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.

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 Other Deposit Takers for Brazil (BRAFCBODDLNUM) from 2005 to 2015 about branches and Brazil.

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).

In 2025, São Paulo emerged as the top business environment for startups in Brazil with a total score of *****, followed by Rio de Janeiro with a score of ***. Curitiba secured the third-best position among Brazilian business environments with a score of ****.

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.

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.

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.

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.

About this dataset

Context

This list ranks the 1 cities in the Major County, OK by Brazilian population, as estimated by the United States Census Bureau. It also highlights population changes in each city over the past five years.

Content

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

• 2019-2023 American Community Survey 5-Year Estimates
• 2014-2018 American Community Survey 5-Year Estimates
• 2009-2013 American Community Survey 5-Year Estimates

Variables / Data Columns

• Rank by Brazilian Population: This column displays the rank of city in the Major County, OK by their Brazilian population, using the most recent ACS data available.
• City: The City for which the rank is shown in the previous column.
• Brazilian Population: The Brazilian population of the city is shown in this column.
• % of Total City Population: This shows what percentage of the total city population identifies as Brazilian. Please note that the sum of all percentages may not equal one due to rounding of values.
• % of Total Major County Brazilian Population: This tells us how much of the entire Major County, OK Brazilian population lives in that city. Please note that the sum of all percentages may not equal one due to rounding of values.
• 5 Year Rank Trend: This column displays the rank trend across the last 5 years.

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/.

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.

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 The analysis of the literature review defines the spatial fragmentation based on a patchwork pattern as one of the main features of the Brazilian urban fabric. Considering that the recent housing policy, by providing a significance resources to build houses in “Minha Casa, Minha Vida” Program (PMCMV), impacts substantially the Brazilian cities, by either expanding or consolidating the urban grid, this paper explores the relationship between the national housing policies associated with the PMCMV and the urban configuration. The research focus is morphological, according to the theoretical, methodological and technical approach offered by the Theory of the Social Logic of Space (Space Syntax), considering a comparative and exploratory perspective. The analysis are focused in the developments contracted in the “Fundo de Arrendamento Residencial – FAR” category, in 24 Brazilian capitals, aiming at discussing to what extent these real estate developments caused impact in the urban network, taking into account a relational perspective. The evaluated hypothesis is that the new areas developed by means of the PMCMV follow the same fragmentary tendency identified in the country´s major cities, stressing the socio-spatial segregation. Findings, however, have suggested a more heterogeneous situation, in both negative and positive ways: sometimes the developments help to better connect the urban grid.

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.

About this dataset

Context

This list ranks the 5 cities in the Big Horn County, WY by Brazilian population, as estimated by the United States Census Bureau. It also highlights population changes in each city over the past five years.

Content

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

• 2019-2023 American Community Survey 5-Year Estimates
• 2014-2018 American Community Survey 5-Year Estimates
• 2009-2013 American Community Survey 5-Year Estimates

Variables / Data Columns

• Rank by Brazilian Population: This column displays the rank of city in the Big Horn County, WY by their Brazilian population, using the most recent ACS data available.
• City: The City for which the rank is shown in the previous column.
• Brazilian Population: The Brazilian population of the city is shown in this column.
• % of Total City Population: This shows what percentage of the total city population identifies as Brazilian. Please note that the sum of all percentages may not equal one due to rounding of values.
• % of Total Big Horn County Brazilian Population: This tells us how much of the entire Big Horn County, WY Brazilian population lives in that city. Please note that the sum of all percentages may not equal one due to rounding of values.
• 5 Year Rank Trend: This column displays the rank trend across the last 5 years.

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/.

About this dataset

Context

This list ranks the 365 cities in the Florida by Brazilian population, as estimated by the United States Census Bureau. It also highlights population changes in each city over the past five years.

Content

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

• 2019-2023 American Community Survey 5-Year Estimates
• 2014-2018 American Community Survey 5-Year Estimates
• 2009-2013 American Community Survey 5-Year Estimates

Variables / Data Columns

• Rank by Brazilian Population: This column displays the rank of city in the Florida by their Brazilian population, using the most recent ACS data available.
• City: The City for which the rank is shown in the previous column.
• Brazilian Population: The Brazilian population of the city is shown in this column.
• % of Total City Population: This shows what percentage of the total city population identifies as Brazilian. Please note that the sum of all percentages may not equal one due to rounding of values.
• % of Total Florida Brazilian Population: This tells us how much of the entire Florida Brazilian population lives in that city. Please note that the sum of all percentages may not equal one due to rounding of values.
• 5 Year Rank Trend: This column displays the rank trend across the last 5 years.

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/.

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.

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!

In 2024, Florianópolis was considered the leading smart city in Brazil, having received an index score of ***** points. Vitória ranked second that year, at **** points. Meanwhile, Brazil's most populated city, São Paulo, received an index score of ***** points, following in third place.

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.