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Bolivia Labor Market Survey: Demand 2022 (Aggregated Data)

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

In 2014, the Inter-American Development Bank began work to design a survey to obtain information on the Bolivian labor market, which was conducted in 2015 and 2016 in the metropolitan areas of La Paz, Cochabamba, and Santa Cruz. This database is an update of the data for the cities of La Paz, Cochabamba, and Santa Cruz. The data correspond to the year 2022 and come from a survey conducted by the Center for Information and Statistics Generation (CEGIE) of the Universidad Privada Boliviana (UPB) in the second half of 2022 and the first four months of 2023. The data were published in Urquidi et al (2023) Labor market survey in Bolivia: demand 2022 available at http://dx.doi.org/10.18235/0005213. The objective of the survey was to obtain information that, on the one hand, allows a general characterization of companies small, medium and large; and, on the other hand, facilitate the characterization of their workforce, including hiring and dismissal dynamics. Finally, the aim was to obtain the skills and training requirements of the human resources they employ.

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Metadata & use

Identifier https://doi.org/10.60966/h7zxh9vb
License Creative Commons Attribution 4.0 International
Relation
Citation

Urquidi, Manuel;Serrate, Liliana;Sardán, Solange;Chumacero, Mauricio;Albarracín, Santiago, 2024, Bolivia Labor Market Survey: Demand 2022 (Aggregated Data), IDB Open Data, https://doi.org/10.60966/h7zxh9vb
Issued date 2024-05-31
Modified date 2025-04-11
Tags/Keywords Employees · Labor Demand · Labor Market · Skills · Training
Language Spanish
Temporal coverage 2022-2023
Geographic coverage
Bolivia
Regional coverage Latin America and the Caribbean
Publisher
Inter-American Development Bank
Author
Urquidi, Manuel
Serrate, Liliana
Sardán, Solange
Chumacero, Mauricio
Albarracín, Santiago
Inter-American Development Bank
Data collection type Observational Data
Statistical type Cross-sectional Data
Data structure Structured Data
Data notes

To carry out the surveys, a sampling framework was developed that is adapted to the dynamics of the companies. On the one hand, large and medium-sized companies were considered, and on the other, small companies, mainly because the latter are volatile and, therefore, require different treatment. 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 carrying out the visit, an update list of each area is made to identify possible informal companies that are not included in the SEPREC database. Once the update list was completed, companies were randomly selected according to size. Our universe includes all small, medium, and large companies in the metropolitan areas of El Alto, La Paz, Cochabamba, and Santa Cruz. Small companies were those with 5 to 20 employees; medium-sized companies were those with 21 to 49 employees; while large companies were those with 50 or more employees. A probabilistic sample design was applied, with allocation proportional to the population size.

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