Forms of work: An overview of the new statistical standards
An introduction to the conceptual frameworks for forms of work and labour force statistics, including labour underutilization.
Database descriptions, statistical standards (resolutions and guidelines), and guides and manuals – all the metadata to better understand the labour statistics presented on ILOSTAT.
Find resolutions, guidelines, meeting room documents and reports related to the International Conference of Labour Statisticians (ICLS).
Labour force survey (LFS) resources
Online resources for data producers to build or improve their labour force survey, such as PAPI and CAPI model questionnaires.
Online resources for data producers to improve their population census to be in line with the latest international statistical standards for labour.
Labour market information systems (LMIS)
Learn more about LMIS and what we can offer in terms of tools, capacity building activities and technical assistance in labour statistics.
Selected data tools
Access all ILOSTAT data, including detailed cross-tabulations and special requests not made available through other data tools. Recommended for researchers!
Quickly find, filter, pivot, map and download data in various formats.
Data catalogues by region
International Conference of Labour Statisticians (ICLS)
The ICLS meets every 5 years to establish international standards on labour statistics. The 21st ICLS will be held this year from 11-20 October.
See the upcoming schedule for major events, training and workshops in labour statistics.
Capacity building and technical assistance
We provide training and support with the implementation of international statistical standards, data production, analysis and dissemination.
Learn about the ILO Department of Statistics’ role in the field of labour statistics, including contributions to capacity building and SDGs.
Learn more about the international standards on labour statistics (a. conventions and recommendations and b. resolutions and guidelines).
Learn more about the ILO’s programme of methodological research to identify and promote good practices in the collection and reporting of labour statistics.
Discover the main methods to compile and produce ILOSTAT data: automated data collection, microdata processing and an annual questionnaire.
Learn about ILOSTAT dissemination tools, including those available to data producers, and analytical products.
The ILO seeks partners to improve the production and dissemination of labour statistics for better evidence-based policy. See our current partnerships.
Instructions on how to make best use of the ILOSTAT website to find data, methods and resources for labour statistics.
This catalogue of national data sources presented in ILOSTAT provides an overview of worldwide sources available for labour statistics.
Find selected publications featuring ILOSTAT data.
Learn about the latest labour statistics trends using ILOSTAT data and get insights into methodological issues.
Forms of work: An overview of the new statistical standards
An introduction to the conceptual frameworks for forms of work and labour force statistics, including labour underutilization.
Database descriptions, statistical standards (resolutions and guidelines), and guides and manuals – all the metadata to better understand the labour statistics presented on ILOSTAT.
Find resolutions, guidelines, meeting room documents and reports related to the International Conference of Labour Statisticians (ICLS).
Labour force survey (LFS) resources
Online resources for data producers to build or improve their labour force survey, such as PAPI and CAPI model questionnaires.
Online resources for data producers to improve their population census to be in line with the latest international statistical standards for labour.
Labour market information systems (LMIS)
Learn more about LMIS and what we can offer in terms of tools, capacity building activities and technical assistance in labour statistics.
Selected data tools
Access all ILOSTAT data, including detailed cross-tabulations and special requests not made available through other data tools. Recommended for researchers!
Quickly find, filter, pivot, map and download data in various formats.
Data catalogues by region
International Conference of Labour Statisticians (ICLS)
The ICLS meets every 5 years to establish international standards on labour statistics. The 21st ICLS will be held this year from 11-20 October.
See the upcoming schedule for major events, training and workshops in labour statistics.
Capacity building and technical assistance
We provide training and support with the implementation of international statistical standards, data production, analysis and dissemination.
Learn about the ILO Department of Statistics’ role in the field of labour statistics, including contributions to capacity building and SDGs.
Learn more about the international standards on labour statistics (a. conventions and recommendations and b. resolutions and guidelines).
Learn more about the ILO’s programme of methodological research to identify and promote good practices in the collection and reporting of labour statistics.
Discover the main methods to compile and produce ILOSTAT data: automated data collection, microdata processing and an annual questionnaire.
Learn about ILOSTAT dissemination tools, including those available to data producers, and analytical products.
The ILO seeks partners to improve the production and dissemination of labour statistics for better evidence-based policy. See our current partnerships.
Instructions on how to make best use of the ILOSTAT website to find data, methods and resources for labour statistics.
This catalogue of national data sources presented in ILOSTAT provides an overview of worldwide sources available for labour statistics.
Find selected publications featuring ILOSTAT data.
Learn about the latest labour statistics trends using ILOSTAT data and get insights into methodological issues.
The COVID-19 pandemic has laid bare not only inequalities in the world of work, including between women and men, but it has also further emphasised the gender data gaps that hamper our understanding of the depth, nature and evolution of those inequalities.
