39 datasets found
  1. Largest cities in Brazil by population 2024

    • statista.com
    Updated Jul 9, 2025
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    Statista (2025). Largest cities in Brazil by population 2024 [Dataset]. https://www.statista.com/statistics/259227/largest-cities-in-brazil/
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    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Brazil
    Description

    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.

  2. Largest cities in Latin America by population 2025

    • statista.com
    Updated Apr 8, 2025
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    Statista (2025). Largest cities in Latin America by population 2025 [Dataset]. https://www.statista.com/statistics/1374285/largest-metropolitan-areas-in-latam/
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    Dataset updated
    Apr 8, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2025
    Area covered
    Latin America, Americas, LAC
    Description

    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.

  3. Brazil: leading cities in São Paulo in 2024, by number of vegetarians and...

    • statista.com
    Updated Jun 25, 2024
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    Statista (2024). Brazil: leading cities in São Paulo in 2024, by number of vegetarians and vegans [Dataset]. https://www.statista.com/statistics/873878/brazil-vegetarians-vegans-sao-paulo/
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    Dataset updated
    Jun 25, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jun 2024
    Area covered
    Brazil
    Description

    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.

  4. Brazil: leading cities in 2024, by number of vegetarians, vegans and...

    • statista.com
    Updated Jun 25, 2024
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    Statista (2024). Brazil: leading cities in 2024, by number of vegetarians, vegans and supporters [Dataset]. https://www.statista.com/statistics/873904/brazil-vegetarians-vegans-cities/
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    Dataset updated
    Jun 25, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jun 2024
    Area covered
    Brazil
    Description

    According to an online survey as of June 2024, the number of self-identified vegetarians, vegans and supporters in Brazil was highest in the city of São Paulo, with more than 4.2 thousand respondents. The second largest population was found in Rio de Janeiro, with nearly two thousand people. In 2018, 14 percent of respondents in a survey in Brazil identified as vegetarians.

  5. w

    Surveying Japanese-Brazilian Households: Comparison of Census-Based,...

    • microdata.worldbank.org
    • catalog.ihsn.org
    Updated Jan 9, 2020
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    David McKenzie (2020). Surveying Japanese-Brazilian Households: Comparison of Census-Based, Snowball and Intercept Point Surveys 2006 - Brazil [Dataset]. https://microdata.worldbank.org/index.php/catalog/2231
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    Dataset updated
    Jan 9, 2020
    Dataset provided by
    Johan Mistiaen
    David McKenzie
    Time period covered
    2006 - 2007
    Area covered
    Brazil
    Description

    Abstract

    This study is an experiment designed to compare the performance of three methodologies for sampling households with migrants:

    • a stratified sample using the census to sample census tracts randomly, in which each household is then listed and screened to determine whether or not it has a migrant, with the full length questionnaire then being applied in a second phase only to the households of interest;
    • a snowball survey in which households are asked to provide referrals to other households with migrant members;
    • an intercept point survey (or time-and-space sampling survey), in which individuals are sampled during set time periods at a prespecified set of locations where households in the target group are likely to congregate.

    Researchers from the World Bank applied these methods in the context of a survey of Brazilians of Japanese descent (Nikkei), requested by the World Bank. There are approximately 1.2-1.9 million Nikkei among Brazil’s 170 million population.

    The survey was designed to provide detail on the characteristics of households with and without migrants, to estimate the proportion of households receiving remittances and with migrants in Japan, and to examine the consequences of migration and remittances on the sending households.

    The same questionnaire was used for the stratified random sample and snowball surveys, and a shorter version of the questionnaire was used for the intercept surveys. Researchers can directly compare answers to the same questions across survey methodologies and determine the extent to which the intercept and snowball surveys can give similar results to the more expensive census-based survey, and test for the presence of biases.

    Geographic coverage

    Sao Paulo and Parana states

    Analysis unit

    Japanese-Brazilian (Nikkei) households and individuals

    The 2000 Brazilian Census was used to classify households as Nikkei or non-Nikkei. The Brazilian Census does not ask ethnicity but instead asks questions on race, country of birth and whether an individual has lived elsewhere in the last 10 years. On the basis of these questions, a household is classified as (potentially) Nikkei if it has any of the following: 1) a member born in Japan; 2) a member who is of yellow race and who has lived in Japan in the last 10 years; 3) a member who is of yellow race, who was not born in a country other than Japan (predominantly Korea, Taiwan or China) and who did not live in a foreign country other than Japan in the last 10 years.

    Kind of data

    Sample survey data [ssd]

    Sampling procedure

    1) Stratified random sample survey

    Two states with the largest Nikkei population - Sao Paulo and Parana - were chosen for the study.

    The sampling process consisted of three stages. First, a stratified random sample of 75 census tracts was selected based on 2000 Brazilian census. Second, interviewers carried out a door-to-door listing within each census tract to determine which households had a Nikkei member. Third, the survey questionnaire was then administered to households that were identified as Nikkei. A door-to-door listing exercise of the 75 census tracts was then carried out between October 13th, 2006, and October 29th, 2006. The fieldwork began on November 19, 2006, and all dwellings were visited at least once by December 22, 2006. The second wave of surveying took place from January 18th, 2007, to February 2nd, 2007, which was intended to increase the number of households responding.

    2) Intercept survey

    The intercept survey was designed to carry out interviews at a range of locations that were frequented by the Nikkei population. It was originally designed to be done in Sao Paulo city only, but a second intercept point survey was later carried out in Curitiba, Parana. Intercept survey took place between December 9th, 2006, and December 20th, 2006, whereas the Curitiba intercept survey took place between March 3rd and March 12th, 2007.

    Consultations with Nikkei community organizations, local researchers and officers of the bank Sudameris, which provides remittance services to this community, were used to select a broad range of locations. Interviewers were assigned to visit each location during prespecified blocks of time. Two fieldworkers were assigned to each location. One fieldworker carried out the interviews, while the other carried out a count of the number of people with Nikkei appearance who appeared to be 18 years old or older who passed by each location. For the fixed places, this count was made throughout the prespecified time block. For example, between 2.30 p.m. and 3.30 p.m. at the sports club, the interviewer counted 57 adult Nikkeis. Refusal rates were carefully recorded, along with the sex and approximate age of the person refusing.

    In all, 516 intercept interviews were collected.

    3) Snowball sampling survey

    The questionnaire that was used was the same as used for the stratified random sample. The plan was to begin with a seed list of 75 households, and to aim to reach a total sample of 300 households through referrals from the initial seed households. Each household surveyed was asked to supply the names of three contacts: (a) a Nikkei household with a member currently in Japan; (b) a Nikkei household with a member who has returned from Japan; (c) a Nikkei household without members in Japan and where individuals had not returned from Japan.

    The snowball survey took place from December 5th to 20th, 2006. The second phase of the snowballing survey ran from January 22nd, 2007, to March 23rd, 2007. More associations were contacted to provide additional seed names (69 more names were obtained) and, as with the stratified sample, an adaptation of the intercept survey was used when individuals refused to answer the longer questionnaire. A decision was made to continue the snowball process until a target sample size of 100 had been achieved.

    The final sample consists of 60 households who came as seed households from Japanese associations, and 40 households who were chain referrals. The longest chain achieved was three links.

    Mode of data collection

    Face-to-face [f2f]

    Research instrument

    1) Stratified sampling and snowball survey questionnaire

    This questionnaire has 36 pages with over 1,000 variables, taking over an hour to complete.

    If subjects refused to answer the questionnaire, interviewers would leave a much shorter version of the questionnaire to be completed by the household by themselves, and later picked up. This shorter questionnaire was the same as used in the intercept point survey, taking seven minutes on average. The intention with the shorter survey was to provide some data on households that would not answer the full survey because of time constraints, or because respondents were reluctant to have an interviewer in their house.

    2) Intercept questionnaire

    The questionnaire is four pages in length, consisting of 62 questions and taking a mean time of seven minutes to answer. Respondents had to be 18 years old or older to be interviewed.

    Response rate

    1) Stratified random sampling 403 out of the 710 Nikkei households were surveyed, an interview rate of 57%. The refusal rate was 25%, whereas the remaining households were either absent on three attempts or were not surveyed because building managers refused permission to enter the apartment buildings. Refusal rates were higher in Sao Paulo than in Parana, reflecting greater concerns about crime and a busier urban environment.

    2) Intercept Interviews 516 intercept interviews were collected, along with 325 refusals. The average refusal rate is 39%, with location-specific refusal rates ranging from only 3% at the food festival to almost 66% at one of the two grocery stores.

  6. S

    Data for: Occurrence and ecological risk assessment of pharmaceutically...

    • data.scielo.org
    pdf, txt
    Updated Apr 6, 2023
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    Alessandro Minillo; Alessandro Minillo; William Deodato Isique; William Deodato Isique; Claudia Andrea Lima Cardoso; Claudia Andrea Lima Cardoso; Yzel Rondon Súarez; Yzel Rondon Súarez (2023). Data for: Occurrence and ecological risk assessment of pharmaceutically active compounds in neotropical small basins, Brazil [Dataset]. http://doi.org/10.48331/SCIELODATA.XO1XDK
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    pdf(285723), txt(1027)Available download formats
    Dataset updated
    Apr 6, 2023
    Dataset provided by
    SciELO Data
    Authors
    Alessandro Minillo; Alessandro Minillo; William Deodato Isique; William Deodato Isique; Claudia Andrea Lima Cardoso; Claudia Andrea Lima Cardoso; Yzel Rondon Súarez; Yzel Rondon Súarez
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Brazil
    Description

    This study aimed to investigate the occurrence, distribution of PAC, as well as the ecological risk assessment in three forest streams in center-west of Brazil. Samples water of three streams were collected in the second largest city in Mato Grosso do Sul State, Brazil. Physicochemical parameters and concentrations of PAC were quantified in samples collected in six field campaigns. The target compounds in samples were analyzed using high-performance liquid chromatography (HPLC). The risk evaluation was performed calculating the risk quotient (RQ), expressed by dividing the maximum measured environmental concentration (MEC) of an individual compound by the predicted no-effect concentration (PNEC).

  7. e

    Guanabara Bay, Rio de Janeiro - Brazil - Dataset - B2FIND

    • b2find.eudat.eu
    Updated May 9, 2023
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    (2023). Guanabara Bay, Rio de Janeiro - Brazil - Dataset - B2FIND [Dataset]. https://b2find.eudat.eu/dataset/f93ccb07-8501-54c9-b04d-1adc187a5195
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    Dataset updated
    May 9, 2023
    Area covered
    Guanabara Bay, Rio de Janeiro, Brazil
    Description

    Guanabara Bay (GB) is the second largest bay in the coast of Brazil (384 km2) (22o41 to 22o56 S ; 43o02 to 43o18 W). In its surroundings live 16 million inhabitants (6 million in Rio de Janeiro city). This system experiences steep spatial gradient from the entrance to inner bay. GB receives high load of nutrients and organic material from riverine sources and from domestic and industrial sewage inputs. As a consequence, this system is characterized as a high eutrophicate and polluted one. In spite of its poor environmental status, GB still presents many living resources who use the bay as a refuge, feeding and nursery grounds, with some of those species having commercial interest. An important characteristic of GB is the influence of South Atlantic Central Water, a deep, cold and rich nutrient water, that enters the bay during the Cabo Frio upwelling period. This phenomenon permits to maintain the bay at a relative good health level in its central part, in contrast with the marginal areas highly polluted. Although encroached on by urban expansion, the inner east margins of Guanabara Bay is still bordered by a 90 km2 fringing mangrove system, of which 43 km2 is an environmental protection area, Guapimirim.

  8. Persistence of chikungunya ECSA genotype and local outbreak in an upper...

    • plos.figshare.com
    tiff
    Updated May 30, 2023
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    Jaqueline Goes de Jesus; Gabriel da Luz Wallau; Maricelia Lima Maia; Joilson Xavier; Maria Aparecida Oliveira Lima; Vagner Fonseca; Alvaro Salgado de Abreu; Stephane Fraga de Oliveira Tosta; Helineide Ramos do Amaral; Italo Andrade Barbosa Lima; Paloma Viana Silva; Daiana Carlos dos Santos; Aline Sousa de Oliveira; Siane Campos de Souza; Melissa Barreto Falcão; Erenilde Cerqueira; Laís Ceschini Machado; Mariana Carolina Sobral; Tatiana Maria Teodoro Rezende; Mylena Ribeiro Pereira; Felicidade Mota Pereira; Zuinara Pereira Gusmão Maia; Rafael Freitas de Oliveira França; André Luiz de Abreu; Carlos Frederico Campelo de Albuquerque e Melo; Nuno Rodrigues Faria; Rivaldo Venâncio da Cunha; Marta Giovanetti; Luiz Carlos Junior Alcantara (2023). Persistence of chikungunya ECSA genotype and local outbreak in an upper medium class neighborhood in Northeast Brazil [Dataset]. http://doi.org/10.1371/journal.pone.0226098
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    tiffAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Jaqueline Goes de Jesus; Gabriel da Luz Wallau; Maricelia Lima Maia; Joilson Xavier; Maria Aparecida Oliveira Lima; Vagner Fonseca; Alvaro Salgado de Abreu; Stephane Fraga de Oliveira Tosta; Helineide Ramos do Amaral; Italo Andrade Barbosa Lima; Paloma Viana Silva; Daiana Carlos dos Santos; Aline Sousa de Oliveira; Siane Campos de Souza; Melissa Barreto Falcão; Erenilde Cerqueira; Laís Ceschini Machado; Mariana Carolina Sobral; Tatiana Maria Teodoro Rezende; Mylena Ribeiro Pereira; Felicidade Mota Pereira; Zuinara Pereira Gusmão Maia; Rafael Freitas de Oliveira França; André Luiz de Abreu; Carlos Frederico Campelo de Albuquerque e Melo; Nuno Rodrigues Faria; Rivaldo Venâncio da Cunha; Marta Giovanetti; Luiz Carlos Junior Alcantara
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Northeast Region, Brazil
    Description

    The chikungunya East/Central/South/Africa virus lineage (CHIKV-ECSA) was first detected in Brazil in the municipality of Feira de Santana (FS) by mid 2014. Following that, a large number of CHIKV cases have been notified in FS, which is the second-most populous city in Bahia state, northeastern Brazil, and plays an important role on the spread to other Brazilian states due to climate conditions and the abundance of competent vectors. To better understand CHIKV dynamics in Bahia state, we generated 5 complete genome sequences from a local outbreak raised in Serraria Brasil, a neighbourhood in FS, by next-generation sequencing using Illumina approach. Phylogenetic reconstructions revealed that the new FS genomes belongs to the ECSA genotype and falls within a single strongly supported monophyletic clade that includes other older CHIKV sequences from the same location, suggesting the persistence of the virus during distinct epidemic seasons. We also performed minor variants analysis and found a small number of SNPs per sample (b_29L and e_45SR = 16 SNPs, c_29SR = 29 and d_45PL and f_45FL = 21 SNPs). Out of the 93 SNPs found, 71 are synonymous, 21 are non-synonymous and one generated a stop codon. Although those mutations are not related to the increase of virus replication and/or infectivity, some SNPs were found in non-structural proteins which may have an effect on viral evasion from the mammal immunological system. These findings reinforce the needing of further studies on those variants and of continued genomic surveillance strategies to track viral adaptations and to monitor CHIKV epidemics for improved public health control.

  9. Brazil: leading cities in Rio de Janeiro 2020, by number of vegetarians and...

    • statista.com
    Updated Jul 25, 2023
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    Statista (2023). Brazil: leading cities in Rio de Janeiro 2020, by number of vegetarians and vegans [Dataset]. https://www.statista.com/statistics/873909/brazil-vegetarians-vegans-rio-de-janeiro/
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    Dataset updated
    Jul 25, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 2020
    Area covered
    Brazil
    Description

    According to an online survey as of March 2020, the majority of the population who identified as vegetarian, vegan or supporter in the state of Rio de Janeiro were from the city of Rio de Janeiro, with over nearly two thousand people. The second largest population was found in Niterói, with 263 respondents. As of that year, Rio de Janeiro was the second city in the country with the highest amount of self-identified vegetarians, vegans and supporters.

  10. B

    Brazil Residential Real Estate Industry Report

    • marketreportanalytics.com
    doc, pdf, ppt
    Updated Apr 25, 2025
    + more versions
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    Market Report Analytics (2025). Brazil Residential Real Estate Industry Report [Dataset]. https://www.marketreportanalytics.com/reports/brazil-residential-real-estate-industry-92063
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    ppt, doc, pdfAvailable download formats
    Dataset updated
    Apr 25, 2025
    Dataset authored and provided by
    Market Report Analytics
    License

    https://www.marketreportanalytics.com/privacy-policyhttps://www.marketreportanalytics.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Brazil
    Variables measured
    Market Size
    Description

    The Brazil residential real estate market, valued at $59.61 billion in 2025, exhibits robust growth potential, projected to expand at a Compound Annual Growth Rate (CAGR) of 5.40% from 2025 to 2033. This growth is fueled by several key factors. Firstly, a burgeoning middle class with increasing disposable income is driving demand for housing, particularly in urban areas experiencing significant population growth. Secondly, government initiatives aimed at stimulating the construction sector and improving access to mortgages are contributing to market expansion. Furthermore, a preference for modern, amenity-rich housing developments is shaping construction trends, with developers focusing on sustainable building practices and incorporating smart home technologies to cater to evolving consumer preferences. However, challenges remain. High inflation and interest rates can impact affordability, potentially dampening demand, especially in the higher-priced segments like villas and landed houses. Furthermore, bureaucratic hurdles and land scarcity in certain regions could restrain overall market growth. Market segmentation reveals significant opportunities within both the apartments and condominiums segment, driven by affordability and convenience, and the villas and landed houses segment, appealing to higher-income buyers seeking larger spaces and greater privacy. Leading developers are strategically adapting their offerings to meet this diverse demand. The competitive landscape is characterized by a mix of large, established players such as MRV Engenharia and Cyrela Brazil Realty, and smaller, specialized developers. These companies are continually innovating to maintain their market share, focusing on factors like location, design, and amenities to attract buyers. The ongoing expansion of Brazil's major cities and the government's focus on infrastructure development will further shape market dynamics over the forecast period, offering significant investment opportunities. Analyzing the historical period (2019-2024) alongside the forecast period provides a comprehensive understanding of market trends, revealing both the cyclical nature of the real estate sector and the longer-term growth trajectory driven by demographic and economic forces. This understanding is crucial for investors and developers seeking to navigate this dynamic and promising market. Recent developments include: July 2023: The Brazilian President committed to converting abandoned public buildings into affordable housing units as he enacted a law for the construction of two million homes by 2026 under the My House My Life initiative. Depending on family income, financing options will range from USD 35,000 to USD 73,000, with interest rates varying between 4% and 8.16% annually for families with higher loan amounts.March 2023: As a leader in the high-income sector in Brazil, JHSF invested in the newly launched Reserva Cidade Jardim, set to be completed by the second half of 2026. This development represents the highest-priced product per square meter offered by JHSF and is expected to make a significant impact in São Paulo. Prices per square meter vary depending on the unit size and start at USD 9,671. Situated within a lush green reserve spanning 20,000 sq. m, the size of each unit ranges from 455 to 1,300 sq. m. The buildings offer floor plans with city views, and residents will have access to Hotel Fasano's amenities, including tennis, beach tennis, squash, basketball courts, and a 25-meter swimming pool. Renowned architects such as Sig Bergamin, Murilo Lomas, and Pablo Slemenson are behind the project's design.. Key drivers for this market are: Increase in the Development of Cost-effective Housing Initiatives, Government Programs and Policies Advancing the Market. Potential restraints include: Increase in the Development of Cost-effective Housing Initiatives, Government Programs and Policies Advancing the Market. Notable trends are: Public Sector Initiatives Accelerating Market Growth.

  11. f

    Data from: The ongoing COVID-19 epidemic in Minas Gerais, Brazil: insights...

    • tandf.figshare.com
    docx
    Updated Feb 15, 2024
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    Joilson Xavier; Marta Giovanetti; Talita Adelino; Vagner Fonseca; Alana Vitor Barbosa da Costa; Adriana Aparecida Ribeiro; Katlin Nascimento Felicio; Clara Guerra Duarte; Marcos Vinicius Ferreira Silva; Álvaro Salgado; Mauricio Teixeira Lima; Ronaldo de Jesus; Allison Fabri; Cristiane Franco Soares Zoboli; Thales Gutemberg Souza Santos; Felipe Iani; Massimo Ciccozzi; Ana Maria Bispo de Filippis; Marilda Agudo Mendonça Teixeira de Siqueira; André Luiz de Abreu; Vasco de Azevedo; Dario Brock Ramalho; Carlos F. Campelo de Albuquerque; Tulio de Oliveira; Edward C. Holmes; José Lourenço; Luiz Carlos Junior Alcantara; Marluce Aparecida Assunção Oliveira (2024). The ongoing COVID-19 epidemic in Minas Gerais, Brazil: insights from epidemiological data and SARS-CoV-2 whole genome sequencing [Dataset]. http://doi.org/10.6084/m9.figshare.12853736.v1
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    docxAvailable download formats
    Dataset updated
    Feb 15, 2024
    Dataset provided by
    Taylor & Francis
    Authors
    Joilson Xavier; Marta Giovanetti; Talita Adelino; Vagner Fonseca; Alana Vitor Barbosa da Costa; Adriana Aparecida Ribeiro; Katlin Nascimento Felicio; Clara Guerra Duarte; Marcos Vinicius Ferreira Silva; Álvaro Salgado; Mauricio Teixeira Lima; Ronaldo de Jesus; Allison Fabri; Cristiane Franco Soares Zoboli; Thales Gutemberg Souza Santos; Felipe Iani; Massimo Ciccozzi; Ana Maria Bispo de Filippis; Marilda Agudo Mendonça Teixeira de Siqueira; André Luiz de Abreu; Vasco de Azevedo; Dario Brock Ramalho; Carlos F. Campelo de Albuquerque; Tulio de Oliveira; Edward C. Holmes; José Lourenço; Luiz Carlos Junior Alcantara; Marluce Aparecida Assunção Oliveira
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    State of Minas Gerais, Brazil
    Description

    The recent emergence of a coronavirus (SARS-CoV-2), first identified in the Chinese city of Wuhan in December 2019, has had major public health and economic consequences. Although 61,888 confirmed cases were reported in Brazil by 28 April 2020, little is known about the SARS-CoV-2 epidemic in this country. To better understand the recent epidemic in the second most populous state in southeast Brazil - Minas Gerais (MG) - we sequenced 40 complete SARS-CoV-2 genomes from MG cases and examined epidemiological data from three Brazilian states. Both the genome analyses and the geographical distribution of reported cases indicate for multiple independent introductions into MG. Epidemiological estimates of the reproductive number (R) using different data sources and theoretical assumptions suggest the potential for sustained virus transmission despite a reduction in R from the first reported case to the end of April 2020. The estimated date of SARS-CoV-2 introduction into Brazil was consistent with epidemiological data from the first case of a returned traveller from Lombardy, Italy. These findings highlight the nature of the COVID-19 epidemic in MG and reinforce the need for real-time and continued genomic surveillance strategies to better understand and prepare for the epidemic spread of emerging viral pathogens..

  12. Brazil: annual ridership of the Rio de Janeiro metro 2016-2020

    • statista.com
    Updated Jul 23, 2025
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    Statista (2025). Brazil: annual ridership of the Rio de Janeiro metro 2016-2020 [Dataset]. https://www.statista.com/statistics/1274939/annual-riderhip-rio-de-janerio-subway/
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    Dataset updated
    Jul 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Brazil
    Description

    The annual number of passengers of the Rio de Janeiro subway system almost remained stable, above the *** million margin between 2016 and 2019. However, amid the COVID-19 pandemic, the ridership of the metro system declined significantly to ***** million in 2020. Rio de Janeiro is the second largest city in Brazil, counting over * million inhabitants.

  13. f

    Genotyping of Mycobacterium leprae for better understanding of leprosy...

    • plos.figshare.com
    tiff
    Updated May 30, 2023
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    Amanda N. B. Fontes; Luana N. G. C. Lima; Rosa M. S. Mota; Rosa L. F. Almeida; Maria A. Pontes; Heitor de S. Gonçalves; Cristiane C. Frota; Varalakshmi D. Vissa; Patrick J. Brennan; Ricardo J. P. S. Guimaraes; Carl Kendall; Ligia R. F. S. Kerr; Philip N. Suffys (2023). Genotyping of Mycobacterium leprae for better understanding of leprosy transmission in Fortaleza, Northeastern Brazil [Dataset]. http://doi.org/10.1371/journal.pntd.0006117
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    tiffAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    PLOS Neglected Tropical Diseases
    Authors
    Amanda N. B. Fontes; Luana N. G. C. Lima; Rosa M. S. Mota; Rosa L. F. Almeida; Maria A. Pontes; Heitor de S. Gonçalves; Cristiane C. Frota; Varalakshmi D. Vissa; Patrick J. Brennan; Ricardo J. P. S. Guimaraes; Carl Kendall; Ligia R. F. S. Kerr; Philip N. Suffys
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Northeast Region, Fortaleza, Brazil
    Description

    Leprosy is endemic in large part of Brazil with 28,761 new patients in 2015, the second largest number worldwide and reaches 9/10.000 in highly endemic regions and 2.7/10.000 in the city of Fortaleza, Ceará, Northeast Brazil. For better understanding of risk factors for leprosy transmission, we conducted an epidemiologic study supplemented by 17 locus VNTR and SNP 1–4 typing of Mycobacterium leprae in skin biopsy samples from new multibacillary (MB) patients diagnosed at a reference center in 2009 and 2010. Among the 1,519 new patients detected during the study period, 998 (65.7%) were MB and we performed DNA extraction and genotyping on 160 skin biopsy samples, resulting in 159 (16%) good multilocus VNTR types. Thirty-eight of these patients also provided VNTR types from M. leprae in nasal swabs. The SNP-Type was obtained for 157 patients and 87% were of type 4. Upon consideration all VNTR markers, 156 different genotypes and three pairs with identical genotypes were observed; no epidemiologic relation could be observed between individuals in these pairs. Considerable variability in differentiating index (DI) was observed between the different markers and the four with highest DI [(AT)15, (TA)18, (AT)17 and (GAA)21] frequently demonstrated differences in copy number when comparing genotypes from both type of samples. Excluding these markers from analysis resulted in 83 genotypes, 20 of which included 96 of the patients (60.3%). These clusters were composed of two (n = 8), three (n = 6), four (n = 1), five (n = 2), six (n = 1), 19 (n = 1) and 23 (n = 23) individuals and suggests that recent transmission is contributing to the maintenance of leprosy in Fortaleza. When comparing epidemiological and clinical variables among patients within clustered or with unique M. leprae genotypes, a positive bacterial index in skin biopsies and knowledge of working with someone with the disease were significantly associated with clustering. A tendency to belong to a cluster was observed with later notification of disease (mean value of 3.4 months) and having disability grade 2. A tendency for lack of clustering was observed for patients who reported to have lived with another leprosy case but this might be due to lack of inclusion of household contacts in the study. Although clusters were spread over the city, kernel analysis revealed that some of the patients belonging to the two major clusters were spatially related to some neighborhoods that report poverty and high disease incidence in children. Finally, inclusion of genotypes from nasal swabs might be warranted. A major limitation of the study is that sample size of 160 patients from a two year period represents only 15% of the new patients and this could have weakened statistical outcomes. This is the first molecular epidemiology study of leprosy in Brazil and although the high clustering level suggests that recent transmission is the major cause of disease in Fortaleza; the existence of two large clusters needs further investigation.

  14. f

    Data from: Migration flows between levels of the Brazilian urban hierarchy...

    • scielo.figshare.com
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    Updated May 30, 2023
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    Rodrigo Coelho de Carvalho; Elin Charles-Edwards (2023). Migration flows between levels of the Brazilian urban hierarchy in the period 1980-2010 [Dataset]. http://doi.org/10.6084/m9.figshare.11313143.v1
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    jpegAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    SciELO journals
    Authors
    Rodrigo Coelho de Carvalho; Elin Charles-Edwards
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Abstract In the 1980s, an inflexion was observed in the spatial redistribution of the Brazilian population, attributed to the relative economic decentralization initiated in the 1970s, especially regarding industrial activities. These changes in the national space economy led to dramatic changes in the volumes and directions of migration flows. This paper researches the impact of the changing patterns of migration across the Brazilian urban hierarchy over the last three decades to determine if a process of deconcentration, as pointed out by some authors, is, in fact, underway. The flows between different levels of the urban hierarchy were calculated based on census data and represented visually in a series of graphs. If a process of deconcentration is occurring, an increase of flows from urban centres positioned in the higher hierarchical levels to lower order centres is expected. This study indicates a process of population concentration in larger cities, but not in the highest level of the urban hierarchy - which suggests an inflexion of historical metropolization tendencies in Brazil. The growing importance of “Regional Capitals”, the second highest level, suggests a process of restructuration and relative decompression of the urban system, although the pace of these changes is slowing down.

  15. Annual GDP of Rio de Janeiro 2010-2021

    • statista.com
    Updated Dec 9, 2024
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    Statista (2024). Annual GDP of Rio de Janeiro 2010-2021 [Dataset]. https://www.statista.com/statistics/1381960/gdp-of-rio-de-janeiro/
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    Dataset updated
    Dec 9, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Brazil
    Description

    From 2010 to 2018, Rio de Janeiro's GDP consistently increased, achieving its highest level at over 363 billion Brazilian reals. From 2018 to 2020 however, the GDP of the Brazilian city went into decline, with the value falling to just over 331 billion Brazilian reals in 2020. In 2021, Rio's GDP increased again, to nearly 360 billion Reals.

  16. Public expenditure of Rio de Janeiro 2024, per category

    • statista.com
    Updated Jul 9, 2025
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    Statista (2025). Public expenditure of Rio de Janeiro 2024, per category [Dataset]. https://www.statista.com/statistics/1385788/rio-de-janeiro-public-spending/
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    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    Brazil
    Description

    In 2024, Rio de Janeiro's City Hall spent over ** billion Brazilian reals. Of this, **** billion was used for education. The second-largest expense category was health, where the City Council spent approximately *** billion Brazilian reals. The industry was the category with the least funding, having spent approximately **** billion Brazilian reals.

  17. Leading smart cities in Brazil 2024, by index score

    • statista.com
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    Statista, Leading smart cities in Brazil 2024, by index score [Dataset]. https://www.statista.com/statistics/1190327/leading-smart-cities-brazil/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    Brazil
    Description

    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.

  18. Countries with the highest level of Brazilian emigration 2023

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). Countries with the highest level of Brazilian emigration 2023 [Dataset]. https://www.statista.com/statistics/1394414/brazil-communities-abroad-country/
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    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    Brazil
    Description

    In 2023, it was estimated that more than ********* Brazilians were living outside Brazil. The United States had the largest community, with over ********* Brazilian citizens. Portugal was the second country with the largest Brazilian community, namely ******* citizens. Brazilians abroad The Brazilian community sought economic opportunities in the United States in the 1980s, leading to the establishment of communities in New York and Boston. Facilitated by the common language and Portugal's favorable laws for the Community of Portuguese-speaking countries, Lisbon became the most popular destination in Europe. This city harbors more than ****** Brazilians, with women making up the majority of these. Immigration in Brazil Although more than ********* Brazilians live outside of Brazil, the country has had a positive migration rate since 2010, meaning that more people are arriving than leaving. One factor contributing to this is the current humanitarian crisis in Venezuela, which has increased the number of refugees arriving in Brazil each year.

  19. Number of Brazilian emigrants in the United States 2023, by consulate

    • statista.com
    Updated Jun 19, 2025
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    Statista (2025). Number of Brazilian emigrants in the United States 2023, by consulate [Dataset]. https://www.statista.com/statistics/1396459/brazilian-community-in-united-states/
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    Dataset updated
    Jun 19, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United States, Brazil
    Description

    In 2023, it is estimated that about *********** Brazilians lived in the United States. Of these, ************** lived in the state of New York. The largest community resided in the state of Florida, with around ******* Brazilians divided between the consulate in Miami and the consulate in Orlando. Brazil-U.S. relations In 2024, Brazil and the United States celebrated 200 years of diplomatic relations. The countries cooperate in various sectors, but the economy stands out the most, as the United States was Brazil's second-largest trading partner in 2023. The trade between these countries amounted to over ** billion dollars in that year. This proximity between the countries is appreciated by Brazilian citizens, who mostly have a good image of the North American country. U.S. Brazilian imports The value of U.S. imports of Brazilian origin has grown in recent decades. After a decline in 2020, the value of imports increased by around ***** billion U.S. dollars and, in 2023, the United States imported approximately 39 billion U.S. dollars’ worth of Brazilian goods. This was the highest level of Brazilian imports since 1985. Furthermore, the imports of agricultural products from Brazil totaled nearly *** billion U.S. dollars in 2023.

  20. Brazil: leading cities in Paraná 2020, by number of vegetarians & vegans

    • statista.com
    Updated Jul 25, 2023
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    Statista (2023). Brazil: leading cities in Paraná 2020, by number of vegetarians & vegans [Dataset]. https://www.statista.com/statistics/873922/brazil-vegetarians-vegans-parana/
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    Dataset updated
    Jul 25, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 2020
    Area covered
    Brazil
    Description

    According to an online survey as of march 2020, the majority of self-identified vegetarians, vegans and supporters from the state of Paraná were from the city of Curitiba, with over one thousand people. The second largest population was found in Londrina, with 264 respondents. As of that year, Paraná was the fifth state with the highest amount of self-identified vegetarians, vegans and flexitarians in Brazil.

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Statista (2025). Largest cities in Brazil by population 2024 [Dataset]. https://www.statista.com/statistics/259227/largest-cities-in-brazil/
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Largest cities in Brazil by population 2024

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9 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Jul 9, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
Brazil
Description

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.

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