International Labour Organization Employment Database serves as a unique worldwide reference and source of information on national employment policies, and strategies to promote youth employment.

The data included in Data360 is a subset of the data available from the source. Please refer to the source for complete data and methodology details.

This collection includes only a subset of indicators from the source dataset.

This dataset simulates a set of key economic, social, and environmental indicators for 20 countries over the period from 2010 to 2019. The dataset is designed to reflect typical World Bank metrics, which are used for analysis, policy-making, and forecasting. It includes the following variables:

Country Name: The country for which the data is recorded. Year: The specific year of the observation (from 2010 to 2019). GDP (USD): Gross Domestic Product in billions of US dollars, indicating the economic output of a country. Population: The total population of the country in millions. Life Expectancy (in years): The average life expectancy at birth for the country’s population. Unemployment Rate (%): The percentage of the total labor force that is unemployed but actively seeking employment. CO2 Emissions (metric tons per capita): The per capita carbon dioxide emissions, reflecting environmental impact. Access to Electricity (% of population): The percentage of the population with access to electricity, representing infrastructure development. Country:

Description: Name of the country for which the data is recorded. Data Type: String Example: "United States", "India", "Brazil" Year:

Description: The year in which the data is observed. Data Type: Integer Range: 2010 to 2019 Example: 2012, 2015 GDP (USD):

Description: The Gross Domestic Product of the country in billions of US dollars, indicating the economic output. Data Type: Float (billions of USD) Example: 14200.56 (represents 14,200.56 billion USD) Population:

Description: The total population of the country in millions. Data Type: Float (millions of people) Example: 331.42 (represents 331.42 million people) Life Expectancy (in years):

Description: The average number of years a newborn is expected to live, assuming that current mortality rates remain constant throughout their life. Data Type: Float (years) Range: Typically between 50 and 85 years Example: 78.5 years Unemployment Rate (%):

Description: The percentage of the total labor force that is unemployed but actively seeking employment. Data Type: Float (percentage) Range: Typically between 2% and 25% Example: 6.25% CO2 Emissions (metric tons per capita):

Description: The amount of carbon dioxide emissions per person in the country, measured in metric tons. Data Type: Float (metric tons) Range: Typically between 0.5 and 20 metric tons per capita Example: 4.32 metric tons per capita Access to Electricity (%):

Description: The percentage of the population with access to electricity. Data Type: Float (percentage) Range: Typically between 50% and 100% Example: 95.7%

The share of full-time employees at the World Bank who were based outside the United States increased from 2015 to 2023, reaching nearly ** percent. Only in 2020, at the height of the COVID-19 pandemic, did more than half of the employees work outside the U.S.. The World Bank Group and its subunits provide loans to low- and middle-income countries.

The number of full-time employees at the World Bank increased from 2016 to 2024, reaching ******. The World Bank Group and its subunits provide loans to low- and middle-income countries.

Data that captures industry and country-specific employment growth based on updates to LinkedIn member profiles.

This dataset is part of the LinkedIn - World Bank partnership, which helps governments and researchers understand rapidly evolving labor markets with detailed and dynamic data. It allows leaders to benchmark and compare labor markets across the world; analyze skills, occupations, migration, and industries; and leverage real-time data to make policy changes.

Visualizations for many of these data are available at linkedindata.worldbank.org. The data cover 2015-2019, are refreshed on an annual basis, and are available for 140 countries.

Additional experimental data is available by request via the Development Data Partnership.

The Global Jobs Indicators Database, JOIN, presents more than 100 labor market indicators for 168 countries and 1,802 surveys. The indicators cover socio-demographics, labor force status, employment type, employment composition by sector and occupation, education level completed, hours worked, earnings, and also provide information on survey quality. The indicators are nationally representative and available for different types of workers. This includes workers in urban or rural areas, men and women, younger (age 15-24) and older (age 25-64) workers, or workers with lower and higher education.

Employment to population ratio, 15+, female (%) (modeled ILO estimate) in World was reported at 46.6 % in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. World - Employment to population ratio, 15+, female - actual values, historical data, forecasts and projections were sourced from the World Bank on November of 2025.

Graph and download economic data for Employment to Population Ratio for World (SLEMPTOTLSPZSWLD) from 1991 to 2024 about employment-population ratio, population, and employment.

Burundi Male Employment in Agriculture jumped by 0points in 2019, from a year earlier.

🌍 This dataset provides global youth unemployment rates for individuals aged 15–24 across all available countries and years, giving a comprehensive view of labor market conditions for young people worldwide.

🔍 Youth unemployment measures young people who are actively looking for work but cannot find a job. According to World Bank standards, students who are not participating in the labor force are not included, while students who are actively job-seeking are counted. Only individuals who are available for work and searching for employment are considered unemployed. This makes the dataset a precise reflection of labor market pressure among young job seekers.

📊 This dataset contains 17,290 rows and 4 columns: Country, CountryCode, Year, and YouthUnemployment. It includes data for all available countries and territories and spans the years 1960–2023. Some values are missing for certain countries and years where data is not available.

💹 Youth unemployment is an important indicator of economic health, social development, and workforce stability. Monitoring these rates helps reveal patterns in youth labor markets, including regional disparities, historical trends, and the effects of economic policies. The dataset allows for cross-country comparisons, time-series analysis, and identification of long-term shifts in youth employment opportunities. It is a valuable resource for researchers, policymakers, educators, and analysts seeking to understand the challenges faced by young populations as they transition from education to the workforce.

Brazil BR: Employment In Agriculture: Modeled ILO Estimate: % of Total Employment data was reported at 8.203 % in 2023. This records a decrease from the previous number of 8.731 % for 2022. Brazil BR: Employment In Agriculture: Modeled ILO Estimate: % of Total Employment data is updated yearly, averaging 13.549 % from Dec 1991 (Median) to 2023, with 33 observations. The data reached an all-time high of 18.811 % in 1992 and a record low of 8.203 % in 2023. Brazil BR: Employment In Agriculture: Modeled ILO Estimate: % of Total Employment data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Brazil – Table BR.World Bank.WDI: Employment and Unemployment. Employment is defined as persons of working age who were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period or not at work due to temporary absence from a job, or to working-time arrangement. The agriculture sector consists of activities in agriculture, hunting, forestry and fishing, in accordance with division 1 (ISIC 2) or categories A-B (ISIC 3) or category A (ISIC 4).;International Labour Organization. “ILO modelled estimates database” ILOSTAT. Accessed January 07, 2025. https://ilostat.ilo.org/data/.;Weighted average;

Iran IR: Contributing Family Workers: Modeled ILO Estimate: Female: % of Female Employment data was reported at 17.288 % in 2017. This records a decrease from the previous number of 19.773 % for 2016. Iran IR: Contributing Family Workers: Modeled ILO Estimate: Female: % of Female Employment data is updated yearly, averaging 26.715 % from Dec 1991 (Median) to 2017, with 27 observations. The data reached an all-time high of 35.254 % in 2005 and a record low of 17.288 % in 2017. Iran IR: Contributing Family Workers: Modeled ILO Estimate: Female: % of Female Employment data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Iran – Table IR.World Bank.WDI: Employment and Unemployment. Contributing family workers are those workers who hold 'self-employment jobs' as own-account workers in a market-oriented establishment operated by a related person living in the same household.; ; International Labour Organization, ILOSTAT database. Data retrieved in September 2018.; Weighted average; Data up to 2016 are estimates while data from 2017 are projections.

Employment to population ratio, 15+, total (%) (modeled ILO estimate) in World was reported at 58.12 % in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. World - Employment to population ratio, 15+, total - actual values, historical data, forecasts and projections were sourced from the World Bank on November of 2025.

Graph and download economic data for Employment to Population Ratio for Greece (SLEMPTOTLSPZSGRC) from 1991 to 2024 about Greece, employment-population ratio, population, and employment.

The Jobs Diagnostic Tools page contains a range of useful tools to identify the main jobs challenges faced by a country - especially those that appear to be binding constraints to improving jobs outcomes for poor people and vulnerable communities.

Barbados BB: Self-Employed: Modeled ILO Estimate: % of Total Employment data was reported at 20.465 % in 2023. This records an increase from the previous number of 20.413 % for 2022. Barbados BB: Self-Employed: Modeled ILO Estimate: % of Total Employment data is updated yearly, averaging 15.627 % from Dec 1991 (Median) to 2023, with 33 observations. The data reached an all-time high of 20.512 % in 2021 and a record low of 12.252 % in 1997. Barbados BB: Self-Employed: Modeled ILO Estimate: % of Total Employment data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Barbados – Table BB.World Bank.WDI: Employment and Unemployment. Self-employed workers are those workers who, working on their own account or with one or a few partners or in cooperative, hold the type of jobs defined as a 'self-employment jobs.' i.e. jobs where the remuneration is directly dependent upon the profits derived from the goods and services produced. Self-employed workers include four sub-categories of employers, own-account workers, members of producers' cooperatives, and contributing family workers.;International Labour Organization. “ILO modelled estimates database” ILOSTAT. Accessed January 07, 2025. https://ilostat.ilo.org/data/.;Weighted average;

Dataset

This dataset was created by MarcoMarchetti

Released under World Bank Dataset Terms of Use

Contents

Bangladesh BD: Unemployment: Modeled ILO Estimate: Male: % of Male Labour Force data was reported at 4.329 % in 2024. This records an increase from the previous number of 4.274 % for 2023. Bangladesh BD: Unemployment: Modeled ILO Estimate: Male: % of Male Labour Force data is updated yearly, averaging 3.138 % from Dec 1991 (Median) to 2024, with 34 observations. The data reached an all-time high of 5.056 % in 2021 and a record low of 2.231 % in 1991. Bangladesh BD: Unemployment: Modeled ILO Estimate: Male: % of Male Labour Force data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Bangladesh – Table BD.World Bank.WDI: Employment and Unemployment. Unemployment refers to the share of the labor force that is without work but available for and seeking employment.;International Labour Organization. “ILO Modelled Estimates and Projections database (ILOEST)” ILOSTAT. Accessed January 07, 2025. https://ilostat.ilo.org/data/.;Weighted average;National estimates are also available in the WDI database. Caution should be used when comparing ILO estimates with national estimates.

Employment in services (% of total employment) (modeled ILO estimate) in Panama was reported at 67.83 % in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. Panama - Employment in services (% of total employment) - actual values, historical data, forecasts and projections were sourced from the World Bank on November of 2025.

Philippines PH: Contributing Family Workers: Modeled ILO Estimate: Male: % of Male Employment data was reported at 5.720 % in 2017. This records a decrease from the previous number of 5.877 % for 2016. Philippines PH: Contributing Family Workers: Modeled ILO Estimate: Male: % of Male Employment data is updated yearly, averaging 10.303 % from Dec 1991 (Median) to 2017, with 27 observations. The data reached an all-time high of 11.808 % in 1994 and a record low of 5.720 % in 2017. Philippines PH: Contributing Family Workers: Modeled ILO Estimate: Male: % of Male Employment data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Philippines – Table PH.World Bank.WDI: Employment and Unemployment. Contributing family workers are those workers who hold 'self-employment jobs' as own-account workers in a market-oriented establishment operated by a related person living in the same household.; ; International Labour Organization, ILOSTAT database. Data retrieved in September 2018.; Weighted average; Data up to 2016 are estimates while data from 2017 are projections.