New statistical standards will improve the measurement of the informal economy, providing more useful and complete data to address informality through targeted policies.
This quick guide explains the differences between the 13th and 19th ICLS standards, the impact of the revisions on headline indicators, and how the ILO handles this on ILOSTAT.
The framework on work statistics has been widely publicized over the years, particularly to data producers and policymakers, as it was designed to improve labour market and gender analysis. But little has been said to data users interested in international comparisons. Until now. Here is the ILOSTAT solution to handling the impacts of revised definitions occurring on different schedules across the globe.
Concise description of concepts and definitions, uses, sources and limitations for (paid and unpaid) work statistics based on the 19th ICLS standards.
This Data2X-ILO joint report builds on previous ILO reports on how new measurement approaches can help close gender data gaps in the world of work by further illustrating the differences between how women and men work and how improved measurement can support women’s economic empowerment.
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.
This brief gives a summary overview of the impact of the introduction of the 19th ICLS statistical standards on labour statistics, as compared with the previous standards from the 13th ICLS. The key gender differences between the frameworks are illustrated using data collected from pilot studies completed between 2015 and 2017.
This report provides a detailed overview of the relevance of the 19th ICLS for gender analysis of participation in work and the labour market. It uses data from the pilot studies completed between 2015 and 2017 to illustrate the wide range of analytical potential when the new standards are implemented.
The pandemic is radically impacting our lives. But what about the statistics used to assess those impacts? Without timely and accurate information, we will not act through adequate and informed policies. Though numbers should focus on the health of the population, we also need to understand what is happening in the domain of labour statistics. That is, how is COVID-19 affecting our working lives? What is less obvious, however, is that the pandemic is also affecting our ability to compile such statistics.
Technical assistance projects: Highlights from Q1 2020 to present Africa Abidjan: To provide training during a sub-regional workshop for French-speaking countries in West Africa and Maghreb sub-regions to strengthen national capacities in data analysis on child labour (funded by the project “Accelerating action for the elimination of child labour in supply chains in Africa” – …
