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.

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.

Brazil BR: Population in Largest City data was reported at 22,806,704.000 Person in 2024. This records an increase from the previous number of 22,619,736.000 Person for 2023. Brazil BR: Population in Largest City data is updated yearly, averaging 15,288,036.000 Person from Dec 1960 (Median) to 2024, with 65 observations. The data reached an all-time high of 22,806,704.000 Person in 2024 and a record low of 4,493,182.000 Person in 1960. Brazil BR: Population in Largest City data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Brazil – Table BR.World Bank.WDI: Population and Urbanization Statistics. Population in largest city is the urban population living in the country's largest metropolitan area.;United Nations, World Urbanization Prospects.;;

Actual value and historical data chart for Brazil Population In The Largest City Percent Of Urban Population

Population in largest city in Brazil was reported at 22806704 in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Brazil - Population in largest city - actual values, historical data, forecasts and projections were sourced from the World Bank on November of 2025.

View yearly updates and historical trends for Brazil Population in the Largest City. Source: World Bank. Track economic data with YCharts analytics.

Brazil BR: Population in Largest City: as % of Urban Population data was reported at 12.223 % in 2024. This records an increase from the previous number of 12.203 % for 2023. Brazil BR: Population in Largest City: as % of Urban Population data is updated yearly, averaging 12.971 % from Dec 1960 (Median) to 2024, with 65 observations. The data reached an all-time high of 15.235 % in 1980 and a record low of 11.954 % in 2005. Brazil BR: Population in Largest City: as % of Urban Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Brazil – Table BR.World Bank.WDI: Population and Urbanization Statistics. Population in largest city is the percentage of a country's urban population living in that country's largest metropolitan area.;United Nations, World Urbanization Prospects.;Weighted average;

The statistic presents a ranking of the leading cities in Brazil in 2018, based on advertising spending. Brazil's largest city São Paulo ranked first, with more than ** billion Brazilian reals (approximately ************ U.S. dollars at December 31, 2018 exchange rates) invested in advertising in 2018.

Florianópolis and Recife were the cities with the highest hotel occupancy rate in Brazil in 2024, surpassing ** percent. Out of the 15 listed cities, only one had an occupancy rate below ** percent.

Graph and download economic data for Geographical Outreach: Number of Branches in 3 Largest Cities, Excluding Headquarters, for Commercial Banks for Brazil (BRAFCBODCLNUM) from 2005 to 2015 about branches, Brazil, banks, and depository institutions.

Dataset Overview

This dataset provides a comprehensive overview of Brazil’s 2022 Census data, focusing on São Paulo’s neighbourhoods. The data combines demographic and socioeconomic information with geospatial shapefiles of São Paulo’s neighbourhoods, enabling users to perform statistical and spatial analyses.

Users can explore patterns, trends, and transformations in São Paulo’s urban landscape by linking census sectors to neighbourhood boundaries.

Key Components

Census 2022 Data

• Source: Brazil's 2022 Census (IBGE)
• Content: Demographic data including age, gender, income, education levels, household size, and population density across census sectors.
• Format: CSV

São Paulo Neighborhood Shapefile

• Source: GIS-based shapefiles for São Paulo neighbourhoods (IBGE Census Sectors and Manually created Neighbourhoods)
• Content: Spatial geometry for São Paulo's neighbourhoods with census sector identifiers.
• Format: Parquet

Use Cases

• Neighborhood Demographics Analysis: Combine census data with shapefiles to generate neighborhood-level demographic reports.
• Urban Development Studies: Study how São Paulo neighbourhoods have grown using historical context and 2022 Census data.
• Spatial Data Visualizations: Create maps showing income distribution, population density, or other demographic factors across neighbourhoods.
• Policy Planning & Research: Support urban planning, resource allocation, and policy development in São Paulo.

Potential Applications

• Analyze the relationship between neighbourhood demographics and urban growth patterns.
• Visualize inequalities in population distribution, income, or education levels.
• Identify trends in housing and population density for urban studies.
• Provide insights into São Paulo’s historical and ongoing transformations.

Why Use This Dataset?

• Comprehensive Coverage: Detailed census data and spatial boundaries allow in-depth analyses.
• Flexible Integration: Easily combine demographic data with shapefiles to enable advanced spatial analyses.

Dataset Details

• File Formats: CSV (Census Data), GeoJSON/Shapefile (Neighborhood Shapefiles)
• Spatial Resolution: Census sector linked to São Paulo’s neighbourhood boundaries

Geographic Scope: São Paulo, Brazil

This dataset is ideal for data scientists, urban planners, and researchers seeking to uncover the dynamics of São Paulo’s neighbourhoods through an intersection of demographic and spatial data.

Contribute to new insights and empower decision-making in understanding Brazil’s largest city!

Abstract This paper compares the occupational structure of cities in Brazil and United States aiming to evaluate the extent to which the economic structure of these urban agglomerations is associated with the different stages of development, specifically when comparing a rich country with a developing one. Using a harmonized occupational database and microdata from the Brazilian 2010 Demographic Census and the U.S. American Community Survey (2008-2012), results show that Brazilian cities have a stronger connection between population size, both with occupational structure and human capital distribution, than the one found for cities in the United States. These findings suggest a stronger primacy of large cities in Brazil’s urban network and a more unequal distribution of economic activity across cities when compared to USA, indicating a strong correlation between development and occupational structure.

According to an online survey as of June 2024, the majority of vegetarians registered in the state of São Paulo lived in its homonymous capital, the city of São Paulo, where more than four thousand people identified themselves as vegetarian, vegan or supporter thereof. The second largest population was found in Campinas, with 545 respondents.

Abstract This article’s objective is to discuss recent transformations in the periphery of Brazil’s largest cities, considering the expansion of real estate in these territories, strongly supported by the Government’s housing program Minha Casa Minha Vida. Using historical and theoretical analyses, we demonstrate the shift in the primacy of the contradiction between capital and labor, dominated by industrial capital, towards the primacy of an urban contradiction, dominated by financial capital. Our hypothesis is that the appropriation of the periphery has consolidated into an essential strategy in the amplification of gains and in the expansion of real estate. This strategy of capital appreciation seems to impose new forms of inequality, which we have attempted to explore here.

In Brazil, **** percent of consumers earned at least the equivalent of the highest 40 percent of global income earners as of 2022 in purchasing power parity (PPP) terms. Those who earned at least the equivalent of the top 10 percent of global income earners stood at *** percent.

This statistic displays the Brazilian cities with the largest number of private heliports as of March 2019. At that point in time, there were *** private heliports in the city of São Paulo, while the number of private heliports in Rio de Janeiro amounted to **.

Context

A large chain store requires making the decision to create new distribution hosts and shut down hosts that do not generate business value. Nothing better than Machine Learning to support this decision making.

Content

This Dataset contains the main cities in Brazil and this network is already in all of its regional capitals (capital = admin).

Socio-Spatial Inequalities In Access To Opportunities In Brazilian Cities, 2019
This dataset falls under the category Other.
It contains the following data: This study presents the first results of the Access to Opportunities Project, assessing the inequalities in access to opportunities in Brazilian largest cities in 2019 with estimates of access to jobs, health and education services. In this edition, the study includes accessibility estimates by active transport modes (walking and cycling) for the 20 largest cities in the country, and by public transport for 7 major cities (Sao Paulo, Rio de Janeiro, Belo Horizonte, Recife, Fortaleza, Porto Alegre and Curitiba).
This dataset was scouted on 2022-02-24 as part of a data sourcing project conducted by TUMI. License information might be outdated: Check original source for current licensing. The data can be accessed using the following URL / API Endpoint: https://www.ipea.gov.br/acessooportunidades/en/publication/2019_td2535/See URL for data access and license information.

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.

Do you want to explore and predict real estate data of the biggest city of south emisphere, 4th largest in the world? Sao Paulo - Brazil has over 14,000 official real state transactions per month. This dataset shows REAL transactions and values registered in the city hall (it is not advertising scrapping). That means you will be dealing with real market values, aside of expeculations. You can predict property prices, check the most valued or devalued districts, look for features that affect prices the most, find trends on the different type of properties and much more. The data is quite recent, from May/22 to Oct/22.

Column descriptions: tax_id: tax id at the city hall registers street_name: street name where the property is located street_number: property street number complement: complement like apartment number, block or tower in an apartment building, etc. district: zone or district in the Sao Paulo city, where the property is located reference: general reference of the property zip_code: zip code transaction_nature: legal motivation for that transaction like a simple buy/sell, or a transmission of rights, person-company transferences, etc. transaction_value_BRL: real value of the transaction in BRL (Brazilian Reais) date: date of the transaction cadastral_value: property value in the city hall registers in BRL (Brazilian Reais) tax_base_value: base value for transaction tax calculation in BRL (Brazilian Reais) mortgage_type: mortgage type, if any mortgage_value: value in BRL (Brazilian Reais) of the mortgage registry_number: real estate registration office id property_id: property id in the real estate registration offices city_hall_status: status of the property according to the city hall land_area_m2: area of the property in squared meters (m2) front_length_m: front length of the property, facing the street in meters (m) ideal_fraction: fraction of the total property transactioned area_built_m2: property built area in squared meters (m2) description_1: occupation description description_2: type of property year_built: year of the construction conclusion