A geocoded dataset of primary health care clinics in Brazil

We develop a geocoded dataset of primary health care clinics in Brazil. We merge data from three publicly available sources. The first is the National Registry of Healthcare Facilities (CNES-ST), which collects the location (state, municipality, and 8-digit postal code) of all health care facilities, public or private, operating in Brazil. The second is the National Registry of Addresses for Statistical Purposes (IBGE-CNEFE), which contains the geographic coordinates of all addresses in Brazil (including 8-digit postal codes) and serves as the basis for the Brazilian census. Our approach aggregates individual (address-level) coordinates to the 8-digit postal code, and assigns coordinates to primary care clinics based on each clinics' postal code. Using data from a third source, the IBGE shapefiles, we estimate the area of postal codes to evaluate the precision of our geo-referencing method. The unique facility identification number (cnes number) can be used to merge our georeferenced data with other publicly available databases of the Brazilian Unified Health System. The final dataset is an unbalanced panel with monthly observations about 293,698 primary care clinics' locations (i.e. coordinates), from January 2018 to December 2023, totalling 15,455,219 observations.

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Publication Details

Journal
Data in Brief
Published
2025-09-23
DOI
https://doi.org/10.1016/j.dib.2025.112085
Primary Topic
Maternal and Neonatal Healthcare
Type
article
Field-Weighted Citation Impact
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article

A geocoded dataset of primary health care clinics in Brazil

Bruno Wichmann, Roberta Moreira Wichmann, Tiago Almeida de Oliveira, Crysttian Arantes Paixão
Data in Brief
Maternal and Neonatal Healthcare
article

A geocoded dataset of primary health care clinics in Brazil

Bruno Wichmann, Roberta Moreira Wichmann, Tiago Almeida de Oliveira, Crysttian Arantes Paixão
article en

Abstract

We develop a geocoded dataset of primary health care clinics in Brazil. We merge data from three publicly available sources. The first is the National Registry of Healthcare Facilities (CNES-ST), which collects the location (state, municipality, and 8-digit postal code) of all health care facilities, public or private, operating in Brazil. The second is the National Registry of Addresses for Statistical Purposes (IBGE-CNEFE), which contains the geographic coordinates of all addresses in Brazil (including 8-digit postal codes) and serves as the basis for the Brazilian census. Our approach aggregates individual (address-level) coordinates to the 8-digit postal code, and assigns coordinates to primary care clinics based on each clinics' postal code. Using data from a third source, the IBGE shapefiles, we estimate the area of postal codes to evaluate the precision of our geo-referencing method. The unique facility identification number (cnes number) can be used to merge our georeferenced data with other publicly available databases of the Brazilian Unified Health System. The final dataset is an unbalanced panel with monthly observations about 293,698 primary care clinics' locations (i.e. coordinates), from January 2018 to December 2023, totalling 15,455,219 observations.

Data in BriefVol. 63
Universidade Federal da Bahia (BR), Universidade Estadual da Paraíba (BR), University of Alberta (CA), Institute of Physics (AZ)
Openalex Percentile: Top 59%
Maternal and Neonatal Healthcare
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