Visualization tool on the impact of latest statistical standards

This interactive visualization tool shows the impact of the latest statistical standards across a range of work-related topics, highlighting the increased analytical value of statistics.
Promoting the use of administrative data sources for international labour migration statistics in Türkiye

This case study highlights Türkiye’s use of national frameworks for leveraging administrative data to generate labour statistics on international migrants. It also contributes to revising the 2018 ICLS Guidelines.
Quick guide on the communication of results after implementation of latest standards on statistics of work, employment, and labour underutilization

A crucial aspect of the implementation of latest labour statistics standards is the effective communication of the results, to ensure getting the best out of the data. This guide aims to provide practical data visualization examples to convey clearly and intuitively the impact of methodological changes on key labour indicators following the implementation of the 19th ICLS resolution and avoid misinterpretation of the results.
Survey Questions for Collecting Data on Work Relationships and Informality

This document provides recommended survey questions for collecting data on work relationships (ICSE-18), informal employment, and the classification of economic units across three sectors: informal, formal, and household own-use production and community sector. (HOC). It incorporates the 20th ICLS resolution on work relationships (ICSE-18) and the 21st ICLS resolution on statistics for the informal economy.
User Guide for the Questionnaire for Self-Assessment of the Quality of Administrative Records (SAQUAR)

This user guide provides tips and clarifications for the completion of the Self-Assessment of the Quality of Administrative Records (SAQUAR) form, an adaptation of the Questionnaire for Evaluating the Quality of Administrative Records (CECRA, for its initials in Spanish) recommended by the Working Group on Administrative Records in the framework of the Statistical Conference of the Americas and coordinated by ECLAC.
How the latest statistical standards improve knowledge about rural women’s work

Latest statistical standards improve our knowledge of the challenges and decent work deficits that women in rural areas face. Such knowledge is key to formulating effective policies that foster the women’s potential for growth and development.
ILOSTAT Microdata Processing Quick Guide: Principles and methods underlying the ILO’s processing of anonymized household survey microdata

This Quick Guide (last updated in September 2024) presents the anonymized microdata processing undertaken by the Data Production and Analysis Unit in the ILO Department of Statistics. It describes why and how the unit carries out this activity, as well as the potential expansion of this work. It also mentions considerations and limitations to take into account by data users.
Promoting the use of administrative data sources for international labour migration statistics in Korea

This case study highlights how national frameworks in the Republic of Korea, including legislation, interagency coordination, and IT systems for secure data sharing, have increased the use of administrative data for international labor migration statistics. By documenting good national practices, it contributes to the revision of the ICLS Guidelines (2018) on statistics of international labour […]
Measuring international labour migration in the Republic of Korea

This case study contributes to the ongoing revision of the ICLS Guidelines on statistics of international labour migration (2018) by demonstrating the value of different data sources in the Republic of Korea, including the population census, administrative records, and specialized migration surveys, to generate statistics on the topic.
Note on the implementation of statistical standards from the 19th, 20th and 21st ICLS through household surveys

This note provides an overview of the requirements to apply the latest statistical standards through household surveys.