Bolivia Labor Market Survey: Diversity and Inclusion Policies in Formal Companies 2023 (Aggregated Data)

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

The data collected in this study allows to characterize the diversity in companies in the cities of La Paz, El Alto, Cochabamba and Santa Cruz. This information was collected through a survey conducted during the third quarter of 2023. The objective of the surveys was to obtain a proxy for information that allows characterizing, on the one hand, in a general way the composition of the representation of the various groups in companies; the existence of hiring policies for these diverse groups and the obstacles that companies have faced during the hiring process. To obtain this information, the survey was conducted with the person in charge of human resources or the person in charge of hiring and human talent management. The data were published in Urquidi et al (2024) Labor market survey in Bolivia: Diversity and inclusion policies in formal companies 2023 available at http://dx.doi.org/10.18235/0012986

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Metadata & use

Identifier https://doi.org/10.60966/dmwway90
License Creative Commons Attribution 4.0 International
Relation
Citation

Urquidi, Manuel;Sardán, Solange;Serrate, Liliana;Guzmán Navarro, Laura;Jiménez Calderón, Mateo Ignacio, 2024, Bolivia Labor Market Survey: Diversity and Inclusion Policies in Formal Companies 2023 (Aggregated Data), IDB Open Data, https://doi.org/10.60966/dmwway90

Issued date 2024-05-31
Modified date 2025-04-11
Tags/Keywords Diversity And Inclusion · Expectant Mothers · Indigenous And Afro-Descendant People · LGBTQ · Labor Market · Migrants · People With Disabilities · Single Mothers And Fathers
Language Spanish
Temporal coverage 2023-2023
Geographic coverage
Bolivia
Regional coverage Latin America and the Caribbean
Publisher
Inter-American Development Bank
Author
Urquidi, Manuel
Sardán, Solange
Serrate, Liliana
Guzmán Navarro, Laura
Jiménez Calderón, Mateo Ignacio
Inter-American Development Bank
Data collection type Observational Data
Statistical type Cross-sectional Data
Data structure Structured Data
Data notes

Business survey. To conduct the surveys, a sampling framework was developed that is appropriate to the dynamics of the companies. Large and medium-sized companies were considered. A pre-selection of the companies to be visited was made using the information from the Public Business Registry Service (SEPREC) as a framework. Then, using these surveys as a parameter, areas were delimited so that, in the first instance and before conducting the visit, an updated list of each area could be made to identify possible informal companies that are not included in the SEPREC database. Once the updated list was completed, companies were randomly selected according to size. The universe includes all small, medium, and large companies in the metropolitan areas of El Alto, La Paz, Cochabamba, and Santa Cruz.

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