Classification of time-use activities for Latin America and the Caribbean

Time-use statistics

Classification of time-use activities for Latin America and the Caribbean

Bienio:
2026-2027
Coordinator
Instituto Nacional de Estadística (INE) of Uruguay
Technical Secretariat
Entidad de las Naciones Unidas para la Igualdad de Género y el Empoderamiento de las Mujeres (ONU Mujeres)
Division for Gender Affairs of ECLAC
Statistics Division of ECLAC
Members
Instituto Nacional de Estadística (INE) of Boliva
Brazilian Institute of Geography and Statistics (IBGE)
Instituto Nacional de Estadísticas (INE) of Chile
Departamento Administrativo Nacional de Estadística (DANE) of Colombia
Instituto Nacional de Estadística y Censos (INEC) of Costa Rica
Oficina Nacional de Estadística e Información (ONEI) of Cuba
Instituto Nacional de Estadística y Censos (INEC) of Ecuador
Instituto Nacional de Estadística (INE) of Guatemala
Instituto Nacional de Estadística (INE) of Honduras
Statistical Institute of Jamaica (STATIN)
National Institute of Statistics and Informatics (INEI) of Perú
United Nations Statistics Division (UNSD)
Objectives

General objective

Update CAUTAL, adopted in 2015 by the Statistical Conference, to ensure its continued validity and utility as a standard for time-use measurement in the countries of the region.

Specific objectives

  1. Propose a framework of activities that can be performed by individuals, in an updated and hierarchical format to adequately analyse time use among men and women, with an emphasis on unpaid care work in Latin America and the Caribbean.
  2. Provide a robust technical tool to the countries for harmonizing time-use measurements, statistics and indicators.
  3. Present a taxonomy of time-use activities with a gender perspective, based on updated concepts, definitions and language, informed by high quality, relevant statistical data on time use.
  4. Establish equivalency between the updated version of CAUTAL and the International Classification of Activities for Time-Use Statistics to support the comparability and adaptation of future time-use measurements.