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OLAS LAPOP 2018/2019 WASH Indicators

By Water and Sanitation Division (VPS/INE/WSA)

The OLAS LAPOP 2018-2019 dataset provides information on water and sanitation access for 18 countries across Latin America and the Caribbean. The dataset uses microdata from the 2018-2019 wave of the AmericasBarometer project from Vanderbilt’s Latin America Public Opinion Project (AB-LAPOP). The AB-LAPOP is a comparative survey that aims to create a temporal data set for the western hemisphere that includes a broad range of topics, produced by a standardized method and the use of a common core questionnaire which permit valid comparisons across countries and over time on topics. Technical information on the sampling methods and survey design can be access for each country surveyed on the LAPOP website. The OLAS LAPOP 2018-2019 dataset focuses on water and sanitation access information, covering topics like type of water source used by households for different purposes, continuity of access, type of sanitation facility and whether households have exclusive access. https://www.vanderbilt.edu/lapop/about-americasbarometer.php LAPOP | Vanderbilt University. These data were supplied by the Latin American Public Opinion Project at Vanderbilt University, which takes no responsibility for any interpretation of the data. Source: The AmericasBarometer by the LAPOP Lab, www.vanderbilt.edu/lapop.

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Metadata & use

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

Inter-American Development Bank, 2023, OLAS LAPOP 2018/2019 WASH Indicators, IDB Open Data, https://doi.org/10.60966/8kcwgbal
Issued date 2023-04-03
Modified date 2025-04-10
Tags/Keywords OLAS · Water · Water Access
Language English
Temporal coverage 2018-2019
Geographic coverage
Argentina
Bolivia
Brazil
Chile
Colombia
Costa Rica
Dominican Republic
Ecuador
El Salvador
Guatemala
Honduras
Jamaica
Mexico
Nicaragua
Panama
Paraguay
Peru
Uruguay
Regional coverage Latin America and the Caribbean
Publisher
Inter-American Development Bank
Author
Inter-American Development Bank
Data collection type Observational Data
Statistical type Cross-sectional Data
Data structure Structured Data
Data notes

See attached methodology document

Dataset files

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