Table of contents Featured publication See also Introduction The COVID Monitor database provides access to several of the indicators regularly featured in the ILO Monitor: COVID-19 and the world of work. It focusses on the evolution of working hours relative to the last pre-crisis quarter (the fourth quarter of 2019). Concepts and definitions The main …
Table of contents Statistical standards Featured publication See also Introduction The ILOSTAT database on youth labour market statistics is a set of indicators describing the labour market situation of young people between the ages of 15 and 29 years. It includes indicators on the labour force, employment, unemployment, school-to-work transitions, working time and earnings. Concepts …
Database description: Youth Labour Market Statistics (YouthSTATS) Read More »
Table of contents Statistical standards Featured publication See also Introduction The ILOSTAT database on disability labour market statistics is a set of indicators describing the gaps in the labour market outcomes between persons with and without disabilities. It includes indicators on the labour force, employment, unemployment, working time and earnings. Concepts and definitions The labour …
Database description: Disability Labour Market Indicators (DLMI) Read More »
Table of contents Featured publication See also Introduction As a custodian agency, the ILO reports to the UN data for 14 SDG indicators, grouped under 5 of the 17 Goals. The statistical indicators are presented in the ILOSDG database. These figures may differ from those in the UN SDG Global Indicators Database. Data are reported to the …
Database description: Labour Market-Related SDG Indicators (ILOSDG) Read More »
Introduction Labour cost provides an estimate of employers’ expenditure toward the employment of its workforce. It complements statistics on earnings because they reflect the two main facets of existing employment-related income measures: earnings aims to measure the income of employees, while labour cost show the costs incurred by employers for employing them. ILOSTAT contains a …
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 …
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.
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.
Table of contents Statistical standards Featured publication See also 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 …
Database description: Child Labour Statistics (CHILD) Read More »
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.