100+ datasets found
  1. Pay gap between CEOs and average workers, by country 2018

    • statista.com
    Updated May 30, 2025
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    Statista (2025). Pay gap between CEOs and average workers, by country 2018 [Dataset]. https://www.statista.com/statistics/424159/pay-gap-between-ceos-and-average-workers-in-world-by-country/
    Explore at:
    Dataset updated
    May 30, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2018
    Area covered
    Worldwide
    Description

    The United States topped the list in 2018 for the country with the highest gap between CEO and worker pay. In that year, for every U.S. dollar an average worker received, the average CEO earned 265 U.S. dollars. India, the United Kingdom, South Africa, and the Netherlands rounded out the top five for countries with the highest CEO to worker pay.

    The 99 percent

    It is a well-known issue that wages for average workers in the United States have been stagnating. Average hourly earnings for American employees, which have been hovering just below 11 U.S. dollars, have not gone up by much over the past year. The federal minimum wage in the United States has been 2.13 U.S. dollars for tipped workers and 7.25 U.S. dollars for non-tipped workers since 2009 and would be much higher today if minimum wage was adjusted for inflation.

    The one percent

    The gap between normal workers and CEOs is particularly high in the U.S. The richest CEO in 2018 was Elon Musk, with an annual compensation of about 2.84 billion U.S. dollars. America is also home to the world’s richest man, Jeff Bezos, who is the head of Amazon.com.

  2. Median salary of customer support workers worldwide by region 2018

    • statista.com
    Updated Jul 9, 2025
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    Statista (2025). Median salary of customer support workers worldwide by region 2018 [Dataset]. https://www.statista.com/statistics/1041194/customer-support-median-salary-worldwide-region/
    Explore at:
    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Apr 2018 - May 2018
    Area covered
    Worldwide
    Description

    North America and the Middle East had the highest wages for customer support workers worldwide in 2018, with a median wage of ****** U.S. dollars according to a 2018 survey of employees in customer support roles. The region with the lowest wages was Asia, with ****** U.S. dollars.

  3. IT professionals: salary by vertical worldwide 2018

    • statista.com
    Updated Jul 11, 2025
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    Statista (2025). IT professionals: salary by vertical worldwide 2018 [Dataset]. https://www.statista.com/statistics/872065/salary-by-industry-it-professionals-worldwide/
    Explore at:
    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Sep 2018 - Nov 2018
    Area covered
    Worldwide
    Description

    This statistic shows the average salary of IT professionals worldwide in 2018, by industry. IT jobs in the aerospace/defense industry have the highest average salary, making about ***** thousand U.S. dollars per year in 2018.

  4. Latvia Average Wages and Salaries: Gross: AR: Gambling and Betting...

    • ceicdata.com
    Updated Aug 9, 2021
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    CEICdata.com (2021). Latvia Average Wages and Salaries: Gross: AR: Gambling and Betting Activities [Dataset]. https://www.ceicdata.com/en/latvia/average-wages-and-salaries-statistical-classification-of-economic-activities-revision-2/average-wages-and-salaries-gross-ar-gambling-and-betting-activities
    Explore at:
    Dataset updated
    Aug 9, 2021
    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
    Apr 1, 2017 - Mar 1, 2018
    Area covered
    Latvia
    Variables measured
    Wage/Earnings
    Description

    Latvia Average Wages and Salaries: Gross: AR: Gambling and Betting Activities data was reported at 1,184.340 EUR in Jun 2018. This records an increase from the previous number of 1,032.700 EUR for May 2018. Latvia Average Wages and Salaries: Gross: AR: Gambling and Betting Activities data is updated monthly, averaging 759.345 EUR from Jan 2008 (Median) to Jun 2018, with 126 observations. The data reached an all-time high of 1,184.340 EUR in Jun 2018 and a record low of 558.460 EUR in Feb 2010. Latvia Average Wages and Salaries: Gross: AR: Gambling and Betting Activities data remains active status in CEIC and is reported by Central Statistical Bureau of Latvia. The data is categorized under Global Database’s Latvia – Table LV.G018: Average Wages and Salaries: Statistical Classification of Economic Activities Revision 2.

  5. I

    Indonesia Monthly Average Wage: Female

    • ceicdata.com
    + more versions
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    CEICdata.com, Indonesia Monthly Average Wage: Female [Dataset]. https://www.ceicdata.com/en/indonesia/monthly-average-wage-by-industry/monthly-average-wage-female
    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
    Aug 1, 2007 - Aug 1, 2018
    Area covered
    Indonesia
    Variables measured
    Wage/Earnings
    Description

    Indonesia Monthly Average Wage: Female data was reported at 2,178,134.000 IDR in 2018. This records an increase from the previous number of 2,070,274.000 IDR for 2017. Indonesia Monthly Average Wage: Female data is updated yearly, averaging 720,632.000 IDR from Aug 1994 (Median) to 2018, with 24 observations. The data reached an all-time high of 2,178,134.000 IDR in 2018 and a record low of 113,497.000 IDR in 1994. Indonesia Monthly Average Wage: Female data remains active status in CEIC and is reported by Central Bureau of Statistics. The data is categorized under Global Database’s Indonesia – Table ID.GBB002: Monthly Average Wage: by Industry.

  6. T

    China Average Yearly Wages

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

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

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

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

  7. Indonesia Monthly Average Wage: Information and Communication

    • ceicdata.com
    Updated Feb 15, 2025
    + more versions
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    CEICdata.com (2025). Indonesia Monthly Average Wage: Information and Communication [Dataset]. https://www.ceicdata.com/en/indonesia/monthly-average-wage-by-industry/monthly-average-wage-information-and-communication
    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
    Aug 1, 2015 - Aug 1, 2018
    Area covered
    Indonesia
    Variables measured
    Wage/Earnings
    Description

    Indonesia Monthly Average Wage: Information and Communication data was reported at 4,049,057.000 IDR in 2018. This records a decrease from the previous number of 4,197,907.000 IDR for 2017. Indonesia Monthly Average Wage: Information and Communication data is updated yearly, averaging 3,953,221.000 IDR from Aug 2015 (Median) to 2018, with 4 observations. The data reached an all-time high of 4,197,907.000 IDR in 2017 and a record low of 3,272,083.000 IDR in 2015. Indonesia Monthly Average Wage: Information and Communication data remains active status in CEIC and is reported by Central Bureau of Statistics. The data is categorized under Global Database’s Indonesia – Table ID.GBB002: Monthly Average Wage: by Industry.

  8. F

    Average Hourly Earnings of All Employees, Total Private

    • fred.stlouisfed.org
    json
    Updated Jul 3, 2025
    + more versions
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    (2025). Average Hourly Earnings of All Employees, Total Private [Dataset]. https://fred.stlouisfed.org/series/CES0500000003
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 3, 2025
    License

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

    Description

    Graph and download economic data for Average Hourly Earnings of All Employees, Total Private (CES0500000003) from Mar 2006 to Jun 2025 about earnings, average, establishment survey, hours, wages, private, employment, and USA.

  9. N

    Country Life Acres, MO Median Income by Age Groups Dataset: A Comprehensive...

    • neilsberg.com
    csv, json
    Updated Aug 7, 2024
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    Neilsberg Research (2024). Country Life Acres, MO Median Income by Age Groups Dataset: A Comprehensive Breakdown of Country Life Acres Annual Median Income Across 4 Key Age Groups // 2024 Edition [Dataset]. https://www.neilsberg.com/research/datasets/a3ceb4d8-54ae-11ef-a42e-3860777c1fe6/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Aug 7, 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
    Missouri, Country Life Acres
    Variables measured
    Income for householder under 25 years, Income for householder 65 years and over, Income for householder between 25 and 44 years, Income for householder between 45 and 64 years
    Measurement technique
    The data presented in this dataset is derived from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates. It delineates income distributions across four age groups (Under 25 years, 25 to 44 years, 45 to 64 years, and 65 years and over) following an initial analysis and categorization. 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 the distribution of median household income among distinct age brackets of householders in Country Life Acres. Based on the latest 2018-2022 5-Year Estimates from the American Community Survey, it displays how income varies among householders of different ages in Country Life Acres. It showcases how household incomes typically rise as the head of the household gets older. The dataset can be utilized to gain insights into age-based household income trends and explore the variations in incomes across households.

    Key observations: Insights from 2022

    In terms of income distribution across age cohorts, in Country Life Acres, where there exist only two delineated age groups, the median household income is $260,314 for householders within the 45 to 64 years age group, compared to $210,853 for the 65 years and over age group.

    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.

    Age groups classifications include:

    • Under 25 years
    • 25 to 44 years
    • 45 to 64 years
    • 65 years and over

    Variables / Data Columns

    • Age Of The Head Of Household: This column presents the age of the head of household
    • Median Household Income: Median household income, in 2022 inflation-adjusted dollars for the specific age group

    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 Country Life Acres median household income by age. You can refer the same here

  10. Annual salary of BNP Paribas employees 2013-2018, by country

    • statista.com
    Updated Jul 11, 2025
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    Statista (2025). Annual salary of BNP Paribas employees 2013-2018, by country [Dataset]. https://www.statista.com/statistics/756930/employee-distribution-of-bnp-paribas-by-region/
    Explore at:
    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide, France
    Description

    This statistic presents the average annual salary of BNP Paribas employees between 2013 and 2018, by country. In 2018, the average annual salary of an employee working for BNP Paribas in France amounted ****** euros.

  11. N

    Country Club Hills, IL Median Income by Age Groups Dataset: A Comprehensive...

    • neilsberg.com
    csv, json
    Updated Aug 7, 2024
    + more versions
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    Neilsberg Research (2024). Country Club Hills, IL Median Income by Age Groups Dataset: A Comprehensive Breakdown of Country Club Hills Annual Median Income Across 4 Key Age Groups // 2024 Edition [Dataset]. https://www.neilsberg.com/research/datasets/a3ceb368-54ae-11ef-a42e-3860777c1fe6/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Aug 7, 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
    Country Club Hills, Illinois
    Variables measured
    Income for householder under 25 years, Income for householder 65 years and over, Income for householder between 25 and 44 years, Income for householder between 45 and 64 years
    Measurement technique
    The data presented in this dataset is derived from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates. It delineates income distributions across four age groups (Under 25 years, 25 to 44 years, 45 to 64 years, and 65 years and over) following an initial analysis and categorization. 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 the distribution of median household income among distinct age brackets of householders in Country Club Hills. Based on the latest 2018-2022 5-Year Estimates from the American Community Survey, it displays how income varies among householders of different ages in Country Club Hills. It showcases how household incomes typically rise as the head of the household gets older. The dataset can be utilized to gain insights into age-based household income trends and explore the variations in incomes across households.

    Key observations: Insights from 2022

    In terms of income distribution across age cohorts, in Country Club Hills, the median household income stands at $94,474 for householders within the 45 to 64 years age group, followed by $74,106 for the 65 years and over age group. Notably, householders within the 25 to 44 years age group, had the lowest median household income at $64,679.

    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.

    Age groups classifications include:

    • Under 25 years
    • 25 to 44 years
    • 45 to 64 years
    • 65 years and over

    Variables / Data Columns

    • Age Of The Head Of Household: This column presents the age of the head of household
    • Median Household Income: Median household income, in 2022 inflation-adjusted dollars for the specific age group

    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 Country Club Hills median household income by age. You can refer the same here

  12. N

    Country Club, MO Median Income by Age Groups Dataset: A Comprehensive...

    • neilsberg.com
    csv, json
    Updated Aug 7, 2024
    + more versions
    Share
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    Neilsberg Research (2024). Country Club, MO Median Income by Age Groups Dataset: A Comprehensive Breakdown of Country Club Annual Median Income Across 4 Key Age Groups // 2024 Edition [Dataset]. https://www.neilsberg.com/research/datasets/a3ceb45c-54ae-11ef-a42e-3860777c1fe6/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Aug 7, 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
    Country Club Village
    Variables measured
    Income for householder under 25 years, Income for householder 65 years and over, Income for householder between 25 and 44 years, Income for householder between 45 and 64 years
    Measurement technique
    The data presented in this dataset is derived from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates. It delineates income distributions across four age groups (Under 25 years, 25 to 44 years, 45 to 64 years, and 65 years and over) following an initial analysis and categorization. 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 the distribution of median household income among distinct age brackets of householders in Country Club. Based on the latest 2018-2022 5-Year Estimates from the American Community Survey, it displays how income varies among householders of different ages in Country Club. It showcases how household incomes typically rise as the head of the household gets older. The dataset can be utilized to gain insights into age-based household income trends and explore the variations in incomes across households.

    Key observations: Insights from 2022

    In terms of income distribution across age cohorts, in Country Club, householders within the 25 to 44 years age group have the highest median household income at $98,485, followed by those in the 45 to 64 years age group with an income of $89,007. Meanwhile householders within the under 25 years age group report the second lowest median household income of $64,558. Notably, householders within the 65 years and over age group, had the lowest median household income at $56,379.

    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.

    Age groups classifications include:

    • Under 25 years
    • 25 to 44 years
    • 45 to 64 years
    • 65 years and over

    Variables / Data Columns

    • Age Of The Head Of Household: This column presents the age of the head of household
    • Median Household Income: Median household income, in 2022 inflation-adjusted dollars for the specific age group

    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 Country Club median household income by age. You can refer the same here

  13. Malta Gross Annual Average Salary: Women

    • ceicdata.com
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    CEICdata.com, Malta Gross Annual Average Salary: Women [Dataset]. https://www.ceicdata.com/en/malta/gross-annual-average-salary/gross-annual-average-salary-women
    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
    Jun 1, 2015 - Mar 1, 2018
    Area covered
    Malta
    Variables measured
    Wage/Earnings
    Description

    Malta Gross Annual Average Salary: Women data was reported at 16,481.343 EUR in Jun 2018. This records a decrease from the previous number of 16,743.206 EUR for Mar 2018. Malta Gross Annual Average Salary: Women data is updated quarterly, averaging 12,507.183 EUR from Dec 2000 (Median) to Jun 2018, with 71 observations. The data reached an all-time high of 16,743.206 EUR in Mar 2018 and a record low of 8,919.610 EUR in Dec 2000. Malta Gross Annual Average Salary: Women data remains active status in CEIC and is reported by National Statistics Office - Malta. The data is categorized under Global Database’s Malta – Table MT.G007: Gross Annual Average Salary.

  14. a

    Decent Work and Economic Growth

    • sdg-hub-template-wci-test-umn.hub.arcgis.com
    • haiti-sdg.hub.arcgis.com
    • +9more
    Updated Jun 29, 2022
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    University of Minnesota (2022). Decent Work and Economic Growth [Dataset]. https://sdg-hub-template-wci-test-umn.hub.arcgis.com/items/bfbe7c0241c141ea84a1f628cf499c81
    Explore at:
    Dataset updated
    Jun 29, 2022
    Dataset authored and provided by
    University of Minnesota
    Area covered
    Description

    Goal 8Promote sustained, inclusive and sustainable economic growth, full and productive employment and decent work for allTarget 8.1: Sustain per capita economic growth in accordance with national circumstances and, in particular, at least 7 per cent gross domestic product growth per annum in the least developed countriesIndicator 8.1.1: Annual growth rate of real GDP per capitaNY_GDP_PCAP: Annual growth rate of real GDP per capita (%)Target 8.2: Achieve higher levels of economic productivity through diversification, technological upgrading and innovation, including through a focus on high-value added and labour-intensive sectorsIndicator 8.2.1: Annual growth rate of real GDP per employed personSL_EMP_PCAP: Annual growth rate of real GDP per employed person (%)Target 8.3: Promote development-oriented policies that support productive activities, decent job creation, entrepreneurship, creativity and innovation, and encourage the formalization and growth of micro-, small- and medium-sized enterprises, including through access to financial servicesIndicator 8.3.1: Proportion of informal employment in total employment, by sector and sexSL_ISV_IFEM: Proportion of informal employment, by sector and sex (ILO harmonized estimates) (%)Target 8.4: Improve progressively, through 2030, global resource efficiency in consumption and production and endeavour to decouple economic growth from environmental degradation, in accordance with the 10-Year Framework of Programmes on Sustainable Consumption and Production, with developed countries taking the leadIndicator 8.4.1: Material footprint, material footprint per capita, and material footprint per GDPEN_MAT_FTPRPG: Material footprint per unit of GDP, by type of raw material (kilograms per constant 2010 United States dollar)EN_MAT_FTPRPC: Material footprint per capita, by type of raw material (tonnes)EN_MAT_FTPRTN: Material footprint, by type of raw material (tonnes)Indicator 8.4.2: Domestic material consumption, domestic material consumption per capita, and domestic material consumption per GDPEN_MAT_DOMCMPT: Domestic material consumption, by type of raw material (tonnes)EN_MAT_DOMCMPG: Domestic material consumption per unit of GDP, by type of raw material (kilograms per constant 2010 United States dollars)EN_MAT_DOMCMPC: Domestic material consumption per capita, by type of raw material (tonnes)Target 8.5: By 2030, achieve full and productive employment and decent work for all women and men, including for young people and persons with disabilities, and equal pay for work of equal valueIndicator 8.5.1: Average hourly earnings of employees, by sex, age, occupation and persons with disabilitiesSL_EMP_EARN: Average hourly earnings of employees by sex and occupation (local currency)Indicator 8.5.2: Unemployment rate, by sex, age and persons with disabilitiesSL_TLF_UEM: Unemployment rate, by sex and age (%)SL_TLF_UEMDIS: Unemployment rate, by sex and disability (%)Target 8.6: By 2020, substantially reduce the proportion of youth not in employment, education or trainingIndicator 8.6.1: Proportion of youth (aged 15–24 years) not in education, employment or trainingSL_TLF_NEET: Proportion of youth not in education, employment or training, by sex and age (%)Target 8.7: Take immediate and effective measures to eradicate forced labour, end modern slavery and human trafficking and secure the prohibition and elimination of the worst forms of child labour, including recruitment and use of child soldiers, and by 2025 end child labour in all its formsIndicator 8.7.1: Proportion and number of children aged 5–17 years engaged in child labour, by sex and ageSL_TLF_CHLDEC: Proportion of children engaged in economic activity and household chores, by sex and age (%)SL_TLF_CHLDEA: Proportion of children engaged in economic activity, by sex and age (%)Target 8.8: Protect labour rights and promote safe and secure working environments for all workers, including migrant workers, in particular women migrants, and those in precarious employmentIndicator 8.8.1: Fatal and non-fatal occupational injuries per 100,000 workers, by sex and migrant statusSL_EMP_FTLINJUR: Fatal occupational injuries among employees, by sex and migrant status (per 100,000 employees)SL_EMP_INJUR: Non-fatal occupational injuries among employees, by sex and migrant status (per 100,000 employees)Indicator 8.8.2: Level of national compliance with labour rights (freedom of association and collective bargaining) based on International Labour Organization (ILO) textual sources and national legislation, by sex and migrant statusSL_LBR_NTLCPL: Level of national compliance with labour rights (freedom of association and collective bargaining) based on International Labour Organization (ILO) textual sources and national legislationTarget 8.9: By 2030, devise and implement policies to promote sustainable tourism that creates jobs and promotes local culture and productsIndicator 8.9.1: Tourism direct GDP as a proportion of total GDP and in growth rateST_GDP_ZS: Tourism direct GDP as a proportion of total GDP (%)Target 8.10: Strengthen the capacity of domestic financial institutions to encourage and expand access to banking, insurance and financial services for allIndicator 8.10.1: (a) Number of commercial bank branches per 100,000 adults and (b) number of automated teller machines (ATMs) per 100,000 adultsFB_ATM_TOTL: Number of automated teller machines (ATMs) per 100,000 adultsFB_CBK_BRCH: Number of commercial bank branches per 100,000 adultsIndicator 8.10.2: Proportion of adults (15 years and older) with an account at a bank or other financial institution or with a mobile-money-service providerFB_BNK_ACCSS: Proportion of adults (15 years and older) with an account at a financial institution or mobile-money-service provider, by sex (% of adults aged 15 years and older)Target 8.a: Increase Aid for Trade support for developing countries, in particular least developed countries, including through the Enhanced Integrated Framework for Trade-related Technical Assistance to Least Developed CountriesIndicator 8.a.1: Aid for Trade commitments and disbursementsDC_TOF_TRDCMDL: Total official flows (commitments) for Aid for Trade, by donor countries (millions of constant 2018 United States dollars)DC_TOF_TRDDBMDL: Total official flows (disbursement) for Aid for Trade, by donor countries (millions of constant 2018 United States dollars)DC_TOF_TRDDBML: Total official flows (disbursement) for Aid for Trade, by recipient countries (millions of constant 2018 United States dollars)DC_TOF_TRDCML: Total official flows (commitments) for Aid for Trade, by recipient countries (millions of constant 2018 United States dollars)Target 8.b: By 2020, develop and operationalize a global strategy for youth employment and implement the Global Jobs Pact of the International Labour OrganizationIndicator 8.b.1: Existence of a developed and operationalized national strategy for youth employment, as a distinct strategy or as part of a national employment strategySL_CPA_YEMP: Existence of a developed and operationalized national strategy for youth employment, as a distinct strategy or as part of a national employment strategy

  15. Median salary of customer support workers worldwide 2017-2018

    • statista.com
    Updated Jul 11, 2025
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    Statista (2025). Median salary of customer support workers worldwide 2017-2018 [Dataset]. https://www.statista.com/statistics/1041136/customer-support-median-salary-worldwide/
    Explore at:
    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    The median wage for customer support workers worldwide rose slightly in 2018 to ****** U.S. dollars, according to a 2018 survey of employees in customer support roles. However, being a worldwide survey, this is not limited just to North America and Europe, where salaries tend to be higher.

  16. Sierra Leone SL: Survey Mean Consumption or Income per Capita: Total...

    • ceicdata.com
    Updated May 17, 2020
    + more versions
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    CEICdata.com (2020). Sierra Leone SL: Survey Mean Consumption or Income per Capita: Total Population: Annualized Average Growth Rate [Dataset]. https://www.ceicdata.com/en/sierra-leone/poverty/sl-survey-mean-consumption-or-income-per-capita-total-population-annualized-average-growth-rate
    Explore at:
    Dataset updated
    May 17, 2020
    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, 2018
    Area covered
    Sierra Leone
    Description

    Sierra Leone SL: Survey Mean Consumption or Income per Capita: Total Population: Annualized Average Growth Rate data was reported at 2.860 % in 2018. Sierra Leone SL: Survey Mean Consumption or Income per Capita: Total Population: Annualized Average Growth Rate data is updated yearly, averaging 2.860 % from Dec 2018 (Median) to 2018, with 1 observations. Sierra Leone SL: Survey Mean Consumption or Income per Capita: Total Population: Annualized Average Growth Rate data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Sierra Leone – Table SL.World Bank.WDI: Poverty. The growth rate in the welfare aggregate of the total population is computed as the annualized average growth rate in per capita real consumption or income of the total population in the income distribution in a country from household surveys over a roughly 5-year period. Mean per capita real consumption or income is measured at 2011 Purchasing Power Parity (PPP) using the PovcalNet (http://iresearch.worldbank.org/PovcalNet). For some countries means are not reported due to grouped and/or confidential data. The annualized growth rate is computed as (Mean in final year/Mean in initial year)^(1/(Final year - Initial year)) - 1. The reference year is the year in which the underlying household survey data was collected. In cases for which the data collection period bridged two calendar years, the first year in which data were collected is reported. The initial year refers to the nearest survey collected 5 years before the most recent survey available, only surveys collected between 3 and 7 years before the most recent survey are considered. The final year refers to the most recent survey available between 2011 and 2015. Growth rates for Iraq are based on survey means of 2005 PPP$. The coverage and quality of the 2011 PPP price data for Iraq and most other North African and Middle Eastern countries were hindered by the exceptional period of instability they faced at the time of the 2011 exercise of the International Comparison Program. See PovcalNet for detailed explanations.; ; World Bank, Global Database of Shared Prosperity (GDSP) circa 2011-2016 (http://www.worldbank.org/en/topic/poverty/brief/global-database-of-shared-prosperity).; ; The comparability of welfare aggregates (consumption or income) for the chosen years T0 and T1 is assessed for every country. If comparability across the two surveys is a major concern for a country, the selection criteria are re-applied to select the next best survey year(s). Annualized growth rates are calculated between the survey years, using a compound growth formula. The survey years defining the period for which growth rates are calculated and the type of welfare aggregate used to calculate the growth rates are noted in the footnotes.

  17. N

    Hill Country Village, TX Median Income by Age Groups Dataset: A...

    • neilsberg.com
    csv, json
    Updated Aug 7, 2024
    + more versions
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    Neilsberg Research (2024). Hill Country Village, TX Median Income by Age Groups Dataset: A Comprehensive Breakdown of Hill Country Village Annual Median Income Across 4 Key Age Groups // 2024 Edition [Dataset]. https://www.neilsberg.com/research/datasets/a3dc2c70-54ae-11ef-a42e-3860777c1fe6/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Aug 7, 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
    Texas, Hill Country Village
    Variables measured
    Income for householder under 25 years, Income for householder 65 years and over, Income for householder between 25 and 44 years, Income for householder between 45 and 64 years
    Measurement technique
    The data presented in this dataset is derived from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates. It delineates income distributions across four age groups (Under 25 years, 25 to 44 years, 45 to 64 years, and 65 years and over) following an initial analysis and categorization. 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 the distribution of median household income among distinct age brackets of householders in Hill Country Village. Based on the latest 2018-2022 5-Year Estimates from the American Community Survey, it displays how income varies among householders of different ages in Hill Country Village. It showcases how household incomes typically rise as the head of the household gets older. The dataset can be utilized to gain insights into age-based household income trends and explore the variations in incomes across households.

    Key observations: Insights from 2022

    In terms of income distribution across age cohorts, in Hill Country Village, the median household income stands at $260,314 for householders within the 25 to 44 years age group, followed by $260,314 for the 45 to 64 years age group. Notably, householders within the 65 years and over age group, had the lowest median household income at $168,553.

    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.

    Age groups classifications include:

    • Under 25 years
    • 25 to 44 years
    • 45 to 64 years
    • 65 years and over

    Variables / Data Columns

    • Age Of The Head Of Household: This column presents the age of the head of household
    • Median Household Income: Median household income, in 2022 inflation-adjusted dollars for the specific age group

    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 Hill Country Village median household income by age. You can refer the same here

  18. N

    Town And Country, MO median household income breakdown by race betwen 2013...

    • neilsberg.com
    csv, json
    Updated Mar 1, 2025
    + more versions
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    Neilsberg Research (2025). Town And Country, MO median household income breakdown by race betwen 2013 and 2023 [Dataset]. https://www.neilsberg.com/research/datasets/ed3b4eab-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
    Town and Country
    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 Town And Country. 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 Town And Country, the median household income for the households where the householder is White increased by $17,735(8.14%), between 2013 and 2023. The median household income, in 2023 inflation-adjusted dollars, was $217,890 in 2013 and $235,625 in 2023.
    • Black or African American: In Town And Country, the median household income for Black or African American households was $50,483 in 2013(2023 inflation-adjusted dollars). However there is no reported data for 2023, indicating a lack of information for this specific year.
    • 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 Town And Country.
    • 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 Town And Country median household income by race. You can refer the same here

  19. Malta Gross Annual Average Salary: Men

    • ceicdata.com
    Updated Jan 15, 2025
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    CEICdata.com (2024). Malta Gross Annual Average Salary: Men [Dataset]. https://www.ceicdata.com/en/malta/gross-annual-average-salary/gross-annual-average-salary-men
    Explore at:
    Dataset updated
    Jan 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
    Malta
    Variables measured
    Wage/Earnings
    Description

    Malta Gross Annual Average Salary: Men data was reported at 20,850.245 EUR in Jun 2018. This records an increase from the previous number of 20,076.519 EUR for Mar 2018. Malta Gross Annual Average Salary: Men data is updated quarterly, averaging 14,658.118 EUR from Dec 2000 (Median) to Jun 2018, with 71 observations. The data reached an all-time high of 20,850.245 EUR in Jun 2018 and a record low of 11,452.550 EUR in Dec 2000. Malta Gross Annual Average Salary: Men data remains active status in CEIC and is reported by National Statistics Office - Malta. The data is categorized under Global Database’s Malta – Table MT.G007: Gross Annual Average Salary.

  20. N

    Brazos Country, TX Median Income by Age Groups Dataset: A Comprehensive...

    • neilsberg.com
    csv, json
    Updated Aug 7, 2024
    + more versions
    Share
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    Neilsberg Research (2024). Brazos Country, TX Median Income by Age Groups Dataset: A Comprehensive Breakdown of Brazos Country Annual Median Income Across 4 Key Age Groups // 2024 Edition [Dataset]. https://www.neilsberg.com/research/datasets/a3c74de9-54ae-11ef-a42e-3860777c1fe6/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Aug 7, 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
    Brazos Country, Texas
    Variables measured
    Income for householder under 25 years, Income for householder 65 years and over, Income for householder between 25 and 44 years, Income for householder between 45 and 64 years
    Measurement technique
    The data presented in this dataset is derived from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates. It delineates income distributions across four age groups (Under 25 years, 25 to 44 years, 45 to 64 years, and 65 years and over) following an initial analysis and categorization. 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 the distribution of median household income among distinct age brackets of householders in Brazos Country. Based on the latest 2018-2022 5-Year Estimates from the American Community Survey, it displays how income varies among householders of different ages in Brazos Country. It showcases how household incomes typically rise as the head of the household gets older. The dataset can be utilized to gain insights into age-based household income trends and explore the variations in incomes across households.

    Key observations: Insights from 2022

    In terms of income distribution across age cohorts, in Brazos Country, the median household income stands at $213,056 for householders within the 45 to 64 years age group, followed by $172,241 for the 25 to 44 years age group. Notably, householders within the 65 years and over age group, had the lowest median household income at $97,401.

    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.

    Age groups classifications include:

    • Under 25 years
    • 25 to 44 years
    • 45 to 64 years
    • 65 years and over

    Variables / Data Columns

    • Age Of The Head Of Household: This column presents the age of the head of household
    • Median Household Income: Median household income, in 2022 inflation-adjusted dollars for the specific age group

    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 Brazos Country median household income by age. You can refer the same here

Share
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Email
Click to copy link
Link copied
Close
Cite
Statista (2025). Pay gap between CEOs and average workers, by country 2018 [Dataset]. https://www.statista.com/statistics/424159/pay-gap-between-ceos-and-average-workers-in-world-by-country/
Organization logo

Pay gap between CEOs and average workers, by country 2018

Explore at:
14 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
May 30, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
2018
Area covered
Worldwide
Description

The United States topped the list in 2018 for the country with the highest gap between CEO and worker pay. In that year, for every U.S. dollar an average worker received, the average CEO earned 265 U.S. dollars. India, the United Kingdom, South Africa, and the Netherlands rounded out the top five for countries with the highest CEO to worker pay.

The 99 percent

It is a well-known issue that wages for average workers in the United States have been stagnating. Average hourly earnings for American employees, which have been hovering just below 11 U.S. dollars, have not gone up by much over the past year. The federal minimum wage in the United States has been 2.13 U.S. dollars for tipped workers and 7.25 U.S. dollars for non-tipped workers since 2009 and would be much higher today if minimum wage was adjusted for inflation.

The one percent

The gap between normal workers and CEOs is particularly high in the U.S. The richest CEO in 2018 was Elon Musk, with an annual compensation of about 2.84 billion U.S. dollars. America is also home to the world’s richest man, Jeff Bezos, who is the head of Amazon.com.

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