Unpaid Caregiving in Latin America and the Caribbean: Tables and Annexes

By Social Protection and Labor Markets Division (VPS/SCL/SPL)

Unpaid care sustains households across Latin America and the Caribbean, and it is largely absent from economic statistics. This dataset publishes the tables, figures and annexes that underpin the IDB study "Unpaid Caregiving of Children, Persons with Disabilities and Older People in Latin America and the Caribbean: Key Numbers and Trends".

For each country it reports the weekly hours of direct unpaid care, the number of caregivers, the average hours each caregiver provides, the share of that care provided by women, and the value of the care as a share of GDP under both the opportunity-cost and the replacement-cost method. Every measure is broken down by the type of care recipient — children, persons with disabilities, and older people — and by the sex of the caregiver.

The estimates draw on national time-use surveys from Argentina, Chile, Colombia, Costa Rica, El Salvador, Mexico, Paraguay, Peru and Uruguay, on the Continuous National Household Sample Survey (PNAD) for Brazil, and on United Nations Population Division data. Regional figures extrapolate these patterns to countries without a comparable survey, among them The Bahamas, Barbados, Belize, Bolivia, the Dominican Republic, Ecuador, Guatemala, Guyana, Haiti, Honduras, Jamaica, Panama, Suriname, Trinidad and Tobago, and Venezuela. Projections carry the number of caregivers forward to 2035 and 2050.

The dataset also publishes the study's robustness checks, which recompute the headline estimates under the original survey classification of care recipients, under a minimum-hours threshold for counting someone as a caregiver, and under alternative assumptions for distributing caregivers of persons with disabilities across age groups.

Alongside the derived tables, the full workbook of tables and figures and the annex document are available for download.

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Metadata & use

Identifier https://doi.org/10.60966/9qwcytuc
License Creative Commons Attribution 4.0 International
Citation

Aranco, Natalia (2026). Unpaid Caregiving in Latin America and the Caribbean: Tables and Annexes. IDB Open Data. https://doi.org/10.60966/9qwcytuc

Published date 2026-08-11
Modified date 2026-08-11
Tags/Keywords long term care · older people · persons with disabilities · children · caregivers · unpaid work · unpaid care · time use · care economy
Language
  1. English
Temporal coverage 2016-2050
Country
Argentina
Bahamas
Barbados
Belize
Bolivia
Brazil
Chile
Colombia
Costa Rica
Dominican Republic
Ecuador
El Salvador
Guatemala
Guyana
Haiti
Honduras
Jamaica
Mexico
Panama
Paraguay
Peru
Suriname
Trinidad & Tobago
Uruguay
Venezuela
Region Latin America and the Caribbean
Publisher
Inter-American Development Bank
Author
Aranco, Natalia
Data collection type Survey Data
Statistical type Cross-sectional Data
Data structure Structured Data
Data notes

What is this dataset?

It publishes the tables, figures and annexes behind the IDB study "Unpaid Caregiving of Children, Persons with Disabilities and Older People in Latin America and the Caribbean: Key Numbers and Trends". It is the underlying evidence for that study, not the study itself.

What does it measure?

The weekly hours of direct unpaid care provided in each country, the number of people providing it, the average hours each caregiver contributes, the share of the care provided by women, and the value of that care expressed as a share of GDP under the opportunity-cost and replacement-cost methods.

What does it contain?

Four tables. Country estimates hold the headline figures for every country and robustness scenario. Country profiles hold the full indicator set for each surveyed country, split by caregiver sex. Survey coverage records how each national survey was designed and which care activities it captures. Caregiver projections carry the number of caregivers forward in time. The complete workbook and the annex document are also available for download.

Which countries are included?

Argentina, Brazil, Chile, Colombia, Costa Rica, El Salvador, Mexico, Paraguay, Peru and Uruguay have their own survey data. Regional totals also cover The Bahamas, Barbados, Belize, Bolivia, the Dominican Republic, Ecuador, Guatemala, Guyana, Haiti, Honduras, Jamaica, Panama, Suriname, Trinidad and Tobago, and Venezuela, whose figures are extrapolated from countries with comparable surveys.

What time period does it cover?

The surveys were fielded between 2016 and 2024, and the estimates are anchored to a 2023 reference year. Projections of the number of caregivers extend to 2035 and 2050.

How was the data collected?

From national time-use surveys, which ask respondents how they spent their time over a reference period. Brazil is the exception: its Continuous National Household Sample Survey (PNAD) identifies caregivers but does not collect time use, so its hours are imputed. Population figures and projections come from the United Nations Population Division.

What are its limitations?

The surveys are not fully harmonized. They differ in the ages used to define children and older people, in whether care given to people outside the household is counted, and in how care activities are grouped, so cross-country comparisons should be read alongside the survey coverage table. Brazil collects no time-use data and is therefore absent from the time-use indicators. Countries without a comparable survey carry extrapolated rather than observed values. Because one person can care for more than one type of recipient, totals do not equal the sum across recipient types.

How can it be used?

To size the unpaid care economy against GDP, to compare the gender distribution of care across countries, to anticipate how demand for care shifts as populations age, and to test how sensitive any of those findings are to the assumptions behind them.

In what format is it available?

The four derived tables are queryable through the data portal and downloadable as CSV. The source workbook is available as an Excel file and the annexes as a Word document.

Under what licence is it published?

Creative Commons Attribution 4.0 International (CC BY 4.0). You may share and adapt the material, including commercially, provided you give appropriate credit.

How do I cite it?

Use the citation shown on this page, which names the author, the year, the title, IDB Open Data as the publisher, and the dataset's DOI.

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