Database descriptions, statistical standards (resolutions and guidelines), and guides and manuals – all the metadata to better understand the labour statistics presented on ILOSTAT.
methods
Statistical Methodology Series 10 – Identification of ICSE-18 through labour force surveys
This report illustrates Key findings and implications for questionnaire design obtained from the pilot studies carried out by the ILO in Uganda and Peru in relation to the identification of status in employment based on the International Classification of Status in Employment (ICSE-18). Working relationships are inextricably linked to – and have direct implications for – the identification and measurement of informality. Thus, ensuring both are measured well is key to improving our understanding of informality.
Statistical Methodology Series 9 – Engendering informality project
The report provides an overview of the labour force survey pilot studies carried out by the ILO Department of Statistics in Uganda and Peru under the Engendering Informality Statistics project funded by the Bill & Melinda Gates Foundation. The main activity of the project was to test statistical concepts and measurement approaches in household survey questionnaires to generate evidence on what works when collecting data with a gender lens.
Statistical Methodology Series 9 – Engendering informality project Read More »
New standards, increased visibility: improving measurement of the informal economy
New statistical standards will improve the measurement of the informal economy, providing more useful and complete data to address informality through targeted policies.
New standards, increased visibility: improving measurement of the informal economy Read More »
Quick guide to understanding the impact of the new statistical standards on ILOSTAT databases
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.
New ILO database updates work-related indicators to meet latest standards
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.
New ILO database updates work-related indicators to meet latest standards Read More »
Work Statistics – 19th ICLS (WORK database)
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 »
Making Women’s Work Visible: The 19th ICLS Standards, Purpose and Progress
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.
Making Women’s Work Visible: The 19th ICLS Standards, Purpose and Progress Read More »
Lessons from the pandemic: Building better gender data for the future
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.
Lessons from the pandemic: Building better gender data for the future Read More »
Lessons from the COVID-19 pandemic: Gender relevance of the 19th ICLS statistical standards
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.