In 2024, approximately 11.9 million people lived in São Paulo, making it the largest municipality in Brazil and one of the most populous cities in the world. The homonymous state of São Paulo was also the most populous federal entity in the country. Brazil's cities Brazil is home to two large metropolises: São Paulo with close to 11.9 million inhabitants, and Rio de Janeiro with around 6.7 million inhabitants. It also contains a number of smaller but well-known cities, such as Brasília, Salvador, Belo Horizonte, and many others, which report between 2 and 3 million inhabitants each. As a result, the country's population is primarily urban, with nearly 88 percent of inhabitants living in cities. While smaller than some of the other cities, Brasília was chosen to be the capital because of its relatively central location. The city is also well-known for its modernist architecture and utopian city plan, which is quite controversial - criticized by many and praised by others. Sports venues capitals A number of Brazil’s medium-sized and large cities were chosen as venues for the 2014 World Cup, and the 2015 Summer Olympics also took place in Rio de Janeiro. Both of these events required large sums of money to support infrastructure and enhance mobility within a number of different cities across the country. Billions of dollars were spent on the 2014 World Cup, which went primarily to stadium construction and renovation but also to a number of different mobility projects. Other short-term spending on infrastructure for the World Cup and the Rio Olympic Games was estimated at 50 billion U.S. dollars. While these events have poured a lot of money into urban infrastructure, a number of social and economic problems within the country remain unsolved.

Context

This dataset has information about brazilian cities.

Content

• city: the name of the city
• lat: the latitude of each city
• lng: the longitude of each city
• country: the country of each city (all Brazil in this case)
• iso2: country code (BR)
• admin: state of each city
• capital: wheter the city is a capital or not
• population: amount of inhabitants of each city
• population_proper: area contained within city limits

This dataset is intended for researchers, students, and policy makers for reference and mapping purposes, and may be used for basic applications such as viewing, querying, and map output production, or to provide a basemap to support graphical overlays and analysis with other spatial data.

This dataset is intended for researchers, students, and policy makers for reference and mapping purposes, and may be used for basic applications such as viewing, querying, and map output production, or to provide a basemap to support graphical overlays and analysis with other spatial data.

In 2025, approximately 23 million people lived in the São Paulo metropolitan area, making it the biggest in Latin America and the Caribbean and the sixth most populated in the world. The homonymous state of São Paulo was also the most populous federal entity in the country. The second place for the region was Mexico City with 22.75 million inhabitants. Brazil's cities Brazil is home to two large metropolises, only counting the population within the city limits, São Paulo had approximately 11.45 million inhabitants, and Rio de Janeiro around 6.21 million inhabitants. It also contains a number of smaller, but well known cities such as Brasília, Salvador, Belo Horizonte and many others, which report between 2 and 3 million inhabitants each. As a result, the country's population is primarily urban, with nearly 88 percent of inhabitants living in cities. Mexico City Mexico City's metropolitan area ranks sevenths in the ranking of most populated cities in the world. Founded over the Aztec city of Tenochtitlan in 1521 after the Spanish conquest as the capital of the Viceroyalty of New Spain, the city still stands as one of the most important in Latin America. Nevertheless, the preeminent economic, political, and cultural position of Mexico City has not prevented the metropolis from suffering the problems affecting the rest of the country, namely, inequality and violence. Only in 2023, the city registered a crime incidence of 52,723 reported cases for every 100,000 inhabitants and around 24 percent of the population lived under the poverty line.

streets in Brazil. name, named after, image, city, administrative división, country, continent, Length, Width, place, latitude, longitude, date creation

This dataset is intended for researchers, students, and policy makers for reference and mapping purposes, and may be used for basic applications such as viewing, querying, and map output production, or to provide a basemap to support graphical overlays and analysis with other spatial data.

museums in Brazil. name, Annual visitors, date founded, city, administrative división, continent, Country, latitude, longitude, Website

This dataset is intended for researchers, students, and policy makers for reference and mapping purposes, and may be used for basic applications such as viewing, querying, and map output production, or to provide a basemap to support graphical overlays and analysis with other spatial data.

Abstract The growth of urban population is widely acknowledged to be a central trend that poses challenges for the administration of cities worldwide. In this context, several advances in information and communication technologies (ICTs) have been developed to gradually transform urban centers into smart cities. In this article, we seek to contribute to filling a knowledge gap in the literature on smart city - namely the lack of empirical data in works on this subject - by investigating a project aimed at turning the municipality of Búzios in Brazil into a smart city, named Cidade Inteligente Búzios (CIB). Our objective is, thus, to describe and understand the controversial influence of the context in the implementation of the project, which was considered a success for some actors and irrelevant for others, a situation that defies the very concept of success in the implementation of smart cities.

Sam's Club in Brazil operates a membership-based warehouse club business model, similar to its counterparts in other countries. The Sam's Club in Brazil strategy centers around offering a wide variety of products in bulk quantities at competitive prices to members who pay an annual fee. This includes groceries, household goods, electronics, apparel, and more, with a focus on value and savings for both individual consumers and small businesses. Revenue is generated primarily through membership fees and high-volume sales of merchandise. You can download the complete list of key information about Sam's Club in Brazil locations, contact details, services offered, and geographical coordinates, beneficial for various applications like store locators, business analysis, and targeted marketing. The Sam's Club in Brazil data you can download includes:

Identification & Location:

Store_name, store_number, address, city, state, zip_code, latitude, longitude, geo_accuracy, country_code, county,

Contact Information:

Phone_number,

Operational Detail & Services:

Store_hours

Our Brazil Zip Code Database offers comprehensive postal code data for spatial analysis, including postal and administrative areas. This dataset contains accurate and up-to-date information on all administrative divisions, cities, and zip codes, making it an invaluable resource for various applications such as address capture and validation, map and visualization, reporting and business intelligence (BI), master data management, logistics and supply chain management, and sales and marketing. Our location data packages are available in various formats, including CSV, optimized for seamless integration with popular systems like Esri ArcGIS, Snowflake, QGIS, and more. Product features include fully and accurately geocoded data, multi-language support with address names in local and foreign languages, comprehensive city definitions, and the option to combine map data with UNLOCODE and IATA codes, time zones, and daylight saving times. Companies choose our location databases for their enterprise-grade service, reduction in integration time and cost by 30%, and weekly updates to ensure the highest quality.

universities in Brazil. name, type, date founded, city, administrative división, continent, Country, latitude, longitude, number of Students, Website, employees

Project Atlas - São Paulo

Project Atlas - São Paulo is a Data Science and Engineering initiative that aims at developing relevant and curated Geospatial features about the city of São Paulo, Brazil. It's ultimate use is varied, but it is mainly focused on Machine Learning tasks, such as Real State price prediction.

It aggregates several attributes from many public data sources at different levels of interest, which can be used to match geospatially referenced data (lat,long pairs for example).

A breakdown of the data sources currently used and their original references can be found below, but the official documentation of the project contains the full list of data sources.

Data sources

• GeoSampa: geospatial data exploration tool provided by the São Paulo's Department of Urban Development;
• IBGE: raw datasets from the 2010 Census conducted by the Brazilian Institute of Geography and Statistics;
• Infocidade: multiple sources from the city of São Paulo's local government entities;
• São Paulo Open Data Portal: multiple curated data sources from the city of São Paulo;

Relevant files:

1. tb_district.parquet: the dataset with all derived features aggregated at the District level;
2. tb_neighborhood.parquet: the dataset with all derived features aggregated at the Neighborhood level;
3. tb_zipcode.parquet: the dataset with all derived features aggregated at the Zipcode level;
4. tb_area_of_ponderation: the dataset with all derived features aggregated at the Area of Ponderation level;

Inspiration

This project had various inspirations, such as the Boston Housing Dataset. While I was studying relevant features for the real state market, I noticed that the classic Boston Housing dataset included several sociodemographic variables, which gave me the idea to do the same for São Paulo using the Brazilian Census data.

Acknowledgements

Photo by Lucas Marcomini on Unsplash

malls in Brazil. name, image, date Opened, city, administrative división, continent, Country, latitude, longitude, number of anchor tenants, number of Floors, number of stores and services, Parking, Website

This dataset is intended for researchers, students, and policy makers for reference and mapping purposes, and may be used for basic applications such as viewing, querying, and map output production, or to provide a basemap to support graphical overlays and analysis with other spatial data.

monuments in Brazil. name, image, heritage designation, type, date Opened, city, administrative división, continent, Country, latitude, longitude

This dataset is intended for researchers, students, and policy makers for reference and mapping purposes, and may be used for basic applications such as viewing, querying, and map output production, or to provide a basemap to support graphical overlays and analysis with other spatial data.

In 2024, six of the eight Brazilian cities with the highest homicide rates were in the Northeast. Feira da Santana led the ranking of the most violent city in Brazil, with a murder rate of ***** per 100,000 inhabitants. It was followed followed by Recife, with a homicide rate of more than ** per 100,000 inhabitants. In Latin America and the Caribbean, Feira da Santana was the **** most deadly city.

This dataset is intended for researchers, students, and policy makers for reference and mapping purposes, and may be used for basic applications such as viewing, querying, and map output production, or to provide a basemap to support graphical overlays and analysis with other spatial data.