Table of Contents
The importance of employment as a pathway to economic development, social inclusion and well-being has long been recognised. As well as being at the heart of the ILO’s Decent Work Agenda, employment is a central element in the 2030 Agenda for Sustainable Development which places emphasis on promoting productive employment and decent work for all (Goal 8).
In this context, statistics on employment are crucial to monitor progress towards many national and international policy goals. These statistics must not just quantify work and people in employment but also provide meaningful information on the types of jobs people are doing.
The international statistical standards relating to employment have undergone significant changes over time, designed to improve their relevance and depth for policy makers. The most significant of these changes came at the 19th International Conference of Labour Statisticians in 2013 when the international community adopted the first statistical definition of work alongside a forms of work framework. Within the new framework, employment is defined as work performed in return for pay or profit. This is narrower than the scope of the previous definition which included some unpaid activities such as subsistence work.
Concise description of concepts and definitions, uses, sources and limitations of indicators in the Worker and Sector Profiles, including definitions for the groups of occupations and/or sectors recombined to create these profiles.
Concise description of concepts and definitions, uses, sources and limitations for labour force statistics in various databases (LFS, STLFS, RURBAN).
Concise description of concepts and definitions, uses, sources and limitations for (paid and unpaid) work statistics based on the 19th ICLS standards.
Discover the methods behind the ILO’s modelled estimates on labour force statistics (including the working poor), labour productivity, wage growth and labour migration.
ISIC is a standard classification of economic activities arranged so that entities can be classified according to the activity they carry out.
ISCO is a statistical framework that organizes jobs into a clearly defined set of groups according to the tasks and duties undertaken in the job.
See the latest international classifications for all forms of work and for employment according to type of authority and economic risk.
This companion guide provides guidance on the practical aspects of adapting ISCO-08 for national use or developing a national classification related to it.
A resolution adopted at the 20th ICLS includes a new international classification of status in employment (ICSE-18). This manual describes the revised classification, how it differs from the previous version, and how to implement it in a household survey.
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.
Working from a distance and working at home are not new phenomena but the relevance of their measurement has increased, not least due to the Covid-19 pandemic. This notes provide guidance to data producers on how the four different concepts of remote work, telework, work at home and home-based work should be statistically understood, how they relate to each other, and how they can be measured through a household survey.
Note: Many publications are available only in English. If available in other languages, a new page will open displaying the options on the right.
Labour markets have shown surprising resilience despite deteriorating economic conditions, but recovery from the pandemic remains uneven as new vulnerabilities and multiple crises are eroding prospects for greater social justice.
This issue of ILOSTAT’s Spotlight on work statistics focuses on employed people living in extreme poverty around the world. Using ILO’s global estimates of employment by economic class, it shows the great progress achieved during the last few decades in reducing working poverty in the world, and how more effort is still needed to completely eradicate it, particularly considering the strong regional disparities.
This brief casts light on the trends in employment by sector and occupation, by focusing first on the broad sectors and occupations at the global level before moving on to analysing regional patterns.