Entry for Locations / Brazil



This is a discussion about the submission for Locations / Brazil.

From the textual description of the dataset available at one of the links provided in the submission, I believe that the dataset does, in fact, contain addresses:

O DNE é um banco de dados que contém mais de 900 mil CEP de todo o Brasil, constituído de elementos de endereçamento (descrição de logradouros, bairros, municípios, vilas, povoados) e Códigos de Endereçamento Postal - CEP.

However, item B of question B3 (“Addresses”) was left unchecked. Maybe that information has been overlooked.


I found another dataset that might qualify better for Locations in Brazil. It’s the “Cadastro Nacional de Endereços para Fins Estatísticos” (National Addresses Registry for Statistical Purposes), released by IBGE. It is open and free of charge, and has all the addresses in Brazil, which IBGE does use in order to conduct the national census. It has neither ZIP codes nor geolocation, but otherwise I think it would qualify better than the Correios one.


Ease of use is not great, as the fixed width tables require more labour to work with than, say, CSV. Also, it is not available in bulk, at least not that I could find. But being free, in contrast with the Correios one, is a huge advantage.

Considering that, we might want to replace the dataset considered in the GODI survey.

Open Data Index - Brasil 2017 Cities FAQ

I am using the Universal Postal Union to determine what is the official gov organization in charge with postal codes. According to the UPU, the responsible gov entity is the Ministério das Comunicações and the designated operator is CORREIOS (http://www.upu.int/en/the-upu/member-countries/americas/brazil.html). Correios does not make the data available online, but only an online search service. The data from IGBE could be very useful, but it is not compliant with GODI requirements. However, I think it is important to put this link in the comments.


Hello @herrmann

In that case, I think you are suggesting criteria to compare datasets and evaluate which one qualifies better for the GODI, right? So, if I have an incomplete open not-that-easy-to-use dataset would be better than a complete (supposedly easier to use) that is restricted, right?

I do agree with that criterion, but we thought that Correios had the only available dataset for that information.

We agree with that change of dataset.