-2000 B.2.04.b Gas consumption 1946-2000

    C Services

    C.3.01 Salesindices of wholsale 1973-1998 C.3.02 Salesindices of retailing 1973-1998 C.3.03 Turnover potential of Vienna’s main shopping streets 1970-1998 C.3.04 Market supply at Viktualien 1945-2000 C.3.05 Tabacco sales 1946-2000 C.3.06 Credit institutions 1967-2000 C.3.07 Visitors’ overnight stays 1948-2000 C.3.08 Arrival of visitors 1948-2000

    D Labour market

    D.4.01 Working population by urban districts and industrial sectors 1954-1991 D.4.02 Commuter-Matrix 1955-1991 D.4.03 Commuter, driving into the city to their workplace (assured at Vienna’s Area Health Insurance Company (“Wiener Gebietskrankenkasse”)) 1986-2000 D.4.04 Changes of the labour supply (Components and their constituent parts) 1971-1991 D.4.05.a1 Employment market, employee 1946-1986 D.4.05.a2 Employment market, registered unemployed 1946-1986 D.4.05.a3 Employment market, Indizes 1946-1986
    D.4.05.b1 Employment market, employee and registered unemployed 1987-2000 D.4.05.b2 Employment market, Indizes 1987-2000 D.4.06 Employees by industrial sectors 1955-2000 D.4.07 Employees by nationality 1972-2000 D.4.08.a Mobility: jearly average of standard employment by economic sectors 1972-2000 D.4.08.b Mobility: Leavings from standard emploument by economic sectors 1972-2000 D.4.08.c Mobility-index of standard employment by economic sectors 1972-2000 D.4.09.a Registered unemployed ba age-groups 1960-1986 D.4.09.b Registered unemployed by age-groups 1987-2000 D.4.10 Registered unemployed by duration of registration 1969-1986 D.4.11 Registered unemployed by age-group and duration of registration 1969-1982 D.4.12.a Registered unemployed, male, by age-group and duration of registration, 1987-2000 D.4.12.b Registered unemployed, female, by age-group and duration of registration, 1987-2000 D.4.12.c Total registered unemployed, by age-group and duration of registration, 1987-2000 D.4.13 Registered unemployed by highest education 1987-2000 D.4.14 Unemployment rate by sex and nationality 1991-2000 D.4.15 Unionists 1946-2000

    E Preice, consumption and income

    E.5.01 Consumer-price-index (linked Indices) 1945-2000 E.5.02 Consumer-price-index by consume groups 1948-2000 E.5.03 Wholesale price indices 1947-2000 E.5.04 Building costs indices of domestic buildings 1946-2000 E.5.05 Average prices of selected goods and services 1948-2000

    E.5.07.a Gross median income of employee 1962-2000 E.5.07.b Gross median income of employee (relations) 1962-2000 E.5.8.a Quartiles of income, totally 1962-2000 E.5.8.b Quartiles of income, male 1962-2000 E.5.8.c Quartiles of income, female 1962-2000 E.5.9 Earnings and income in industry, business and trade 1962-1999

  14. South Korea GDP per Capita

    • ceicdata.com
    • dr.ceicdata.com
    Updated Mar 13, 2025
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    CEICdata.com (2025). South Korea GDP per Capita [Dataset]. https://www.ceicdata.com/en/indicator/korea/gdp-per-capita
    Explore at:
    Dataset updated
    Mar 13, 2025
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Dec 1, 2013 - Dec 1, 2024
    Area covered
    South Korea
    Variables measured
    Gross Domestic Product
    Description

    Key information about South Korea GDP Per Capita

    • South Korea Gross Domestic Product (GDP) per Capita reached 36,113.000 USD in Dec 2024, compared with 35,569.900 USD in Dec 2023.
    • South Korea GDP Per Capita data is updated yearly, available from Dec 1953 to Dec 2024, with an average number of 5,442.300 USD.
    • The data reached an all-time high of 37,503.100 USD in Dec 2021 and a record low of 64.230 in Dec 1955.


    Related information about South Korea GDP Per Capita data

    • In the latest reports, South Korea GDP expanded 1.012 % YoY in Mar 2023.
    • South Korea Nominal GDP reached 429.247 USD bn in Mar 2023.
    • Its GDP deflator (implicit price deflator) increased 1.394 % in Mar 2023.
    • Gross Savings Rate of South Korea was measured at 29.857 % in Mar 2023.

  15. s

    Gross domestic product (GDP), income-based, annual, 1926 - 1960 (x...

    • www150.statcan.gc.ca
    Updated Jan 21, 2009
    + more versions
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    Government of Canada, Statistics Canada (2009). Gross domestic product (GDP), income-based, annual, 1926 - 1960 (x 1,000,000) [Dataset]. http://doi.org/10.25318/3610027601-eng
    Explore at:
    Dataset updated
    Jan 21, 2009
    Dataset provided by
    Government of Canada, Statistics Canada
    Area covered
    Canada
    Description

    This table contains 11 series, with data for years 1926 - 1960 (not all combinations necessarily have data for all years), and was last released on 2009-01-21. This table contains data described by the following dimensions (Not all combinations are available): Geography (1 items: Canada ...), Income-based estimates (11 items: Gross domestic product (GDP) at market prices; Net domestic income at factor cost; Wages; salaries and supplementary labour income; Corporation profits before taxes ...).

  16. Japan Industry: 10mn to 100mn: PE: Salaries for Officers

    • ceicdata.com
    + more versions
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    CEICdata.com, Japan Industry: 10mn to 100mn: PE: Salaries for Officers [Dataset]. https://www.ceicdata.com/en/japan/financial-statements-of-corporation-industry-10-million-to-100-million/industry-10mn-to-100mn-pe-salaries-for-officers
    Explore at:
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Mar 1, 2015 - Dec 1, 2017
    Area covered
    Japan
    Variables measured
    Enterprises Survey
    Description

    Japan Industry: 10mn to 100mn: PE: Salaries for Officers data was reported at 3,407.467 JPY bn in Mar 2018. This records an increase from the previous number of 3,404.416 JPY bn for Dec 2017. Japan Industry: 10mn to 100mn: PE: Salaries for Officers data is updated quarterly, averaging 1,417.385 JPY bn from Jun 1954 (Median) to Mar 2018, with 256 observations. The data reached an all-time high of 4,604.553 JPY bn in Sep 2000 and a record low of 4.559 JPY bn in Jun 1955. Japan Industry: 10mn to 100mn: PE: Salaries for Officers data remains active status in CEIC and is reported by CEIC Data. The data is categorized under Global Database’s Japan – Table JP.S044: Financial Statements of Corporation: Industry: 10 Million to 100 Million.

  17. Index of agricultural wages in the United States 1948-1981

    • statista.com
    Updated Dec 31, 1993
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    Statista (1993). Index of agricultural wages in the United States 1948-1981 [Dataset]. https://www.statista.com/statistics/1315929/us-index-wages-agriculture-historical-2/
    Explore at:
    Dataset updated
    Dec 31, 1993
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    1948 - 1981
    Area covered
    United States
    Description

    Between 1948 and 1981, average wages in the U.S. agricultural sector grew by a factor of five. Agricultural wages doubled between 1955 and 1970, and doubled again by 1980. These rates were slightly higher, but similar to, wage growth in the industrial sector during these years.

  18. F

    Hourly Earnings: Earnings: Economic Activity: Manufacturing: Total Economy...

    • fred.stlouisfed.org
    json
    Updated Jun 16, 2025
    + more versions
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    (2025). Hourly Earnings: Earnings: Economic Activity: Manufacturing: Total Economy for Japan [Dataset]. https://fred.stlouisfed.org/series/LCEAMN01JPM661S
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jun 16, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Area covered
    Japan
    Description

    Graph and download economic data for Hourly Earnings: Earnings: Economic Activity: Manufacturing: Total Economy for Japan (LCEAMN01JPM661S) from Jan 1955 to Mar 2025 about compensation, Japan, earnings, hours, and manufacturing.

  19. T

    United Kingdom Corporate Profits

    • tradingeconomics.com
    • es.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS, United Kingdom Corporate Profits [Dataset]. https://tradingeconomics.com/united-kingdom/corporate-profits
    Explore at:
    xml, csv, excel, 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
    Mar 31, 1955 - Mar 31, 2025
    Area covered
    United Kingdom
    Description

    Corporate Profits in the United Kingdom increased to 152043 GBP Million in the first quarter of 2025 from 148024 GBP Million in the fourth quarter of 2024. This dataset provides the latest reported value for - United Kingdom Corporate Profits - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  20. Japan Industry: All: PE: Salaries for Employees

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). Japan Industry: All: PE: Salaries for Employees [Dataset]. https://www.ceicdata.com/en/japan/financial-statements-of-corporation-industry-all/industry-all-pe-salaries-for-employees
    Explore at:
    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Mar 1, 2015 - Dec 1, 2017
    Area covered
    Japan
    Variables measured
    Enterprises Survey
    Description

    Japan Industry: All: PE: Salaries for Employees data was reported at 29,657.886 JPY bn in Jun 2018. This records an increase from the previous number of 29,243.197 JPY bn for Mar 2018. Japan Industry: All: PE: Salaries for Employees data is updated quarterly, averaging 18,373.231 JPY bn from Jun 1954 (Median) to Jun 2018, with 257 observations. The data reached an all-time high of 38,031.392 JPY bn in Dec 1999 and a record low of 203.156 JPY bn in Mar 1955. Japan Industry: All: PE: Salaries for Employees data remains active status in CEIC and is reported by Ministry of Finance. The data is categorized under Global Database’s Japan – Table JP.S041: Financial Statements of Corporation: Industry: All.

Share
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Neilsberg Research (2024). Willard, MO annual income distribution by work experience and gender dataset (Number of individuals ages 15+ with income, 2021) [Dataset]. https://www.neilsberg.com/research/datasets/2455f26f-981b-11ee-99cf-3860777c1fe6/

Willard, MO annual income distribution by work experience and gender dataset (Number of individuals ages 15+ with income, 2021)

Explore at:
csv, jsonAvailable 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
Willard, Missouri
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) 2017-2021 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 Willard. The dataset can be utilized to gain insights into gender-based income distribution within the Willard population, aiding in data analysis and decision-making..

Key observations

  • Employment patterns: Within Willard, among individuals aged 15 years and older with income, there were 1,955 men and 1,921 women in the workforce. Among them, 1,371 men were engaged in full-time, year-round employment, while 1,023 women were in full-time, year-round roles.
  • Annual income under $24,999: Of the male population working full-time, 14% fell within the income range of under $24,999, while 18.38% of the female population working full-time was represented in the same income bracket.
  • Annual income above $100,000: 10.28% of men in full-time roles earned incomes exceeding $100,000, while 9.19% 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)

https://i.neilsberg.com/ch/willard-mo-income-distribution-by-gender-and-employment-type.jpeg" alt="Willard, MO gender and employment-based income distribution analysis (Ages 15+)">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 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 Willard median household income by gender. You can refer the same here

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