63 datasets found
  1. Largest cities in Brazil by population 2022

    • statista.com
    Updated Jul 5, 2024
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    Statista (2024). Largest cities in Brazil by population 2022 [Dataset]. https://www.statista.com/statistics/259227/largest-cities-in-brazil/
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    Dataset updated
    Jul 5, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    Brazil
    Description

    In 2022, approximately 11.45 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 11.45 million inhabitants, and Rio de Janeiro with 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 85 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 around 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. Brazil: cities with largest ad spend 2018

    • statista.com
    Updated Jan 6, 2023
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    Statista (2023). Brazil: cities with largest ad spend 2018 [Dataset]. https://www.statista.com/statistics/684535/cities-advertising-spending-brazil/
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    Dataset updated
    Jan 6, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2018
    Area covered
    Brazil
    Description

    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 35 billion Brazilian reals (approximately nine billion U.S. dollars at December 31, 2018 exchange rates) invested in advertising in 2018.

  3. Largest cities in Latin America by population 2024

    • statista.com
    • flwrdeptvarieties.store
    Updated Dec 2, 2024
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    Statista (2024). Largest cities in Latin America by population 2024 [Dataset]. https://www.statista.com/statistics/1374285/largest-metropolitan-areas-in-latam/
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    Dataset updated
    Dec 2, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    LAC, Latin America
    Description

    In 2024, approximately 22.81 million people lived in the São Paulo metropolitan area, making it the biggest in Latin America and the Caribbean and the fifth 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 22.51 million inhabitants.

    Brazil's cities

    Brazil is home to two large metropolises, only counting the population within the city limits, São Paulo had approximately 12.4 million inhabitants, and Rio de Janeiro around 6.8 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 85 percent of inhabitants living in cities.

    Mexico City

    Mexico City's metropolitan area ranks fifth 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 2021, the city registered a crime incidence of 45,336 reported cases for every 100,000 inhabitants and around 32 percent of the population lived under the poverty line.

  4. F

    Geographical Outreach: Number of Branches in 3 Largest Cities, Excluding...

    • fred.stlouisfed.org
    json
    Updated Nov 10, 2016
    + more versions
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    (2016). Geographical Outreach: Number of Branches in 3 Largest Cities, Excluding Headquarters, for Other Financial Intermediaries for Brazil [Dataset]. https://fred.stlouisfed.org/series/BRAFCBMLNUM
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    jsonAvailable download formats
    Dataset updated
    Nov 10, 2016
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Area covered
    Brazil
    Description

    Graph and download economic data for Geographical Outreach: Number of Branches in 3 Largest Cities, Excluding Headquarters, for Other Financial Intermediaries for Brazil (BRAFCBMLNUM) from 2005 to 2015 about intermediaries, branches, Brazil, and financial.

  5. Socio-Spatial Inequalities In Access To Opportunities In Brazilian Cities,...

    • hub.tumidata.org
    • fortaleza.tumidata.org
    url
    Updated Jun 4, 2024
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    TUMI (2024). Socio-Spatial Inequalities In Access To Opportunities In Brazilian Cities, 2019 [Dataset]. https://hub.tumidata.org/dataset/sociospatial_inequalities_in_access_to_opportunities_in_brazilian_cities_2019_fortaleza
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    urlAvailable download formats
    Dataset updated
    Jun 4, 2024
    Dataset provided by
    Tumi Inc.http://www.tumi.com/
    Area covered
    Brazil
    Description

    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.

  6. Hotel occupancy rate in Brazil 2023, by city

    • statista.com
    Updated May 14, 2024
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    Hotel occupancy rate in Brazil 2023, by city [Dataset]. https://www.statista.com/statistics/311984/hotel-performance-rate-in-select-brazilian-cities/
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    Dataset updated
    May 14, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    Brazil
    Description

    The capital of Brazil and Curitiba were the cities with the highest hotel occupancy rate in the country in 2023, surpassing 66 percent. Out of the 15 listed cities, only one had an occupancy rate below 60 percent.

  7. d

    Data from: Nature-based Solutions to Adapt to Local Climate Change:...

    • search.dataone.org
    • dataverse.harvard.edu
    Updated Sep 25, 2024
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    Seleguim, Fabiana Barbi (2024). Nature-based Solutions to Adapt to Local Climate Change: Political Strategies in Brazilian Cities [Dataset]. http://doi.org/10.7910/DVN/L9OLAA
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    Dataset updated
    Sep 25, 2024
    Dataset provided by
    Harvard Dataverse
    Authors
    Seleguim, Fabiana Barbi
    Area covered
    Brazil
    Description

    This article analyzes how Nature-based Solutions are integrated into the urban agenda in Brazilian cities. We sought to understand the co-benefits of those strategies, the main facilitators, their potentials and limitations. This article fills in the gaps of the research on Nature-based Solutions through a political science approach, providing more elements to analyze climate governance in the urban context and is based on the experiences in the Brazilian context. We analyzed two cases in depth, namely the cities of Campinas and Santos. We analyzed official government documents and attended events and meetings that took place between local governments and partner institutions. The results showed that Nature-based Solutions are being integrated into urban planning and development through existing sectoral policies and the regulation of specific policies. Specific institutional arrangements directed towards the challenges of environmental change were important facilitators of the strategies in both cities, driven mainly by the participation of local governments in projects led by cooperation networks of municipalities and international cooperation agencies. We verified a potential for social innovation based on the inclusion of gender issues, the involvement of vulnerable social groups in the planning of actions and a greater understanding of ecosystem services and the co-benefits of NbS, mainly by public managers. The strategies have the potential to be replicated, which generates social learning. There are knowledge gaps regarding the co-benefits of the analyzed strategies, as well as the generated impacts.

  8. f

    Adjusted model for the association between contextual factors and the...

    • plos.figshare.com
    xls
    Updated Mar 27, 2024
    + more versions
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    Luana Resende Cangussú; Jeisyane Acsa Santos Do Nascimento; Igor Rafael Pereira de Barros; Rafael Limeira Cavalcanti; Fábio Galvão Dantas; Diego Neves Araujo; José Felipe Costa da Silva; Thais Sousa Rodrigues Guedes; Matheus Rodrigues Lopes; Johnnatas Mikael Lopes; Marcello Barbosa Otoni Gonçalves Guedes (2024). Adjusted model for the association between contextual factors and the occurrence of COVID-19 cases, stratified by medium and medium-large size of the largest cities in the interior of Northeast Brazil outside the metropolitan regions. [Dataset]. http://doi.org/10.1371/journal.pone.0296837.t003
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    xlsAvailable download formats
    Dataset updated
    Mar 27, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Luana Resende Cangussú; Jeisyane Acsa Santos Do Nascimento; Igor Rafael Pereira de Barros; Rafael Limeira Cavalcanti; Fábio Galvão Dantas; Diego Neves Araujo; José Felipe Costa da Silva; Thais Sousa Rodrigues Guedes; Matheus Rodrigues Lopes; Johnnatas Mikael Lopes; Marcello Barbosa Otoni Gonçalves Guedes
    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

    Adjusted model for the association between contextual factors and the occurrence of COVID-19 cases, stratified by medium and medium-large size of the largest cities in the interior of Northeast Brazil outside the metropolitan regions.

  9. Number of violent deaths of LGBTI+ people Brazil 2023, by city

    • statista.com
    Updated Nov 9, 2024
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    Statista (2024). Number of violent deaths of LGBTI+ people Brazil 2023, by city [Dataset]. https://www.statista.com/statistics/1383941/brazil-number-of-violent-deaths/
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    Dataset updated
    Nov 9, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    Brazil
    Description

    In 2023, regarding violent deaths of LGBTI+ people in Brazilian cities, the highest rates were registered in several of the country's largest cities. São Paulo saw the highest number of violent deaths in the country with 11 cases, followed by Manaus with 8, and Rio de Janeiro, with 7 cases.

  10. B

    Brazil Motorcycle: Population: by State: Southeast: Rio de Janeiro

    • ceicdata.com
    Updated Feb 15, 2025
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    Brazil Motorcycle: Population: by State: Southeast: Rio de Janeiro [Dataset]. https://www.ceicdata.com/en/brazil/motorcycle-population-per-vehicle-by-states/motorcycle-population-by-state-southeast-rio-de-janeiro
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    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 1, 2006 - Dec 1, 2017
    Area covered
    Brazil
    Variables measured
    Number of Vehicles
    Description

    Brazil Motorcycle: Population: by State: Southeast: Rio de Janeiro data was reported at 16,718,956.000 Unit in 2017. This records an increase from the previous number of 16,635,996.000 Unit for 2016. Brazil Motorcycle: Population: by State: Southeast: Rio de Janeiro data is updated yearly, averaging 15,710,554.500 Unit from Dec 2000 (Median) to 2017, with 18 observations. The data reached an all-time high of 16,718,956.000 Unit in 2017 and a record low of 14,391,282.000 Unit in 2000. Brazil Motorcycle: Population: by State: Southeast: Rio de Janeiro data remains active status in CEIC and is reported by Brazilian Association of Motorcycle, Moped, and Bicycle Manufacturers. The data is categorized under Brazil Premium Database’s Automobile Sector – Table BR.RAP006: Motorcycle Population Per Vehicle: by States. Two Wheels: Tricycle, quad biking, Motorcycle and Moped.

  11. Brazil Infrastructure Sector Market Size & Share Analysis - Industry...

    • mordorintelligence.com
    pdf,excel,csv,ppt
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    Mordor Intelligence, Brazil Infrastructure Sector Market Size & Share Analysis - Industry Research Report - Growth Trends [Dataset]. https://www.mordorintelligence.com/industry-reports/infrastructure-sector-in-brazil
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    pdf,excel,csv,pptAvailable download formats
    Dataset authored and provided by
    Mordor Intelligence
    License

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

    Time period covered
    2020 - 2030
    Area covered
    Brazil
    Description

    Brazil's Infrastructure Sector Report is Segmented by Type (Social Infrastructure, Transportation Infrastructure, Extraction Infrastructure, Utilities Infrastructure, Manufacturing Infrastructure) and Key Cities (Sao Paulo, Rio De Janeiro, and Salvador). The Market Size and Forecasts are Provided in Terms of Value (USD) for all the Above Segments.

  12. F

    Geographical Outreach: Number of Branches in 3 Largest Cities, Excluding...

    • fred.stlouisfed.org
    json
    Updated Nov 10, 2016
    + more versions
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    (2016). Geographical Outreach: Number of Branches in 3 Largest Cities, Excluding Headquarters, for Non-deposit Taking Microfinance Institutions (MFIs) for Brazil [Dataset]. https://fred.stlouisfed.org/series/BRAFCBMFNLNUM
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    jsonAvailable download formats
    Dataset updated
    Nov 10, 2016
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Area covered
    Brazil
    Description

    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.

  13. f

    Data from: Framework for urban freight transport analysis in medium-sized...

    • scielo.figshare.com
    • figshare.com
    xls
    Updated Jun 1, 2023
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    Mariana Flora; Henrique Ewbank; José Geraldo Vidal Vieira (2023). Framework for urban freight transport analysis in medium-sized cities [Dataset]. http://doi.org/10.6084/m9.figshare.11350472.v1
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    xlsAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    SciELO journals
    Authors
    Mariana Flora; Henrique Ewbank; José Geraldo Vidal Vieira
    License

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

    Description

    Abstract The urbanization process, especially the diverse aspects regarding size, function, position and growth of cities, significantly affect the Urban Freight Transport (UFT). This paper deals with behaviour of UFT in medium-sized cities. Here we will identify the attributes that characterize the Medium-sized Cities (MC), as well as the influence factors in UFT. In addition, a survey among specialists and public agents of medium-sized cities is presented, about the level of interaction between attributes that characterize MC and the factors that influence UFT. For analysis and validation of the opinion survey is performed non-parametric statistical test, and an analysis of the confidence interval to define the level of interaction between attributes and UFT factors. As a result, we provide a framework that demonstrates the interaction between attributes of MC and the factors that influence UFT. The factors “Projects and measures of local authorities”, and “Infrastructure available to the UFT”, together with the lack of studies related to freight transport (knowledge, innovation and technological advancement) were identified as the main issues that require attention on UFT in MC. This proposal may contribute to the decision makers regarding urban planning and brings a theoretical contribution to future research in UFT planning studies.

  14. M

    Rio de Janeiro, Brazil Metro Area Population 1950-2025

    • macrotrends.net
    csv
    Updated Feb 28, 2025
    + more versions
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    MACROTRENDS (2025). Rio de Janeiro, Brazil Metro Area Population 1950-2025 [Dataset]. https://www.macrotrends.net/global-metrics/cities/20272/rio-de-janeiro/population
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    csvAvailable download formats
    Dataset updated
    Feb 28, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

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

    Time period covered
    Dec 31, 1950 - Mar 11, 2025
    Area covered
    Brazil
    Description

    Chart and table of population level and growth rate for the Rio de Janeiro, Brazil metro area from 1950 to 2025. United Nations population projections are also included through the year 2035.

  15. Short-term holiday rentals in Brazilian cities 2018-2021

    • statista.com
    Updated Jul 5, 2021
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    Statista (2021). Short-term holiday rentals in Brazilian cities 2018-2021 [Dataset]. https://www.statista.com/statistics/1234765/number-short-term-rentals-brazil/
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    Dataset updated
    Jul 5, 2021
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Brazil
    Description

    Rio de Janeiro recorded the largest number of short-term rentals listed on online lodging platforms among four major tourism destinations in Brazil in recent years. In the first quarter of 2021, there were over 20 thousand of these properties available for visitors in Rio. This figure was significantly lower than the number registered before 2020. Between the fourth quarter of 2019 and the second quarter of 2020, the offer of short-term rentals in Rio declined by nearly 35 percent. In the other three cities depicted in the graph, figures remained relatively stable in the same period.

  16. Brazil: number of unemployed people 2020, by region

    • flwrdeptvarieties.store
    • statista.com
    Updated Jul 5, 2024
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    Statista (2024). Brazil: number of unemployed people 2020, by region [Dataset]. https://flwrdeptvarieties.store/?_=%2Fstatistics%2F1184963%2Fbrazil-number-unemployed-population-region%2F%23zUpilBfjadnZ6q5i9BcSHcxNYoVKuimb
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    Dataset updated
    Jul 5, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Sep 20, 2020 - Sep 26, 2020
    Area covered
    Brazil
    Description

    In 2020, the unemployment rate in Brazil has experienced a continual increase, reaching the highest figure in recent years. This result was mostly related to the impact of the COVID-19 pandemic in the country. As of September 26 2020, there were more than 14 million people unemployed in Brazil, out which nearly 45 percent were located in the country's southeast region (where the largest cities are located). The northeast region ranked second, with around 3.9 million people unemployed at that point in time.

  17. M

    Belem, Brazil Metro Area Population 1950-2025

    • macrotrends.net
    csv
    Updated Feb 28, 2025
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    MACROTRENDS (2025). Belem, Brazil Metro Area Population 1950-2025 [Dataset]. https://www.macrotrends.net/global-metrics/cities/20182/belem/population
    Explore at:
    csvAvailable download formats
    Dataset updated
    Feb 28, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

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

    Time period covered
    Dec 31, 1950 - Mar 22, 2025
    Area covered
    Brazil
    Description

    Chart and table of population level and growth rate for the Belem, Brazil metro area from 1950 to 2025. United Nations population projections are also included through the year 2035.

  18. c

    Understanding Risks and Building Enhanced Capabilities in Latin American...

    • datacatalogue.cessda.eu
    Updated Feb 21, 2025
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    Ulbrich, P; Porto De Albuquerque, J (2025). Understanding Risks and Building Enhanced Capabilities in Latin American Cities: Work Package 2 Interview Transcripts, Brazil and Colombia, 2022 [Dataset]. http://doi.org/10.5255/UKDA-SN-856973
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    Dataset updated
    Feb 21, 2025
    Dataset provided by
    University of Glasgow
    Authors
    Ulbrich, P; Porto De Albuquerque, J
    Time period covered
    Mar 4, 2022 - Jun 1, 2022
    Area covered
    Colombia, Brazil
    Variables measured
    Individual
    Measurement technique
    Data was generated with semi-structured interviews of government officials at the national, subnational, and municipal level. Sampling was informed by project team contacts with the relevant institutions.
    Description

    UKRI GCRF project URBE Latam's Work Package 2 aimed to identify windows of opportunity to institutionalise citizen-generated data for disaster risk governance in the case study countries Brazil and Colombia.

    The interview partners were selected from the project teams' existing contacts at the national (Colombia, Brazil), subnational (Rio de Janeiro state, Antioquia department) and municipal (Niterói, Medellín) levels and included representatives from disaster risk agencies, planning and statistics offices.

    The interviews were conducted in Brazilian Portuguese with the Brazilian stakeholders and in Spanish with the Colombian stakeholders. The interviews aimed to understand the extent to which disaster risk reduction governance processes are equitable. The semi-structured interview schedule started with conceptual definitions, such as questions regarding the interview partners' understandings of "resilience", "risk", "vulnerability", followed by questions regarding the indicators and data to measure these and any related concepts, including the roles of the various data actors, such as questions relating to usage, representativeness, and data quality. In response to the questions, interview partners suggested the following:

    • while "resilience" is an important concept, it is not used in disaster risk management and generally understood as
      communities' experiences of and responses to a disaster;

    • the legal framework establishes hierarchical relations in risk governance, data sharing across the governance scale and policy happens primarily at the response stage of the disaster risk cycle.

    • and that work with communities for prevention is the primary responsibility of municipal "social" teams.

      URBE Latam addresses the implementation gap between sustainable development and equitable resilience. It will do so by using a transdisciplinary research approach aimed at empowering residents of disaster-prone urban poor neighbourhoods, which will underpin the co-production of enhanced, context-specific understandings of local risks and the integration of the resulting data into decision-making procedures in disaster risk reduction and sustainable development monitoring.

    The project is conducted by a highly skilled multi-disciplinary research team (including social sciences, engineering and physical sciences) and adopts a dialogic co-production approach to citizen-generated data which relies upon well-established partnerships with community-based initiatives for local development, education and disaster risk reduction in Rio de Janeiro and Medellin, as well as with governmental agencies involved in disaster risk reduction and local planning and development.

    URBE Latam proceeds in four integrated components that seek an enhanced understanding of risks, vulnerabilities and local capabilities in disaster-prone urban areas: first it is centred on the engagement of citizens to generate data to expand understandings of risks at the neighbourhood level; second, citizens engagement in risk will be pursued alongside an analysis of socio-spatial inequalities in resilience and development indicators and policies at city and national level; third, this will lead to the recalibration of environmental risk mapping with citizen-generated data; fourth, these components are articulated and integrated within a framework to facilitate dialogic transformations across the different levels and stakeholders involved.

    The process of advancing these outputs will further enable capacity development in local communities and the governments of Rio de Janeiro and Medellin; a process which will be augmented by improving the awareness of stakeholders in other Latin American cities and countries through broader dissemination. Insights from collaboratively produced citizen-generated data will be integrated into the practices of disaster risk management and development monitoring (e.g. SDG reporting) in collaboration with international policymaking agencies, thus enabling transformations towards more equitable disaster risk reduction and sustainable development. As an overarching outcome, the project will enable the transformation of practices, improve knowledge among a diverse range of stakeholders and enhance capacity to promote equitable resilience.

  19. f

    Assessing the HIV-1 Epidemic in Brazilian Drug Users: A Molecular...

    • plos.figshare.com
    tiff
    Updated Jun 1, 2023
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    Monick Lindenmeyer Guimarães; Bianca Cristina Leires Marques; Neilane Bertoni; Sylvia Lopes Maia Teixeira; Mariza Gonçalves Morgado; Francisco Inácio Bastos (2023). Assessing the HIV-1 Epidemic in Brazilian Drug Users: A Molecular Epidemiology Approach [Dataset]. http://doi.org/10.1371/journal.pone.0141372
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    tiffAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Monick Lindenmeyer Guimarães; Bianca Cristina Leires Marques; Neilane Bertoni; Sylvia Lopes Maia Teixeira; Mariza Gonçalves Morgado; Francisco Inácio Bastos
    License

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

    Area covered
    Brazil
    Description

    Person who inject illicit substances have an important role in HIV-1 blood and sexual transmission and together with person who uses heavy non-injecting drugs may have less than optimal adherence to anti-retroviral treatment and eventually could transmit resistant HIV variants. Unfortunately, molecular biology data on such key population remain fragmentary in most low and middle-income countries. The aim of the present study was to assess HIV infection rates, evaluate HIV-1 genetic diversity, drug resistance, and to identify HIV transmission clusters in heavy drug users (DUs). For this purpose, DUs were recruited in the context of a Respondent-Driven Sampling (RDS) study in different Brazilian cities during 2009. Overall, 2,812 individuals were tested for HIV, and 168 (6%) of them were positive, of which 19 (11.3%) were classified as recent seroconverters, corresponding to an estimated incidence rate of 1.58%/year (95% CI 0.92–2.43%). Neighbor joining phylogenetic trees from env and pol regions and bootscan analyses were employed to subtype the virus from132 HIV-1-infected individuals. HIV-1 subtype B was prevalent in most of the cities under analysis, followed by BF recombinants (9%-35%). HIV-1 subtype C was the most prevalent in Curitiba (46%) and Itajaí (86%) and was also detected in Brasília (9%) and Campo Grande (20%). Pure HIV-1F infections were detected in Rio de Janeiro (9%), Recife (6%), Salvador (6%) and Brasília (9%). Clusters of HIV transmission were assessed by Maximum likelihood analyses and were cross-compared with the RDS network structure. Drug resistance mutations were verified in 12.2% of DUs. Our findings reinforce the importance of the permanent HIV-1 surveillance in distinct Brazilian cities due to viral resistance and increasing subtype heterogeneity all over Brazil, with relevant implications in terms of treatment monitoring, prophylaxis and vaccine development.

  20. COVID-19: road traffic change in Brazil 2020

    • statista.com
    Updated Mar 20, 2023
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    Statista (2023). COVID-19: road traffic change in Brazil 2020 [Dataset]. https://www.statista.com/statistics/1108315/coronavirus-impact-vehicle-traffic-brazil-cities/
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    Dataset updated
    Mar 20, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 17, 2020 - Mar 30, 2020
    Area covered
    Brazil
    Description

    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.

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Statista (2024). Largest cities in Brazil by population 2022 [Dataset]. https://www.statista.com/statistics/259227/largest-cities-in-brazil/
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Largest cities in Brazil by population 2022

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9 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Jul 5, 2024
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
2022
Area covered
Brazil
Description

In 2022, approximately 11.45 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 11.45 million inhabitants, and Rio de Janeiro with 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 85 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 around 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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