In many countries, informal employment represents a significant part of the economy and labour market and plays a major role in production, employment creation and income generation. However, informality puts workers at a higher risk of vulnerability and precariousness. Indeed, informality has a strong adverse impact on the adequacy of earnings, occupational safety and health and working conditions in general.
In the context of fragmented labour markets or insufficient social safety nets or where wages and/or working hours in formal jobs are low, workers may resort to informal employment. Thus, key labour indicators such as the unemployment rate and time-related underemployment would fail to convey a full picture of the labour market.
Statistics on informal employment provide valuable information on the quality of employment and are crucial to a comprehensive understanding of the labour market, in both developing and developed countries.
In early 2021, the ILO Statistics Department started a three-year project to engender informality statistics, funded by the Bill & Melinda Gates Foundation. The project is running in parallel to the broader review of standards for informality statistics, currently undertaken through the ILO's Working Group on the Review of Informality Statistics. It supports integration of gender in the new standards, and the development of gender-related guidance and tools for measuring informality.
The main activity of the project is to test statistical concepts and household survey questionnaires, using cognitive interviewing in two countries in 2021 and a pilot field test in one country in 2022. The findings from those tests will support the working group in its discussions and drafting of the new standards, to be adopted by the 21st ICLS in 2023.
The project is also assessing the existing and anticipated needs for gender data on informality (data demand) and reviewing the use of data in strategy setting and policy formulation, making recommendations to strengthen the production, accessibility and use of gender statistics on informality.
For more information, please contact Jessica Gardner, Department of Statistics (firstname.lastname@example.org).
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