methods

ICSE-18 e-manual

ICSE-18 e-manual Table of contents What’s new? Background In October 2018, the 20th International Conference of Labour Statisticians (ICLS) adopted the Resolution concerning statistics on work relationships to replace the ICSE-93 that had been adopted by the 15th ICLS in January 1993. The resolution includes a new international classification of status in employment (ICSE-18) as well as …

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What to know when comparing data on women and men’s 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.

Keeping labour data flowing during the COVID-19 pandemic

Losing the ability to collect data may not be one of the more obvious negative effects of the COVID-19 pandemic. However, nearly all countries in the world found it difficult to gather data precisely when demand was highest. A recent global survey by the ILO has highlighted just how great the impact was on the production of labour statistics and how countries responded to meet user needs for data.

Indicator description: Child labour

Introduction Child labour remains a persistent problem in the world today. It is a complex phenomenon as not all work done by children can be regarded as child labour. A distinction must be made between child labour, on the one hand, and children’s activities considered part of a natural socialisation process, on the other hand. Child …

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How to strengthen gender measures and data in the COVID-19 era

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.

Indicator description: International labour migration statistics

Introduction The ILOSTAT database on International Labour Migration Statistics (ILMS) is a set of indicators describing the number and profile of international migrant workers, their situation in the labour market and employment patterns, their main origin and destination countries and the magnitude of inward and outward migration flows.  Concepts and definitions According the ILO Guidelines …

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Will COVID-19 impair the availability and quality of labour statistics?

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.

Indicator description: Volunteer work

Introduction Volunteer work covers a wide range of unpaid activities performed by individuals to help others, to contribute to their communities, the environment, and to support different organizations. Available national data shows that people in all regions and from a wide range of social, cultural and economic backgrounds engage in volunteer work. Volunteer work helps …

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