Download metadata

OLAS Simplified GLAAS - WASH Governance

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

The OLAS Simplified GLAAS for LAC dataset provides information on water and sanitation governance in 30 countries across Latin America and the Caribbean (LAC) from 2018 and 2021. The data is from the UN-Water Global Analysis and Assessment of Sanitation and Drinking-Water (GLAAS), which is a global survey carried out by UN Water and the World Health Organization (WHO) that collects country-level information on provision of water, sanitation, and hygiene services. The survey covers topics like governance, monitoring, finance, and human resources in the sector. This simplified version of the dataset contains information relevant to WASH governance in LAC.

Additional data can be found in the GLAAS Data Portal: https://glaas.who.int/

Source: WHO, UN-Water Global Analysis and Assessment of Sanitation and Drinking-Water, 2018-19 and 2021-22, accessed April 2023. With acknowledgement of the countries in Latin America and the Caribbean who contributed to this survey.

Show more

Metadata & use

Identifier https://doi.org/10.60966/6mdy62my
License Creative Commons Attribution 4.0 International
Citation

Inter-American Development Bank;World Health Organization, 2023, OLAS Simplified GLAAS - WASH Governance, IDB Open Data, https://doi.org/10.60966/6mdy62my
Issued date 2023-05-09
Modified date 2025-04-11
Tags/Keywords GLAAS · Governance · OLAS · Sanitation · Water
Language Spanish
Temporal coverage 2018-2022
Geographic coverage
Anguilla
Antigua and Barbuda
Argentina
Barbados
Belize
Bolivia
Brazil
British Virgin Islands
Chile
Colombia
Costa Rica
Cuba
Dominican Republic
Ecuador
El Salvador
Grenada
Guatemala
Guyana
Haiti
Honduras
Jamaica
Mexico
Nicaragua
Panama
Paraguay
Peru
Saint Lucia
Trinidad and Tobago
Uruguay
Venezuela
Regional coverage Latin America and the Caribbean
Publisher
Inter-American Development Bank
Author
Inter-American Development Bank
World Health Organization
Data collection type Observational Data
Statistical type Cross-sectional Data
Data structure Structured Data
Data notes

See attached methodology document

Dataset files

Load more