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.
Breaking the bias for better gender data Read More »
Concise description of concepts and definitions, uses, sources and limitations for (paid and unpaid) work statistics based on the 19th ICLS standards.
Work Statistics – 19th ICLS (WORK database) Read More »
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.
Labour statistics: From standards to data Read More »
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.
What to know when comparing data on women and men’s work Read More »
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.
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.
How to strengthen gender measures and data in the COVID-19 era Read More »
In normal times, a billion people volunteer their time and energy each year, providing unpaid help to others. Has the COVID-19 pandemic led to even more volunteering worldwide?
Interest in volunteering reached new heights in March and April 2020 Read More »
Unpaid production work is the foundation of all other productive work, yet the time spent on these activities is often neglected in labour market analyses.
Millions of hours spent daily on unpaid work: evidence from Asia and the Pacific Read More »
Lack of data on how households and workers are being impacted by the pandemic can severely affect the formulation of programmes and policies aimed to help those most in need. In times of crisis, rapid surveys may be an alternative source of information where official household surveys such as LFS have been halted or postponed. This note provides modules for rapid surveys to shed light on the COVID-19 impacts on paid and unpaid work.
Capturing impacts on employment and unpaid work using Rapid Surveys Read More »
