In order to enable international comparisons, particularly within the European Union, Eurostat has set up the Labour Force Survey (LFS). By combining a set of issues, it makes it possible to measure aggregates such as labour force, employment and unemployment in the same way in all countries and in accordance with the recommendations of the International Labour Office (ILO). This survey has been ongoing in Belgium since 1999 (before, only in spring). However, it provides reliable data only at regional level (Wallonia, Flanders, Brussels). Therefore, in order to be able to compare Belgian districts and municipalities with other areas at international level, the IWEPS calculates data calibrated on the Labour Force Survey. The totals, by sex, age and region, correspond exactly to those published by Statbel, the Belgian statistical office. These data may differ slightly from the data published by Eurostat, which reviews the whole series each year [...].

The indicator reports the number of people who are unemployed, looking for a job and available for employment in the labour force aged 15 to 64, on an annual average. It measures the imbalance between labour supply and demand.

See also:

— on our website “\2”

— on Statbel’s website, the Labour Force Survey ‘\2’.

Ukraine Labour Force: Working Age: Urban: ILO: Unemployment Rate data was reported at 9.700 % in 2017. This records an increase from the previous number of 9.500 % for 2016. Ukraine Labour Force: Working Age: Urban: ILO: Unemployment Rate data is updated yearly, averaging 8.850 % from Dec 2004 (Median) to 2017, with 14 observations. The data reached an all-time high of 10.200 % in 2009 and a record low of 7.000 % in 2008. Ukraine Labour Force: Working Age: Urban: ILO: Unemployment Rate data remains active status in CEIC and is reported by State Statistics Service of Ukraine. The data is categorized under Global Database’s Ukraine – Table UA.G010: Labour Force: Annual. Persons in working ages are men 16–59 years old and women aged 16–54 years old inclusively.

Ukraine Labour Force: Working Age: Female: ILO: Unemployment Rate data was reported at 8.100 % in 2017. This records an increase from the previous number of 8.000 % for 2016. Ukraine Labour Force: Working Age: Female: ILO: Unemployment Rate data is updated yearly, averaging 7.800 % from Dec 2004 (Median) to 2017, with 14 observations. The data reached an all-time high of 9.100 % in 2004 and a record low of 6.700 % in 2007. Ukraine Labour Force: Working Age: Female: ILO: Unemployment Rate data remains active status in CEIC and is reported by State Statistics Service of Ukraine. The data is categorized under Global Database’s Ukraine – Table UA.G010: Labour Force: Annual. Persons in working ages are men 16–59 years old and women aged 16–54 years old inclusively.

Unemployment Rate - Persons aged 15 years and over by Region - Italy

Unemployment data from iStat corporate data warehouse

Romania ILO Unemployment Rate: 15-74 Years: Female data was reported at 5.200 % in Jan 2025. This records a decrease from the previous number of 5.600 % for Dec 2024. Romania ILO Unemployment Rate: 15-74 Years: Female data is updated monthly, averaging 5.900 % from Jan 2004 (Median) to Jan 2025, with 253 observations. The data reached an all-time high of 9.300 % in Dec 2011 and a record low of 3.800 % in Feb 2020. Romania ILO Unemployment Rate: 15-74 Years: Female data remains active status in CEIC and is reported by National Institute of Statistics. The data is categorized under Global Database’s Romania – Table RO.G015: ILO Unemployment Rate.

This feature layer represents Sustainable Development Goal indicator 8.5.2 'Unemployment Rate' for Ireland. The layer was created using data produced by the Central Statistics Office (CSO) as part of the CSO's Labour Force Survey (LFS) 2018 Q4 and NUTS 3 (2016) boundary data produced by Tailte Éireann (more info). The LFS uses the International Labour Organisation definition for unemployment.

In 2015 UN countries adopted a set of 17 goals to end poverty, protect the planet and ensure prosperity for all as part of a new sustainable development agenda. Each goal has specific targets to help achieve the goals set out in the agenda by 2030. Governments are committed to establishing national frameworks for the achievement of the 17 Goals and to review progress using accessible quality data. With these goals in mind the CSO and Tailte Éireann are working together to link geography and statistics to produce indicators that help communicate and monitor Ireland’s performance in relation to achieving the 17 sustainable development goals.The indicator displayed supports the efforts to achieve goal number 8 which aims to promote sustained, inclusive and sustainable economic growth, full and productive employment and decent work for all.

The unemployment rate in Taiwan was forecast to remain on a similar level in 2029 as compared to 2024 with 3.67 percent. According to this forecast, the rate will stay nearly the same over the forecast period. This indicator describes the unemployment rate which can be defined by either the national definition, the ILO harmonized definition, or the OECD harmonized definition. The latter defines it as the number of unemployed people divided by the total labour force.Find more key insights for the unemployment rate in countries like Macao SAR China, China, and South Korea.

QNQ24 - ILO Participation, Employment and Unemployment Characteristics. Published by Central Statistics Office. Available under the license Creative Commons Attribution 4.0 (CC-BY-4.0).ILO Participation, Employment and Unemployment Characteristics...

Unemployment rate can be defined by either the national definition, the ILO harmonized definition, or the OECD harmonized definition. The OECD harmonized unemployment rate gives the number of unemployed persons as a percentage of the labor force (the total number of people employed plus unemployed). [OECD Main Economic Indicators, OECD, monthly] As defined by the International Labour Organization, unemployed workers are those who are currently not working but are willing and able to work for pay, currently available to work, and have actively searched for work. [ILO, http://www.ilo.org/public/english/bureau/stat/res/index.htm]

In order to enable international comparisons, in particular within the European Union, Eurostat has set up the Labour Force Survey (LFS). By combining a set of questions, it makes it possible to measure aggregates such as the labour force, employment and unemployment in the same way in all countries and in line with the recommendations of the International Labour Office (ILO). This survey has been carried out continuously in Belgium since 1999 (before, only in spring). However, it only provides reliable data at regional level (Wallonia, Flanders, Brussels). Therefore, in order to be able to compare Belgian districts and municipalities with other areas at international level, IWEPS calculates calibrated data on the Labour Force Survey. The totals, by sex, age and region, correspond exactly to those published by Statbel, the Belgian Statistical Office. These data may differ slightly from the data published by Eurostat which reviews the whole series each year [...]. The indicator reports the number of people who are unemployed, looking for a job and available to work to the active population aged 15-64, as an annual average. It measures the imbalance between labour supply and demand. Estimate based on EFT, SPF Economy, ONSS, ONSSAPL, INASTI, INAMI, ONEm-Stat92, BCSS, ESE 2001, IGSS and Steunpunt Werk data up to 2018 and then IWEPS estimates from 2019 onwards, and FOREM, VDAB data for the flash estimate for the last year. See also: — on our website “\ 2” — on the Statbel site, the Labour Forces Survey ‘\ 2’.

(CDID: ZXDM) Year - Labour market statistics time series Main labour market statistics time series data.

In order to enable international comparisons, in particular within the European Union, Eurostat has set up the Labour Force Survey (LFS). By combining a set of questions, it makes it possible to measure aggregates such as the labour force, employment and unemployment in the same way in all countries and in line with the recommendations of the International Labour Office (ILO). This survey has been carried out continuously in Belgium since 1999 (before, only in spring). However, it only provides reliable data at regional level (Wallonia, Flanders, Brussels). Therefore, in order to be able to compare Belgian districts and municipalities with other areas at international level, IWEPS calculates calibrated data on the Labour Force Survey. The totals, by sex, age and region, correspond exactly to those published by Statbel, the Belgian Statistical Office. These data may differ slightly from the data published by Eurostat which reviews the whole series each year [...]. The indicator reports the number of people who are unemployed, looking for a job and available to work to the active population aged 15-64, as an annual average. It measures the imbalance between labour supply and demand. Estimate based on EFT, SPF Economy, ONSS, ONSSAPL, INASTI, INAMI, ONEm-Stat92, BCSS, ESE 2001, IGSS and Steunpunt Werk data up to 2018 and then IWEPS estimates from 2019 onwards, and FOREM, VDAB data for the flash estimate for the last year. See also: — on our website “\ 2” — on the Statbel site, the Labour Forces Survey ‘\ 2’.

The localised unemployment rate calibrated on the labour force survey (LFS), by administrative unit (region, province, district and municipality) for Belgium.

Azerbaijan Unemployment Rate: Annual: ILO: Female data was reported at 6.300 % in 2023. This records a decrease from the previous number of 6.500 % for 2022. Azerbaijan Unemployment Rate: Annual: ILO: Female data is updated yearly, averaging 6.300 % from Dec 2000 (Median) to 2023, with 22 observations. The data reached an all-time high of 12.700 % in 2000 and a record low of 5.500 % in 2008. Azerbaijan Unemployment Rate: Annual: ILO: Female data remains active status in CEIC and is reported by The State Statistical Committee of the Republic of Azerbaijan. The data is categorized under Global Database’s Azerbaijan – Table AZ.G008: Unemployment and Unemployment Rate: ILO Definition.

Azerbaijan Unemployment: ILO data was reported at 282.300 Person th in Dec 2024. This records a decrease from the previous number of 283.200 Person th for Sep 2024. Azerbaijan Unemployment: ILO data is updated quarterly, averaging 254.200 Person th from Dec 2007 (Median) to Dec 2024, with 69 observations. The data reached an all-time high of 368.700 Person th in Dec 2020 and a record low of 235.500 Person th in Sep 2015. Azerbaijan Unemployment: ILO data remains active status in CEIC and is reported by The State Statistical Committee of the Republic of Azerbaijan. The data is categorized under Global Database’s Azerbaijan – Table AZ.G008: Unemployment and Unemployment Rate: ILO Definition.

(CDID: A48Z) Year - Labour market statistics time series Main labour market statistics time series data.

Ghana GH: Unemployment: Modeled ILO Estimate: % of Total Labour Force data was reported at 2.355 % in 2017. This records an increase from the previous number of 2.260 % for 2016. Ghana GH: Unemployment: Modeled ILO Estimate: % of Total Labour Force data is updated yearly, averaging 4.932 % from Dec 1991 (Median) to 2017, with 27 observations. The data reached an all-time high of 10.360 % in 2000 and a record low of 2.154 % in 2015. Ghana GH: 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 Ghana – Table GH.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 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.

Brunei BN: Unemployment: Modeled ILO Estimate: Youth: % of Total Labour Force Aged 15-24 data was reported at 18.498 % in 2023. This records an increase from the previous number of 18.299 % for 2022. Brunei BN: Unemployment: Modeled ILO Estimate: Youth: % of Total Labour Force Aged 15-24 data is updated yearly, averaging 18.682 % from Dec 1991 (Median) to 2023, with 33 observations. The data reached an all-time high of 30.809 % in 2018 and a record low of 14.240 % in 1991. Brunei BN: Unemployment: Modeled ILO Estimate: Youth: % of Total Labour Force Aged 15-24 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Brunei – Table BN.World Bank.WDI: Employment and Unemployment. Youth unemployment refers to the share of the labor force ages 15-24 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.

Azerbaijan Unemployment Rate: Annual: ILO: Male data was reported at 4.700 % in 2023. This records a decrease from the previous number of 4.800 % for 2022. Azerbaijan Unemployment Rate: Annual: ILO: Male data is updated yearly, averaging 4.750 % from Dec 2000 (Median) to 2023, with 22 observations. The data reached an all-time high of 10.900 % in 2000 and a record low of 4.000 % in 2014. Azerbaijan Unemployment Rate: Annual: ILO: Male data remains active status in CEIC and is reported by The State Statistical Committee of the Republic of Azerbaijan. The data is categorized under Global Database’s Azerbaijan – Table AZ.G008: Unemployment and Unemployment Rate: ILO Definition.

Afghanistan Unemployment: Modeled ILO Estimate: Female: % of Female Labour Force data was reported at 26.570 % in 2023. This records a decrease from the previous number of 26.742 % for 2022. Afghanistan Unemployment: Modeled ILO Estimate: Female: % of Female Labour Force data is updated yearly, averaging 10.439 % from Dec 1991 (Median) to 2023, with 33 observations. The data reached an all-time high of 26.742 % in 2022 and a record low of 10.230 % in 2010. Afghanistan Unemployment: Modeled ILO Estimate: Female: % of Female Labour Force data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Afghanistan – Table AF.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.