Database descriptions, statistical standards (resolutions and guidelines), and guides and manuals – all the metadata to better understand the labour statistics presented 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.
Generating high quality statistics relies on eliminating gender bias at all stages of the production process. This blog looks at how gender bias occurs in statistics and what the ILO is doing to support efforts to minimize it.
Concise description of concepts and definitions, uses, sources and limitations for (paid and unpaid) work statistics based on the 19th ICLS standards.
This free masterclass is available on eCampus, ITCILO’s online learning platform.
Watch the 9 video lessons to hear directly from Senior Experts in the ILO Department of Statistics about the challenges and developments countries are facing nowadays in what concerns labour statistics, and how International Statistical Standards are instrumental in developing statistical systems global in order to pave the way for a better future that promotes social justice through decent work.
How many men and women were employed last week? How many hours did they work in their main jobs? And how many hours did they work in unpaid activities such as caring for children? These are seemingly straightforward questions but measuring paid and unpaid work through household surveys is anything but straightforward. This holds true especially for women in developing countries, who are more often engaged in informal activities such as microenterprises or small-scale farming — activities that can fall through the cracks of traditional surveys.
This report presents the findings of the ILO-World Bank study in Sri Lanka. It shows the key areas of inconsistency discovered between the labour force survey and multi-topic living standards survey, how those inconsistencies were addressed across a range of topics including the measurement of employment, labour underutilization and own-use production work. In addition, the report highlights the range of valuable data that can be generated when the 19th ICLS standards are applied through household surveys.
Measuring Women and Men’s Work: Summary of Main Findings and Recommendations from a Joint ILO and World Bank Study in Sri Lanka
This brief highlights the key lessons learned during the ILO-World Bank study in Sri Lanka. It provides recommendations for household surveys seeking to measure in line with the latest international statistical standards, in particular those adopted at the 19th ICLS.
The data is abundantly clear on one point: the COVID-19 pandemic has had a disproportionately negative impact on women. Because more women work in the tourism, retail, and informal sectors, which have been hardest hit by the pandemic, their livelihoods have been upended. Understanding the extent of this impact is the first step in reversing course. Yet the pandemic has also exposed and exacerbated data gaps that undermine our ability to act intentionally and craft effective policy responses.