Labour Market Statistics and Analysis Academy

The Academy is held annually. It offers a curricula covering the full statistical production process from high level planning and identification of core indicators to be constructed, to questionnaire design, indicator calculation, analysis, interpretation and communication of the results.


SDG8: Decent work and economic growth
SDG17: Partnerships for the goals
SDG 17: Systemic Issues
Demographic and social statistics
2030 Agenda
capacity building
data collection
labour force
statistical data

The course begins with an overview of the scope of labour market statistics and the key sources of data which are typically used for this purpose, including some strengths and weaknesses of key sources.

This is followed by an overview of the key conceptual framework which is the source of internationally adopted definitions of employment, unemployment, work and related topics.

A key focus is placed on labour force survey, with the provision of an overview of key areas of methodology including questionnaire design, sampling, application of classifications and dissemination among other stages of the statistical process.

Some additional key topics such as gender mainstreaming in labour statistics, earnings and informality are also covered.

A feature of the academy design is a multi-track design which provides the same content on certain aspects for all participants in plenary, while for limited parts of the academy different choices are made available reflecting the participants preference to focus on analysis or survey planning or other options at different points in the programme.

The resource persons providing the training are professional statistical staff of the International Labour Organisation with additional external experts for some components where appropriate.

The academy is hosted at the ILO ITC training centre in Turin on an annual basis in the last quarter of the year in English. The duration of the academy is 2 weeks. The academy has also been hosted in other locations (for example Cote d'Ivoire) and delivered in French.

In future instances it is intended to host the academy in additional locations and the three ILO official languages (English, French and Spanish) subject to available resources and demands.

Further details can be found at:

Target Audience

The Academy targets in particular:

(1) Labour Statisticians from national statistical offices, Ministries of Labour and related institutions (such as labour observatories) from ILO member countries, in particular from developing countries;

(2) Employment and development policy analysts from national statistical offices, government ministries, research and academic institutions, labour observatories, international organisations and donor organisations; and

(3) Senior Managers from national statistical offices and departments in Ministries of Labour and related institutions (such as labour observatories) dealing with the production and dissemination of labour market statistics.

Learning Objectives

The Academy seeks to create a broad based understanding of labour market statistics covering the different stages of the statistical life cycle, in particular compilation and analysis.  Following completion of the course participants should be able to:

- Understand the scope of labour market statistics required for national and international reporting and the concept of a labour market information system

- Understand the key concepts underlying labour market statistics, including those relating to work, employment and labour underutilization along with informality, key classifications and labour related concepts

- Understand the different sources which can be used to compile labour statistics and the key advantages and disadvantages

- Understand the key features of a labour force survey and gain a high level understanding of key elements of the methodology including questionnaire design, sampling, application of classifications and dissemination

- Understand how to analyse labour market data using STATA

- Understand how to compile labour market related SDG indicators