LAC is the most water-rich region in the world by most metrics; however, water resource distribution throughout the region does not correspond demand. To understand water risk throughout the region, this dataset provides population and land area estimates for factors related to water risk, allowing users to explore vulnerability throughout the region to multiple dimensions of water risk.

This dataset contains estimates of populations living in areas of water stress and risk in 27 countries in Latin America and the Caribbean (LAC) at the municipal level. The dataset contains categories of 18 factors related to water risk and 39 indices of water risk and population estimates within each with aggregations possible at the basin, state, country, and regional level.

The population data used to generate this dataset were obtained from the WorldPop project 2020 UN-adjusted population projections, while estimates of water stress and risk come from WRI’s Aqueduct 3.0 Water Risk Framework. Municipal administrative boundaries are from the Database of Global Administrative Areas (GADM). For more information on the methodology users are invited to read IADB Technical Note IDB-TN-2411: “Scarcity in the Land of Plenty”, and WRIs “Aqueduct 3.0: Updated Decision-relevant Global Water Risk Indicators”.

| https://www.wri.org/data/aqueduct-global-maps-30-data |
| https://www.worldpop.org/ |
| https://gadm.org/ |

The OLAS/SCL Household Survey Data Set contains 47 water and sanitation related indicators generated from microdata from national household surveys throughout the region. The data set contains information from 2003-2022 for 22 countries throughout Latin America and the Caribbean. Indicators are provided in terms of household percentage and total households that fall into each category, and can be broken down by various socioeconomic dimensions, including area (urban or rural community), income quintile, migratory status, ethnicity, and disability status. This dataset is the result of a collaboration between INE/WSA and SCL, and is a subset of the larger IDB SCL Indicators dataset.

This dataset provides regional estimates for the indicators in the OLAS/SCL WASH Household Survey Dataset: https://mydata.iadb.org/Water-and-Sanitation/OLAS-SCL-WASH-Household-Survey-Dataset/.

For information on how the dataset was generated, please refer to the methodology document.

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.

This dataset was created to support 2008 IPES - Outsiders? The Changing Patterns of Exclusion in Latin America and the Caribbean on the following topics: poverty reduction, labor, social exclusion.

Click here to access the data: https://mydata.iadb.org/d/cuj5-vq63

Panorama de las Administraciones Públicas: América Latina y el Caribe es la segunda edición de una publicación conjunta entre la Organización para la Cooperación y el Desarrollo Económico (OCDE) y el Banco Interamericano de Desarrollo (BID). La publicación provee a los lectores un conjunto clave de indicadores diseñados para informar el diseño de políticas y establecer marcos de referencia para intervenciones específicas. Este conjunto de datos especializados abarca una serie de indicadores en las áreas de finanzas públicas y empleo público.

This dataset was created to support 2008 IPES - Outsiders? The Changing Patterns of Exclusion in Latin America and the Caribbean on the following topics: poverty reduction, labor, social exclusion. This visualization is available on page 33, Graphic 3.2.

Click here to access the data: https://mydata.iadb.org/d/cuj5-vq63

The Population and Housing Censuses database contains the censuses harmonized in such a way as to provide comparable census information over time and across countries. The variables in these databases are constructed under a common approach and structure, with standardized names, definitions, and disaggregations, and stored in a single file for each country. Currently, the harmonization of Population and Housing Censuses includes databases for 22 countries.

The indicators are categorized into seven themes: demographics, education, labor market, housing, income, migration, and diversity. When possible, we add multiple disaggregations for indicators. The available disaggregations are ethnicity, gender, age, education level, and area of geographic residence.

The management and harmonization of this database are provided by the Social Sector (SCL) of the Vice Presidency of Knowledge and Sectors to strengthen the analytical content of projects and studies.

This set comprises the data collected to inform the 2016 Cybersecurity Report entitled Cybersecurity Are we ready in Latin America and the Caribbean?, result of the collaboration between the Inter-American Development Bank (IDB), the Organization of American States (OAS), and the Global Cyber Security Capacity Centre (GCSCC) at the University of Oxford. It was collected through an online survey based on the Cybersecurity Capability Maturity Model (CMM) developed by the GCSCC and translated into two languages (English and Spanish). After a piloting stage, the survey was administered to a wide cross-section of national stakeholders in 32 countries in Latin America and the Caribbean. The responses received were aggregated, reviewed, cleaned and complimented with additional sources of information.

Click here to access the data: https://mydata.iadb.org/d/cd6z-sjjc

This database provides measures of labor productivity (LP), capital and labor productivity (KLP) and Total Factor Productivity computed by Daude and Fernández-Arias (2010) for the 1960-2011 period, along with the inputs used to calculate them. This data spans 74 countries of them.