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.

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.;;

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.

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.

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;

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

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!

This statistic shows the age structure in Brazil from 2013 to 2023. In 2023 about 19.94 percent of Brazil's total population were aged 0 to 14 years. Population of Brazil Brazil is the fifth largest country in the world by area and population and the largest in both South America and the Latin American region. With a total population of more than 200 million inhabitants in 2013, Brazil also ranks fifth in terms of population numbers. Brazil is a founding member of the United Nations, the G20, CPLP, and a member of the BRIC countries. BRIC is an acronym for Brazil, Russia, India, and China, the four major emerging market countries. The largest cities in Brazil are São Paulo, Rio de Janeiro and Salvador. São Paulo alone reports over 11.1 million inhabitants. Due to a steady increase in the life expectancy in Brazil, the average age of the population has also rapidly increased. From 1950 until 2015, the average age of the population increased by an impressive 12 years; in 2015, the average age of the population in Brazil was reported to be around 31 years. As a result of the increasing average age, the percentage of people aged between 15 and 64 years has also increased: In 2013, about 68.4 percent of the population in Brazil was aged between 15 and 64 years.

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.

最大城市人口占城市总人口的百分比在12-01-2024达12.223%，相较于12-01-2023的12.203%有所增长。最大城市人口占城市总人口的百分比数据按年更新，12-01-1960至12-01-2024期间平均值为12.971%，共65份观测结果。该数据的历史最高值出现于12-01-1980，达15.235%，而历史最低值则出现于12-01-2005，为11.954%。CEIC提供的最大城市人口占城市总人口的百分比数据处于定期更新的状态，数据来源于World Bank，数据归类于全球数据库的巴西 – Table BR.World Bank.WDI: Population and Urbanization Statistics。

Data for Good Meta. High resolution population estimates for Brazil. Includes total population, men, women, women of reproductive age, elderly, youth, and children subgroups. Creative Commons Attribute International License.

To facilitate population data retrieval across scale, we segment spatial coverage into equal sized tiles. GPU enabled spatial join via RapidsAI was employed to assign population information with each vector tile.

Reference: Facebook Connectivity Lab and Center for International Earth Science Information Network - CIESIN - Columbia University. 2016. High Resolution Settlement Layer (HRSL). Source imagery for HRSL © 2016 DigitalGlobe. Accessed 7 April 2023.

This statistic shows the ten largest cities in Italy in 2025. In 2025, around 2.75 million people lived in Rome, making it the largest city in Italy. Population of Italy Italy has high population figures and a high population density in comparison to other European countries. A vast majority of Italians lives in urban areas and in the metropolises (as can be seen in this statistic), while other areas, such as the island Sardinia, are rather sparsely inhabited. After an increase a few years ago, Italy’s fertility rate, i.e. the average amount of children born to a woman of childbearing age, is now on a slow decline; however, it is still high enough to offset any significant effect the decrease might have on the country’s number of inhabitants. The median age of Italy’s population has been increasing rapidly over the past 50 years – which mirrors a lower mortality rate – and Italy is now among the countries with the highest life expectancy worldwide, only surpassed by two Asian countries, namely Japan and Hong Kong. Currently, the average life expectancy at birth in Italy is at about 83 years. Most of Italy’s population is of Roman Catholic faith. The country actually boasts one of the largest numbers of Catholics worldwide; other such countries include Brazil, Mexico and the United States. The central government of the Roman Catholic Church, the Holy See, is located in Vatican City in the heart of Italy’s capital and ruled by the Bishop of Rome, the Pope. Officially, Vatican City does not belong to Italy, but is a sovereign state with its own legislation and jurisdiction. It has about 600 inhabitants, who are almost exclusively members of the clergy or government officials.

The capybara is the largest living rodent, attracting attention due to its large size, its formation of large herds, and because it is commonly seen in urban environments. Thus, understanding the dynamics of capybara populations living in urban environments is relevant, especially given the conflicts observed between the species and humans in these environments. Here, we investigated the hypothesis of overpopulation of the capybara in Lago Paranoá, a lake in a large neotropical city, BrasÃlia, Brazil. To do this, we investigated their spatial distribution at the site and estimated the capybara population using a variation of the mark-recapture method and compared it to known population estimates for the species. We found that the capybaras in our study area mainly form small flocks of 1 to 9 animals and occupy almost the entire shore of Lake Paranoá. We estimated the occurrence of 0.30 to 0.52 ind./ha (average = 0.41 ind./ha), demonstrating that the number of capybaras in our region is ..., , # Population estimate and spatial distribution of capybaras in Lake Paranoá, BrasÃlia, Brazil

Dataset DOI: 10.5061/dryad.fttdz094g

Description of the data and file structure

Over a year (10/2021 - 09/2022), the shore of Lake Paranoá was covered with the help of a voadeira (aluminum boat with an outboard motor) at a speed of around 20 km/h and approximately 30 m from the shore (Figure 2). The same route was covered every month for 12 months. We standardized the counts for the afternoon, after 4 pm, based on the literature, which reports greater activity of the species at dusk and dawn (Moreira et al., 2013c). Due to the large expanse of the shore of Lake Paranoá, complete monitoring took place over four sampling days, totaling around 8 hours of sampling per month. Counts were carried out on consecutive days whenever possible, except in cases of adverse weather conditions. When activities were canceled, the count was restarted on the next day with suitab...,

About this dataset

Context

The dataset presents the median household incomes over the past decade across various racial categories identified by the U.S. Census Bureau in Brazil. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. It also showcases the annual income trends, between 2011 and 2021, providing insights into the economic shifts within diverse racial communities.The dataset can be utilized to gain insights into income disparities and variations across racial categories, aiding in data analysis and decision-making..

Key observations

• White: In Brazil, the median household income for the households where the householder is White increased by $6,638(15.70%), between 2011 and 2021. The median household income, in 2022 inflation-adjusted dollars, was $42,287 in 2011 and $48,925 in 2021.
• Black or African American: Even though there is a population where the householder is Black or African American, there was no median household income reported by the U.S. Census Bureau for both 2011 and 2021.
• Refer to the research insights for more key observations on American Indian and Alaska Native, Asian, Native Hawaiian and Other Pacific Islander, Some other race and Two or more races (multiracial) households

https://i.neilsberg.com/ch/brazil-in-median-household-income-by-race-trends.jpeg" alt="Brazil, IN median household income trends across races (2011-2021, in 2022 inflation-adjusted dollars)">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race of the head of household: This column presents the self-identified race of the household head, encompassing all relevant racial categories (excluding ethnicity) applicable in Brazil.
• 2010: 2010 median household income
• 2011: 2011 median household income
• 2012: 2012 median household income
• 2013: 2013 median household income
• 2014: 2014 median household income
• 2015: 2015 median household income
• 2016: 2016 median household income
• 2017: 2017 median household income
• 2018: 2018 median household income
• 2019: 2019 median household income
• 2020: 2020 median household income
• 2021: 2021 median household income
• 2022: 2022 median household income
• Please note: 2020 1-Year ACS estimates data was not reported by Census Bureau due to impact on survey collection and analysis during COVID-19, thus for large cities (population 65,000 and above) median household income data is not available.
• Please note: All incomes have been adjusted for inflation and are presented in 2022-inflation-adjusted dollars.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Brazil median household income by race. You can refer the same here

Abstract The drinking water supply to urban populations suffers losses caused by leaks, theft and unauthorised use. This by-product of urbanisation is disproportionately greater in large cities, suggesting that it derives from complex socio-technical mechanisms, with apparently unpredictable behaviours as populations and social activities increase. With the purpose of verifying this hypothesis and seek for quantitative regularities between city size, the size of the utilities and the amount of losses, we analysed a network of municipalities in southern Brazil from the perspective of the "New Science of Cities”, using simple statistical techniques. We found highly hierarchical distributions, typical of natural complex systems, as well as non-linear scaling regimes between the cities’ population and the selected indicators: exponent <1 for the water distribution system variables (network extension, households connected, and volume produced) and > 1 for the volume of losses. Water losses, consistently presented higher per capita volumes as the population increased, with “increasing returns” comparable to products of social activity such as university degrees or bank deposits. The study presents a complementary approach to the problem, suggesting a certain degree of predictability of the losses at a regional level that can inform policy-making and support better decisions regarding the supply of drinking water in Brazilian cities.

Abstract The global urbanization of the territories, which is an important ongoing human ecological phenomenon, and whose environmental impacts have local, regional and global levels, has the remarkable property of a sharp growth of small and intermediate cities, in which capacity of planning and management is usually negligible, when they are compared to large cities. This is what takes place in Brazil, where medium-sized cities, those with populations between 100,000 and 500,000 residents are growing faster than large cities from mid-1990. The article aims to chart a typology of medium Brazilian cities, through multivariate statistical analysis. The resulting typology identifies two types of cities, with different social, environmental and management demands. Some of these cities are located in biodiversity hotspots. In parallel, we have compiled statistics on environmental management in place in these cities. Our results demonstrate low effectiveness of environmental management actions in these municipalities.

The present study assessed the identification of animal and object hoarding disorder cases by contact and mapping and the presence of animal protection programs in association with seven social–economic indicators of the metropolitan area of the ninth-biggest metropolitan area of Brazil. City Secretaries of Health and Environment provided demographic information and responded to a questionnaire. Overall, a very high level of hoarding case identification per municipality was associated with a higher Human Development Index, population, density, and income and related to distance from Curitiba, the capital of Parana State. Low and very low levels of hoarding case identification were related to greater area, higher Social Vulnerability Index (SVI), inequality, illiteracy, and rural areas. Very high identification level of animal protection programs was also associated with higher HDI, density and population, urban area, and high income, and geographical area. Similarly, low and very low levels of animal protection programs identification were major explained by low income, illiteracy, and distance related to higher population, urbanization, and higher HDI. In summary, better identification of hoarding cases and animal protection programs have shown an association with better socioeconomic indicators and higher population, density, and urban area. Whether municipalities with better human socioeconomic indicators may stimulate society's demands for identification of cases of individuals with hoarding disorder and animal programs should be further established. Regardless, animal health and welfare have been associated with improving human quality of life in a major Brazilian metropolitan area.

According to a 2024 survey, the largest proportion of social media users in Brazil lived in large cities with populations between 100 thousand to one million inhabitants. This type of urban area accounted for around ********* of all social media users. However, most of the users of Tumblr and Reddit lived in megacities with over five million inhabitants. Moreover, the audience bases of Facebook, Instagram and YouTube were the most representative of the type of community where social media platforms users lived, besides these being the most popular networks in the country.