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The source for the regional labour market information down to NUTS level 2 is the EU Labour Force Survey (EU-LFS). This is a quarterly household sample survey conducted in all Member States of the EU, the United Kingdom, EFTA and Candidate countries.
The EU-LFS survey follows the definitions and recommendations of the http://ec.europa.eu/eurostat/statistics-explained/index.php/Glossary:International_Labour_Organization_(ILO)">International Labour Organisation (ILO). To achieve further harmonisation, the Member States also adhere to common principles when formulating questionnaires. The LFS' target population is made up of all persons in private households aged 15 and over. For more information see the EU-LFS (Statistics Explained) webpage.
The EU-LFS is designed to give accurate quarterly information at national level as well as annual information at NUTS 2 regional level and the compilation of these figures is well specified in the regulation. Microdata including the NUTS 2 level codes are provided by all the participating countries with a good degree of geographical comparability, which allows the production and dissemination of a complete set of comparable indicators for this territorial level.
At present the transmission of the regional labour market data at NUTS 3 level has no legal basis. However, many countries transmit NUTS 3 figures to Eurostat on a voluntary basis, under the understanding that they are not for publication with such detail, but for aggregation by territorial typologies, i.e. urban-rural, metropolitan, coastal, mountain, borders and island typology. Most of the NUTS 3 data are based on the LFS while some countries transmit data based on registers, administrative data, small area estimation and other reliable sources.
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Nigeria NG: Labour Force Participation Rate: Modeled ILO Estimate: % of Total Population Aged 15+ data was reported at 55.147 % in 2017. This records a decrease from the previous number of 55.151 % for 2016. Nigeria NG: Labour Force Participation Rate: Modeled ILO Estimate: % of Total Population Aged 15+ data is updated yearly, averaging 55.096 % from Dec 1990 (Median) to 2017, with 28 observations. The data reached an all-time high of 56.446 % in 1990 and a record low of 54.736 % in 2004. Nigeria NG: Labour Force Participation Rate: Modeled ILO Estimate: % of Total Population Aged 15+ data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Nigeria – Table NG.World Bank.WDI: Labour Force. Labor force participation rate is the proportion of the population ages 15 and older that is economically active: all people who supply labor for the production of goods and services during a specified period.; ; International Labour Organization, ILOSTAT database. Data retrieved in September 2018.; Weighted average; Data up to 2016 are estimates while data from 2017 are projections. National estimates are also available in the WDI database. Caution should be used when comparing ILO estimates with national estimates.
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Kenya KE: Unemployment: Modeled ILO Estimate: % of Total Labour Force data was reported at 11.470 % in 2017. This records a decrease from the previous number of 11.520 % for 2016. Kenya KE: Unemployment: Modeled ILO Estimate: % of Total Labour Force data is updated yearly, averaging 10.481 % from Dec 1991 (Median) to 2017, with 27 observations. The data reached an all-time high of 12.170 % in 2009 and a record low of 10.000 % in 1999. Kenya KE: Unemployment: Modeled ILO Estimate: % of Total Labour Force data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Kenya – Table KE.World Bank: 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, ILOSTAT database. Data retrieved in September 2018.; Weighted average; Data up to 2016 are estimates while data from 2017 are projections. National estimates are also available in the WDI database. Caution should be used when comparing ILO estimates with national estimates.
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Yemen YE: Labour Force Participation Rate: Modeled ILO Estimate: Aged 15-24 data was reported at 26.748 % in 2017. This records a decrease from the previous number of 27.083 % for 2016. Yemen YE: Labour Force Participation Rate: Modeled ILO Estimate: Aged 15-24 data is updated yearly, averaging 32.961 % from Dec 1990 (Median) to 2017, with 28 observations. The data reached an all-time high of 37.037 % in 1999 and a record low of 25.959 % in 2014. Yemen YE: Labour Force Participation Rate: Modeled ILO Estimate: Aged 15-24 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Yemen – Table YE.World Bank: Labour Force. Labor force participation rate for ages 15-24 is the proportion of the population ages 15-24 that is economically active: all people who supply labor for the production of goods and services during a specified period.; ; International Labour Organization, ILOSTAT database. Early release of the 2017 ILO Labour Force Estimates and Projections, retrieved in November 2017.; Weighted Average; Data up to 2016 are estimates while data from 2017 are projections. National estimates are also available in the WDI database. Caution should be used when comparing ILO estimates with national estimates.
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SM: Labour Force With Advanced Education: Female: % of Female Working-age Population data was reported at 76.960 % in 2022. This records a decrease from the previous number of 77.730 % for 2021. SM: Labour Force With Advanced Education: Female: % of Female Working-age Population data is updated yearly, averaging 76.960 % from Dec 2016 (Median) to 2022, with 3 observations. The data reached an all-time high of 77.730 % in 2021 and a record low of 54.600 % in 2016. SM: Labour Force With Advanced Education: Female: % of Female Working-age Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s San Marino – Table SM.World Bank.WDI: Labour Force. The ratio of the labor force with advanced education to the working-age population with advanced education. Advanced education comprises short-cycle tertiary education, a bachelor’s degree or equivalent education level, a master’s degree or equivalent education level, or doctoral degree or equivalent education level according to the International Standard Classification of Education 2011 (ISCED 2011).;International Labour Organization. “Education and Mismatch Indicators database (EMI)” ILOSTAT. Accessed January 07, 2025. https://ilostat.ilo.org/data/.;Weighted average;
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License information was derived automatically
The source for the regional labour market information down to NUTS level 2 is the EU Labour Force Survey (EU-LFS). This is a quarterly household sample survey conducted in all Member States of the EU, the United Kingdom, EFTA and Candidate countries.
The EU-LFS survey follows the definitions and recommendations of the http://ec.europa.eu/eurostat/statistics-explained/index.php/Glossary:International_Labour_Organization_(ILO)">International Labour Organisation (ILO). To achieve further harmonisation, the Member States also adhere to common principles when formulating questionnaires. The LFS' target population is made up of all persons in private households aged 15 and over. For more information see the EU-LFS (Statistics Explained) webpage.
The EU-LFS is designed to give accurate quarterly information at national level as well as annual information at NUTS 2 regional level and the compilation of these figures is well specified in the regulation. Microdata including the NUTS 2 level codes are provided by all the participating countries with a good degree of geographical comparability, which allows the production and dissemination of a complete set of comparable indicators for this territorial level.
At present the transmission of the regional labour market data at NUTS 3 level has no legal basis. However, many countries transmit NUTS 3 figures to Eurostat on a voluntary basis, under the understanding that they are not for publication with such detail, but for aggregation by territorial typologies, i.e. urban-rural, metropolitan, coastal, mountain, borders and island typology. Most of the NUTS 3 data are based on the LFS while some countries transmit data based on registers, administrative data, small area estimation and other reliable sources.
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TwitterIn 2025, there were estimated to be approximately *** billion people employed worldwide, compared to **** billion people in 1991 - an increase of around *** billion people. There was a noticeable fall in global employment between 2019 and 2020, when the number of employed people fell from due to the sudden economic shock caused by the COVID-19 pandemic. Formal vs. Informal employment globally Worldwide, there is a large gap between the informally and formally employed. Most informally employed workers reside in the Global South, especially Africa and Southeast Asia. Moreover, men are slightly more likely to be informally employed than women. The majority of informal work, nearly ** percent, is within the agricultural sector, with domestic work and construction following behind. Women’s employment As the number of employees has risen globally, so has the number of employed women. Overall, care roles such as nursing and midwifery have the highest shares of female employees globally. Moreover, while the gender pay gap has shrunk over time, it still exists. As of 2024, the uncontrolled gender pay gap was ****, meaning women made, on average, ** cents per every dollar earned by men.
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TwitterFrom 2000 to 2024, the global employment-to-population ratio decreased steadily, with a significant drop in 2020 following the COVID-19 pandemic. The ratio was estimated to reach **** percent in 2025. North America was the region with the highest employment-to-population ratio worldwide in 2023.
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Nigeria NG: Labour Force Participation Rate: Modeled ILO Estimate: Female: % of Female Population Aged 15+ data was reported at 50.432 % in 2017. This records an increase from the previous number of 50.326 % for 2016. Nigeria NG: Labour Force Participation Rate: Modeled ILO Estimate: Female: % of Female Population Aged 15+ data is updated yearly, averaging 47.557 % from Dec 1990 (Median) to 2017, with 28 observations. The data reached an all-time high of 50.432 % in 2017 and a record low of 47.208 % in 1999. Nigeria NG: Labour Force Participation Rate: Modeled ILO Estimate: Female: % of Female Population Aged 15+ data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Nigeria – Table NG.World Bank: Labour Force. Labor force participation rate is the proportion of the population ages 15 and older that is economically active: all people who supply labor for the production of goods and services during a specified period.; ; International Labour Organization, ILOSTAT database. Data retrieved in September 2018.; Weighted average; Data up to 2016 are estimates while data from 2017 are projections. National estimates are also available in the WDI database. Caution should be used when comparing ILO estimates with national estimates.
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United Kingdom UK: Labour Force data was reported at 33,870,286.000 Person in 2017. This records an increase from the previous number of 33,693,492.000 Person for 2016. United Kingdom UK: Labour Force data is updated yearly, averaging 30,005,845.500 Person from Dec 1990 (Median) to 2017, with 28 observations. The data reached an all-time high of 33,870,286.000 Person in 2017 and a record low of 28,418,872.000 Person in 1995. United Kingdom UK: Labour Force data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United Kingdom – Table UK.World Bank.WDI: Labour Force. Labor force comprises people ages 15 and older who supply labor for the production of goods and services during a specified period. It includes people who are currently employed and people who are unemployed but seeking work as well as first-time job-seekers. Not everyone who works is included, however. Unpaid workers, family workers, and students are often omitted, and some countries do not count members of the armed forces. Labor force size tends to vary during the year as seasonal workers enter and leave.; ; Derived using data from International Labour Organization, ILOSTAT database and World Bank population estimates. Labor data retrieved in September 2018.; Sum; Data up to 2016 are estimates while data from 2017 are projections.
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NO: Labour Force Participation Rate: Modeled ILO Estimate: Male: % of Male Population Aged 15-64 data was reported at 80.001 % in 2017. This records a decrease from the previous number of 80.029 % for 2016. NO: Labour Force Participation Rate: Modeled ILO Estimate: Male: % of Male Population Aged 15-64 data is updated yearly, averaging 81.131 % from Dec 1990 (Median) to 2017, with 28 observations. The data reached an all-time high of 84.925 % in 1998 and a record low of 79.760 % in 2011. NO: Labour Force Participation Rate: Modeled ILO Estimate: Male: % of Male Population Aged 15-64 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Norway – Table NO.World Bank: Labour Force. Labor force participation rate is the proportion of the population ages 15-64 that is economically active: all people who supply labor for the production of goods and services during a specified period.; ; International Labour Organization, ILOSTAT database. Data retrieved in March 2017.; Weighted average; Caution should be used when comparing ILO estimates with national estimates.
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License information was derived automatically
The source for the regional labour market information down to NUTS level 2 is the EU Labour Force Survey (EU-LFS). This is a quarterly household sample survey conducted in all Member States of the EU, the United Kingdom, EFTA and Candidate countries.
The EU-LFS survey follows the definitions and recommendations of the http://ec.europa.eu/eurostat/statistics-explained/index.php/Glossary:International_Labour_Organization_(ILO)">International Labour Organisation (ILO). To achieve further harmonisation, the Member States also adhere to common principles when formulating questionnaires. The LFS' target population is made up of all persons in private households aged 15 and over. For more information see the EU-LFS (Statistics Explained) webpage.
The EU-LFS is designed to give accurate quarterly information at national level as well as annual information at NUTS 2 regional level and the compilation of these figures is well specified in the regulation. Microdata including the NUTS 2 level codes are provided by all the participating countries with a good degree of geographical comparability, which allows the production and dissemination of a complete set of comparable indicators for this territorial level.
At present the transmission of the regional labour market data at NUTS 3 level has no legal basis. However, many countries transmit NUTS 3 figures to Eurostat on a voluntary basis, under the understanding that they are not for publication with such detail, but for aggregation by territorial typologies, i.e. urban-rural, metropolitan, coastal, mountain, borders and island typology. Most of the NUTS 3 data are based on the LFS while some countries transmit data based on registers, administrative data, small area estimation and other reliable sources.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The source for the regional labour market information down to NUTS level 2 is the EU Labour Force Survey (EU-LFS). This is a quarterly household sample survey conducted in all Member States of the EU, the United Kingdom, EFTA and Candidate countries.
The EU-LFS survey follows the definitions and recommendations of the http://ec.europa.eu/eurostat/statistics-explained/index.php/Glossary:International_Labour_Organization_(ILO)">International Labour Organisation (ILO). To achieve further harmonisation, the Member States also adhere to common principles when formulating questionnaires. The LFS' target population is made up of all persons in private households aged 15 and over. For more information see the EU-LFS (Statistics Explained) webpage.
The EU-LFS is designed to give accurate quarterly information at national level as well as annual information at NUTS 2 regional level and the compilation of these figures is well specified in the regulation. Microdata including the NUTS 2 level codes are provided by all the participating countries with a good degree of geographical comparability, which allows the production and dissemination of a complete set of comparable indicators for this territorial level.
At present the transmission of the regional labour market data at NUTS 3 level has no legal basis. However, many countries transmit NUTS 3 figures to Eurostat on a voluntary basis, under the understanding that they are not for publication with such detail, but for aggregation by territorial typologies, i.e. urban-rural, metropolitan, coastal, mountain, borders and island typology. Most of the NUTS 3 data are based on the LFS while some countries transmit data based on registers, administrative data, small area estimation and other reliable sources.
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Germany DE: Labour Force Participation Rate: Modeled ILO Estimate: Female: Aged 15-24 data was reported at 51.481 % in 2024. This records an increase from the previous number of 51.433 % for 2023. Germany DE: Labour Force Participation Rate: Modeled ILO Estimate: Female: Aged 15-24 data is updated yearly, averaging 48.438 % from Dec 1990 (Median) to 2024, with 35 observations. The data reached an all-time high of 58.814 % in 1990 and a record low of 44.373 % in 2004. Germany DE: Labour Force Participation Rate: Modeled ILO Estimate: Female: Aged 15-24 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Germany – Table DE.World Bank.WDI: Labour Force. Labor force participation rate for ages 15-24 is the proportion of the population ages 15-24 that is economically active: all people who supply labor for the production of goods and services during a specified period.;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.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The source for the regional labour market information down to NUTS level 2 is the EU Labour Force Survey (EU-LFS). This is a quarterly household sample survey conducted in all Member States of the EU, the United Kingdom, EFTA and Candidate countries.
The EU-LFS survey follows the definitions and recommendations of the http://ec.europa.eu/eurostat/statistics-explained/index.php/Glossary:International_Labour_Organization_(ILO)">International Labour Organisation (ILO). To achieve further harmonisation, the Member States also adhere to common principles when formulating questionnaires. The LFS' target population is made up of all persons in private households aged 15 and over. For more information see the EU-LFS (Statistics Explained) webpage.
The EU-LFS is designed to give accurate quarterly information at national level as well as annual information at NUTS 2 regional level and the compilation of these figures is well specified in the regulation. Microdata including the NUTS 2 level codes are provided by all the participating countries with a good degree of geographical comparability, which allows the production and dissemination of a complete set of comparable indicators for this territorial level.
At present the transmission of the regional labour market data at NUTS 3 level has no legal basis. However, many countries transmit NUTS 3 figures to Eurostat on a voluntary basis, under the understanding that they are not for publication with such detail, but for aggregation by territorial typologies, i.e. urban-rural, metropolitan, coastal, mountain, borders and island typology. Most of the NUTS 3 data are based on the LFS while some countries transmit data based on registers, administrative data, small area estimation and other reliable sources.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The source for the regional labour market information down to NUTS level 2 is the EU Labour Force Survey (EU-LFS). This is a quarterly household sample survey conducted in all Member States of the EU, the United Kingdom, EFTA and Candidate countries.
The EU-LFS survey follows the definitions and recommendations of the http://ec.europa.eu/eurostat/statistics-explained/index.php/Glossary:International_Labour_Organization_(ILO)">International Labour Organisation (ILO). To achieve further harmonisation, the Member States also adhere to common principles when formulating questionnaires. The LFS' target population is made up of all persons in private households aged 15 and over. For more information see the EU-LFS (Statistics Explained) webpage.
The EU-LFS is designed to give accurate quarterly information at national level as well as annual information at NUTS 2 regional level and the compilation of these figures is well specified in the regulation. Microdata including the NUTS 2 level codes are provided by all the participating countries with a good degree of geographical comparability, which allows the production and dissemination of a complete set of comparable indicators for this territorial level.
At present the transmission of the regional labour market data at NUTS 3 level has no legal basis. However, many countries transmit NUTS 3 figures to Eurostat on a voluntary basis, under the understanding that they are not for publication with such detail, but for aggregation by territorial typologies, i.e. urban-rural, metropolitan, coastal, mountain, borders and island typology. Most of the NUTS 3 data are based on the LFS while some countries transmit data based on registers, administrative data, small area estimation and other reliable sources.
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DE: Labour Force Participation Rate: Modeled ILO Estimate: Male: % of Male Population Aged 15+ data was reported at 66.330 % in 2024. This records a decrease from the previous number of 66.588 % for 2023. DE: Labour Force Participation Rate: Modeled ILO Estimate: Male: % of Male Population Aged 15+ data is updated yearly, averaging 66.626 % from Dec 1990 (Median) to 2024, with 35 observations. The data reached an all-time high of 72.432 % in 1990 and a record low of 65.747 % in 2004. DE: Labour Force Participation Rate: Modeled ILO Estimate: Male: % of Male Population Aged 15+ data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Germany – Table DE.World Bank.WDI: Labour Force. Labor force participation rate is the proportion of the population ages 15 and older that is economically active: all people who supply labor for the production of goods and services during a specified period.;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.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The source for the regional labour market information down to NUTS level 2 is the EU Labour Force Survey (EU-LFS). This is a quarterly household sample survey conducted in all Member States of the EU, the United Kingdom, EFTA and Candidate countries.
The EU-LFS survey follows the definitions and recommendations of the http://ec.europa.eu/eurostat/statistics-explained/index.php/Glossary:International_Labour_Organization_(ILO)">International Labour Organisation (ILO). To achieve further harmonisation, the Member States also adhere to common principles when formulating questionnaires. The LFS' target population is made up of all persons in private households aged 15 and over. For more information see the EU-LFS (Statistics Explained) webpage.
The EU-LFS is designed to give accurate quarterly information at national level as well as annual information at NUTS 2 regional level and the compilation of these figures is well specified in the regulation. Microdata including the NUTS 2 level codes are provided by all the participating countries with a good degree of geographical comparability, which allows the production and dissemination of a complete set of comparable indicators for this territorial level.
At present the transmission of the regional labour market data at NUTS 3 level has no legal basis. However, many countries transmit NUTS 3 figures to Eurostat on a voluntary basis, under the understanding that they are not for publication with such detail, but for aggregation by territorial typologies, i.e. urban-rural, metropolitan, coastal, mountain, borders and island typology. Most of the NUTS 3 data are based on the LFS while some countries transmit data based on registers, administrative data, small area estimation and other reliable sources.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The source for the regional labour market information down to NUTS level 2 is the EU Labour Force Survey (EU-LFS). This is a quarterly household sample survey conducted in all Member States of the EU, the United Kingdom, EFTA and Candidate countries.
The EU-LFS survey follows the definitions and recommendations of the http://ec.europa.eu/eurostat/statistics-explained/index.php/Glossary:International_Labour_Organization_(ILO)">International Labour Organisation (ILO). To achieve further harmonisation, the Member States also adhere to common principles when formulating questionnaires. The LFS' target population is made up of all persons in private households aged 15 and over. For more information see the EU-LFS (Statistics Explained) webpage.
The EU-LFS is designed to give accurate quarterly information at national level as well as annual information at NUTS 2 regional level and the compilation of these figures is well specified in the regulation. Microdata including the NUTS 2 level codes are provided by all the participating countries with a good degree of geographical comparability, which allows the production and dissemination of a complete set of comparable indicators for this territorial level.
At present the transmission of the regional labour market data at NUTS 3 level has no legal basis. However, many countries transmit NUTS 3 figures to Eurostat on a voluntary basis, under the understanding that they are not for publication with such detail, but for aggregation by territorial typologies, i.e. urban-rural, metropolitan, coastal, mountain, borders and island typology. Most of the NUTS 3 data are based on the LFS while some countries transmit data based on registers, administrative data, small area estimation and other reliable sources.
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Japan JP: Labour Force Participation Rate: Modeled ILO Estimate: Female: % of Female Population Aged 15+ data was reported at 50.496 % in 2017. This records a decrease from the previous number of 50.600 % for 2016. Japan JP: Labour Force Participation Rate: Modeled ILO Estimate: Female: % of Female Population Aged 15+ data is updated yearly, averaging 49.377 % from Dec 1990 (Median) to 2017, with 28 observations. The data reached an all-time high of 50.798 % in 1992 and a record low of 48.286 % in 2012. Japan JP: Labour Force Participation Rate: Modeled ILO Estimate: Female: % of Female Population Aged 15+ data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Japan – Table JP.World Bank.WDI: Labour Force. Labor force participation rate is the proportion of the population ages 15 and older that is economically active: all people who supply labor for the production of goods and services during a specified period.; ; International Labour Organization, ILOSTAT database. Data retrieved in September 2018.; Weighted average; Data up to 2016 are estimates while data from 2017 are projections. National estimates are also available in the WDI database. Caution should be used when comparing ILO estimates with national estimates.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The source for the regional labour market information down to NUTS level 2 is the EU Labour Force Survey (EU-LFS). This is a quarterly household sample survey conducted in all Member States of the EU, the United Kingdom, EFTA and Candidate countries.
The EU-LFS survey follows the definitions and recommendations of the http://ec.europa.eu/eurostat/statistics-explained/index.php/Glossary:International_Labour_Organization_(ILO)">International Labour Organisation (ILO). To achieve further harmonisation, the Member States also adhere to common principles when formulating questionnaires. The LFS' target population is made up of all persons in private households aged 15 and over. For more information see the EU-LFS (Statistics Explained) webpage.
The EU-LFS is designed to give accurate quarterly information at national level as well as annual information at NUTS 2 regional level and the compilation of these figures is well specified in the regulation. Microdata including the NUTS 2 level codes are provided by all the participating countries with a good degree of geographical comparability, which allows the production and dissemination of a complete set of comparable indicators for this territorial level.
At present the transmission of the regional labour market data at NUTS 3 level has no legal basis. However, many countries transmit NUTS 3 figures to Eurostat on a voluntary basis, under the understanding that they are not for publication with such detail, but for aggregation by territorial typologies, i.e. urban-rural, metropolitan, coastal, mountain, borders and island typology. Most of the NUTS 3 data are based on the LFS while some countries transmit data based on registers, administrative data, small area estimation and other reliable sources.