The ILOSTAT database is the central statistics database of the International Labour Organization (ILO) and provides annual, quarterly and monthly labour market statistics for over 100 indicators and over 200 countries worldwide. Bulk downloads are available for the following labour market-related sets: 1) Yearly indicators: contains standardised indicators for purposes of greater comparability across countries and relies heavily on the official submission of data by national authorities to the ILO; 2) ILO estimates: contains country estimates and projections of the total population, labour force, and participation rates by sex and age; 3) YouthSTATS: contains a comprehensive set of labour market indicators for young people between the ages of 15 and 29 years in the developing world. Here we focus on work and employment.

Geographic coverage

National coverage

Analysis unit

households/individuals

Kind of data

survey

Frequency of data collection

Quarterly

Sampling procedure

Sample size:

Cameroon CM: Unemployment: National Estimate: Youth Male: % of Male Labour Force Aged 15-24 data was reported at 5.181 % in 2021. This records a decrease from the previous number of 5.813 % for 2014. Cameroon CM: Unemployment: National Estimate: Youth Male: % of Male Labour Force Aged 15-24 data is updated yearly, averaging 5.231 % from Dec 2007 (Median) to 2021, with 4 observations. The data reached an all-time high of 5.813 % in 2014 and a record low of 4.175 % in 2007. Cameroon CM: Unemployment: National Estimate: Youth Male: % of Male 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 Cameroon – Table CM.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. Definitions of labor force and unemployment differ by country.;International Labour Organization. “Labour Force Statistics database (LFS)” ILOSTAT. Accessed January 07, 2025. https://ilostat.ilo.org/data/.;Weighted average;The series for ILO estimates is also available in the WDI database. Caution should be used when comparing ILO estimates with national estimates.

ILO Participation and Unemployment Rates by Quarter, Sex and Statistic

View data using web pages

Download .px file (Software required)

🇩🇪 독일

QLF31 - 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...

ILOSTAT provides users with comprehensive international data across a wide range of labour-related topics. But how does the ILO collect and compile all these data? Three main methods are used: microdata processing, automated data collection, and the annual ILOSTAT questionnaire. In addition to these, the ILO produces modelled estimates and projections for selected indicators. ILOSTAT data are widely re-used by other organizations for their datasets and as inputs into world recognized indices. Examples include: World Bank World Development Indicators (WDI) United Nations Statistics Division Sustainable Development Goals (SDGs) Minimum Set of Gender Indicators Monthly Bulletin of Statistics Online United Nations Development Programme Human Development Index (HDI) Gender Development Index (GDI) Gender Inequality Index (GII) Life-course Gender Gap Dashboard OECD World Indicators of Skills for Employment (WISE) WIPO Global Innovation Index (GII)

QLF18 - 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...

Geographic coverage

National coverage

Analysis unit

households/individuals

Kind of data

survey

Frequency of data collection

Quarterly: average based on 3 monthly data points

Sampling procedure

Sample size:

These data are taken from the ANNUAL datasets from the Labour Force Survey (LFS) carried out by the Office for National Statistics (ONS), providing labour market data back to 1996 for the NUTS2 areas in Wales, and back to 2001 for the local authorities in Wales. The availability of local authority data is dependent upon on an enhanced sample (around 350 per cent larger) for the annual LFS, which commenced in 2001. For years labelled 1996 to 2004 in this dataset, the actual periods covered are the 12 months running from March in the year given to February in the following year (e.g. 2001 = 1 March 2001 to 28 February 2002). Since 2004, the annual data have been produced on a rolling annual basis, updated every three months, and the dataset is now referred to as the Annual Population Survey (APS). The rolling annual averages are on a calendar basis with the first rolling annual average presented here covering the period 1 January 2004 to 31 December 2004, followed by data covering the period 1 April 2004 to 31 March 2005, with rolling quarterly updates applied thereafter. Note therefore that the consecutive rolling annual averages overlap by nine months, and there is also a two-month overlap between the last period presented on the former March to February basis, and the first period on the new basis. The population can be broken down into economically active and economically inactive populations. The economically active population is made up of persons in employment, and persons unemployed according to the International Labour Organisation (ILO) definition. This report allows the user to access these data. Although each measure is available for different population bases, there is an official standard population base used for each of the measures, as follows. Population aged 16 and over: Economic activity level, Employment level, ILO unemployment level Population aged 16-64: Economic inactivity level 16-64 population is used as the base for economic inactivity. By excluding persons of pensionable age who are generally retired and therefore economically inactive, this gives a more appropriate measure of workforce inactivity. Rates for each of the above measures are also calculated in a standard manner and are available in the dataset. With the exception of the ILO unemployment rate, each rate is defined in terms of the shares of population that fall into each category. The ILO unemployment rate is defined as ILO unemployed persons as a percentage of the economically active population. Although each rate is available for the different population bases, there is an official standard population base used for each of the rates, as follows. Percentage of population aged 16-64: Economic activity, Employment,. Economic inactivity Percentage of economically active population aged 16 and over: ILO unemployment

(CDID: LF2F) Month - Labour market statistics time series Main labour market statistics time series data.

Geographic coverage

National coverage

Analysis unit

households/individuals

Kind of data

survey

Frequency of data collection

Quarterly

Sampling procedure

Sample size:

Geographic coverage

National coverage

Analysis unit

households/individuals

Kind of data

survey

Frequency of data collection

Twice a year: February and August

Sampling procedure

Sample size:

Persons aged 15 years and over in Employment (ILO) (Thousand) by Quarter and Duration of Employment

View data using web pages

Download .px file (Software required)

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

Employment in computer programming, consultancy and related activities (ISIC-Rev.4, 2 digit level: 62). Value expressed in thousands. For more details: https://ilostat.ilo.org/methods/concepts-and-definitions/description-labour-force-statistics/

Geographic coverage

National coverage

Analysis unit

households/individuals

Kind of data

survey

Frequency of data collection

Monthly

Sampling procedure

Sample size:

Persons in employment (ILO) aged 20 to 69 years without a pension (%) by Employment Status, Quarter and Reasons for not having a Pension

View data using web pages

Download .px file (Software required)

Persons in employment (ILO) aged 20 to 69 years with a pension (%) by Hours of Work, Type of Pension and Quarter

View data using web pages

Download .px file (Software required)

Argentina AR: Unemployment: National Estimate: Female: % of Female Labour Force data was reported at 6.778 % in 2023. This records a decrease from the previous number of 7.660 % for 2022. Argentina AR: Unemployment: National Estimate: Female: % of Female Labour Force data is updated yearly, averaging 9.825 % from Dec 1982 (Median) to 2023, with 37 observations. The data reached an all-time high of 22.300 % in 1995 and a record low of 4.190 % in 1984. Argentina AR: Unemployment: National 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 Argentina – Table AR.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. Definitions of labor force and unemployment differ by country.;International Labour Organization. “Labour Force Statistics database (LFS)” ILOSTAT. Accessed January 07, 2025. https://ilostat.ilo.org/data/.;Weighted average;The series for ILO estimates is also available in the WDI database. Caution should be used when comparing ILO estimates with national estimates.