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.

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.

Graph and download economic data for Geographical Outreach: Number of Branches in 3 Largest Cities, Excluding Headquarters, for Other Deposit Takers for Brazil (BRAFCBODDLNUM) from 2005 to 2015 about branches and Brazil.

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.

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).

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.

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.

Abstract Ambulatory care sensitive hospitalizations have been used as an indicator of the effectiveness of primary health care. The research involved a descriptive analysis of the evolution of national indicators from 1998 to 2012 and a cross-sectional study of Brazilian municipalities with populations greater than 50,000, by region of the country, for the year 2012, using correlation and linear regression statistical techniques. There was a slight decline in the proportion of ambulatory care sensitive hospitalizations in Brazil. Socioeconomic and demographic factors and physician supply in the healthcare system are associated with the proportion of ambulatory care sensitive hospitalizations, differing by region of the country. Despite advances in the expansion of the Family Health Strategy, some challenges remain, including better distribution of physicians and other health professionals in the country and effective changes in the healthcare model.

Context

There's a story behind every dataset and here's your opportunity to share yours.

Content

What's inside is more than just rows and columns. Make it easy for others to get started by describing how you acquired the data and what time period it represents, too.

Acknowledgements

We wouldn't be here without the help of others. If you owe any attributions or thanks, include them here along with any citations of past research.

Inspiration

Your data will be in front of the world's largest data science community. What questions do you want to see answered?

Abstract COVID-19 has been affecting the way of life in cities. The pandemic curve grows significantly in some countries, such as Brazil, requiring rapid responses from the public administration. This research, conducted in April 2020, characterizes the use of digital tools in adapting Brazilian cities to the pandemic in light of the concept of smart cities, presenting a panorama of the current situation. The results indicated that 83% of the cities surveyed used digital tools in measures to fight the pandemic, such as increasing social distancing and adapting public services. The concentration of initiatives tends to follow the geographic distribution of confirmed cases, i.e., digital tools are more used in places where the pandemic curve is more accentuated. Also, cities that are historically more open to innovation demonstrated a heavier use of digital technologies and strategies to fight the pandemic. Finally, the results indicate that the largest Brazilian cities follow, at some level, the trends of digital optimization observed worldwide.

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.

From the 2000s, the Brazilian housing market has undergone significant changes that allowed the resumption of construction growth, the number of units built and sold. These changes were made possible due to a number of changes in urban and housing policies, especially in the expansion of the supply of housing finance, allowing the incorporation of a larger portion of the population in access to housing. However, the effects of these recent housing policies are not clear yet. On the one hand, the growth in the value of real estate was widespread, reaching levels comparable to the major worldwide centers, especially in large Brazilian cities and metropolitan areas. On the other hand, there is little knowledge about the quantitative effects of this model. That means that it is still unknown whether the share of homeowners has increased significantly, with a consequent reduction in the number of rented homes. To this end, this article proposes an initial exploratory analysis using data from the 1991, 2000 and 2010 Demographic Censuses. The objective is to assess whether these policies have altered the dynamics of occupation conditions in households in the metropolitan scale. We analyzed data from the three largest metropolitan areas (Belo Horizonte, Sao Paulo and Rio de Janeiro) in the country, comparing the changes between central and peripheral cities. The text is structured on the discussion of the housing market in Brazil, including the innovations in terms of public policies in recent period and on our own analysis of census data, indicating their potential and limits to deal with housing issues.

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.

Graph and download economic data for Geographical Outreach: Number of Branches in 3 Largest Cities, Excluding Headquarters, for Non-deposit Taking Microfinance Institutions (MFIs) for Brazil (BRAFCBMFNLNUM) from 2005 to 2015 about microfinance, branches, and Brazil.

Temperature Time-Series for some Brazilian cities

Do you ever wonder how are temperatures in Brazilian cities? Too hot? Cold weather sometimes? And what about climate changes? Is Brazil getting hotter?

This is your chance to check it out!

Context

This datasets are collected in order to provide some answers for the above question through Data Analysis. Maybe you want to try some Machine Learning model in order to practice and predict the evolution of temperature in some Brazilian cities.

Content

The content is provided by NOAA GHCN v4 and post-processed by NASA's GISTEMP v4.

In summary, each data file contains a temperature time series for a station named according to the city. The time series provides temperature records by month for each year. Some mean measurement is calculated, like metANN and D-J-F. I can't give details about these quantities, nor how they are calculated. Please refer for NASA GISTEMP website in this regard. The most important seems to be metANN, which is an annual temperature mean.

Acknowledgements

These datasets are provided through NASA's GISTEMP v4 and recorded by NOAA GHCN v4. Thanks for researchers and staffs for the really nice work!

Yearly citation counts for the publication titled "Technical potential of electricity production from municipal solid waste disposed in the biggest cities in Brazil: Landfill gas, biogas and thermal treatment".

From March 17 to March 31, 2020, the road traffic in major cities in Brazil has decreased due to the COVID-19 outbreak. The cities of São Paulo and Rio de Janeiro have shown the greatest impact, with a vehicle traffic drop of 62 percent in comparison to the same period a year earlier. For further information about the coronavirus pandemic, please visit our dedicated Fact and Figures page.

Adjusted model for association with the incidence of Covid-19 in the largest cities of all federal units in Brazil stratified by the coverage of primary health care.

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.