25 datasets found
  1. Poverty headcount ratio at 3.65 U.S. dollars a day in Brazil 2001-2022

    • statista.com
    • flwrdeptvarieties.store
    Updated Dec 2, 2024
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    Statista (2024). Poverty headcount ratio at 3.65 U.S. dollars a day in Brazil 2001-2022 [Dataset]. https://www.statista.com/statistics/788897/poverty-rates-brazil/
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    Dataset updated
    Dec 2, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Brazil
    Description

    In 2022, the headcount poverty rate at 3.65 U.S. dollars per day in Brazil was 8.42 percent, meaning the share of the Brazilian population living on less than 3.65 dollars per day. The poverty rate increased steadily from 2014 to 2019 when this percentage was 10.75.

  2. Poverty rate in Brazil 2012-2023

    • statista.com
    Updated Oct 25, 2024
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    Statista (2024). Poverty rate in Brazil 2012-2023 [Dataset]. https://www.statista.com/statistics/1499396/poverty-rate-in-brazil/
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    Dataset updated
    Oct 25, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Brazil
    Description

    In 2023, 27.5 percent of Brazil's population was below the poverty line, which was set at 664.02 Brazilian reals. In 2021, the poverty rate peaked at 36.7 percent.

  3. Poverty rate in Brazil 2023, by state

    • statista.com
    Updated Oct 25, 2024
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    Statista (2024). Poverty rate in Brazil 2023, by state [Dataset]. https://www.statista.com/statistics/1499397/poverty-rate-in-brazil-by-state/
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    Dataset updated
    Oct 25, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    Brazil
    Description

    In 2023, the state of Maranhão had the highest poverty rate in Brazil, with 51.6 percent of the population living in poverty. Santa Catarina, on the other hand, had the lowest poverty rate at 11.6 percent.

  4. Extreme poverty rate in Brazil 2023, by state

    • statista.com
    Updated Oct 25, 2024
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    Statista (2024). Extreme poverty rate in Brazil 2023, by state [Dataset]. https://www.statista.com/statistics/1499415/extreme-poverty-rate-in-brazil-by-state/
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    Dataset updated
    Oct 25, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    Brazil
    Description

    In 2023, the state of Acre had the highest extreme poverty rate in Brazil, with over 13 percent of the population living in extreme poverty. Rio Grande do Sul had the lowest extreme poverty rate at 1.3 percent.

  5. B

    Brazil BR: Poverty Headcount Ratio at $1.90 a Day: 2011 PPP: % of Population...

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). Brazil BR: Poverty Headcount Ratio at $1.90 a Day: 2011 PPP: % of Population [Dataset]. https://www.ceicdata.com/en/brazil/poverty/br-poverty-headcount-ratio-at-190-a-day-2011-ppp--of-population
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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, 2008 - Dec 1, 2020
    Area covered
    Brazil
    Description

    Brazil BR: Poverty Headcount Ratio at $1.90 a Day: 2011 PPP: % of Population data was reported at 1.700 % in 2020. This records a decrease from the previous number of 4.900 % for 2019. Brazil BR: Poverty Headcount Ratio at $1.90 a Day: 2011 PPP: % of Population data is updated yearly, averaging 10.750 % from Dec 1981 (Median) to 2020, with 36 observations. The data reached an all-time high of 27.400 % in 1983 and a record low of 1.700 % in 2020. Brazil BR: Poverty Headcount Ratio at $1.90 a Day: 2011 PPP: % of Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Brazil – Table BR.World Bank.WDI: Social: Poverty and Inequality. Poverty headcount ratio at $1.90 a day is the percentage of the population living on less than $1.90 a day at 2011 international prices. As a result of revisions in PPP exchange rates, poverty rates for individual countries cannot be compared with poverty rates reported in earlier editions.; ; World Bank, Poverty and Inequality Platform. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are mostly from the Luxembourg Income Study database. For more information and methodology, please see http://pip.worldbank.org.; ; The World Bank’s internationally comparable poverty monitoring database now draws on income or detailed consumption data from around 2000 household surveys across 169 countries. See the Poverty and Inequality Platform (PIP) for details (www.pip.worldbank.org).

  6. Percentage of indigenous people living under the poverty line in Brazil...

    • statista.com
    Updated Jan 13, 2025
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    Statista (2025). Percentage of indigenous people living under the poverty line in Brazil 2005-2023 [Dataset]. https://www.statista.com/statistics/1288787/share-indigenous-population-living-poverty-brazil/
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    Dataset updated
    Jan 13, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Brazil
    Description

    In 2023, the share of indigenous population in Brazil that had an average per capita income below the poverty line reached 30 percent. In comparison to the previous year, this represents a decrease of 3.9 percentage points. Overall, in Latin America in 2022, Colombia had the highest share of indigenous population living in extreme poverty.

  7. Population living in poverty in Brazil 2001-2023, by employment status

    • statista.com
    Updated Nov 20, 2024
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    Population living in poverty in Brazil 2001-2023, by employment status [Dataset]. https://www.statista.com/statistics/1344294/share-population-living-poverty-by-employment-status-brazil/
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    Dataset updated
    Nov 20, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Brazil
    Description

    Regardless of the employment status, the percentage of the population of Brazil whose average per capita income was below the poverty line experienced a downward trend between 2001 and 2014. In the case of the unemployed population, the share fell from 51.6 to 31.6 percent. However, the percentage of people in unemployment living under the poverty line has been oscillating since that year, and in 2023 the share stood at 38 percent. Furthermore, less than six percent of employees in Brazil were living under the poverty line that year.

  8. f

    Data from: Social Policies for Confronting Poverty in Latin America: a...

    • scielo.figshare.com
    png
    Updated Jun 8, 2023
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    Lauro Mattei (2023). Social Policies for Confronting Poverty in Latin America: a comparative analysis of Brazil and Argentina [Dataset]. http://doi.org/10.6084/m9.figshare.14284963.v1
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    pngAvailable download formats
    Dataset updated
    Jun 8, 2023
    Dataset provided by
    SciELO journals
    Authors
    Lauro Mattei
    License

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

    Area covered
    Argentina, Americas, Latin America, Brazil
    Description

    Abstract Since the 1990s various Latin American countries have adopted public polices to reduce poverty and social exclusion, highlighted by the income transfer programs that compose the central core of government actions in various countries. The objective of this study is to conduct a comparative analysis of the evolution of poverty in Brazil and Argentina in the early 21st century, as well as the public policies of the time. The analysis focused on secondary data about the two themes found in both countries. It concludes that these programs contribute decisively to reducing the levels of poverty in the two countries, yet emphasizes that the eradication of poverty requires greater articulation between the various social policies and emphasizes the need for the construction and consolidation of a broad social protection system.

  9. Population living in extreme poverty in Brazil 2022-2023, by ethnicity

    • statista.com
    Updated Oct 22, 2024
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    Statista (2024). Population living in extreme poverty in Brazil 2022-2023, by ethnicity [Dataset]. https://www.statista.com/statistics/1499248/share-population-living-extreme-poverty-by-ethnicity-brazil/
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    Dataset updated
    Oct 22, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Brazil
    Description

    In 2023, the prevalence of extreme poverty among black men and women in Brazil was higher than that observed in other demographic groups. In particular, the rate of extreme poverty among black men reached two percent, which was the highest among all demographic groups.

  10. Population living in extreme poverty in Brazil 2022-2023, by region

    • statista.com
    Updated Oct 22, 2024
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    Statista (2024). Population living in extreme poverty in Brazil 2022-2023, by region [Dataset]. https://www.statista.com/statistics/1499219/share-population-living-extreme-poverty-by-region-brazil/
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    Dataset updated
    Oct 22, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Brazil
    Description

    In 2023, the Northeast region of Brazil remained the region with the highest rate of extreme poverty in the country. However, compared to 2022, the rate decreased by around two percent.

  11. Living Standards Measurement Study Survey 1996-1997 - Brazil

    • microdata.fao.org
    Updated Nov 8, 2022
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    Brazilian Geographical and Statistical institute (IBGE) (2022). Living Standards Measurement Study Survey 1996-1997 - Brazil [Dataset]. https://microdata.fao.org/index.php/catalog/1525
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    Dataset updated
    Nov 8, 2022
    Dataset provided by
    Brazilian Institute of Geography and Statisticshttps://www.ibge.gov.br/
    Authors
    Brazilian Geographical and Statistical institute (IBGE)
    Time period covered
    1996 - 1997
    Area covered
    Brazil
    Description

    Abstract

    The objective of the research is to provide adequate information for planning, monitoring and analysis of economic policies and social programs in relation to their impacts on the conditions of home life, especially those of the poorest populations. Substantially, the survey provides an overview of the well-being of household residents and allows the study of its determinants. Starting from the premise that quantifying and situating a problem is not enough, the research seeks explanations that allow indicating solutions. For example, knowing how many poor people there are, how and where they live and what they do is only part of the investigation. In order to produce information that can support more effective solutions, a detailed survey of the causes and consequences of poverty is necessary. The same principle applies to other areas of social welfare. In this way, the survey questionnaire is designed to provide a set of integrated information with the aim of:

    · Measure the distribution of well-being and the level of poverty, mainly in areas where subsistence agriculture, the informal economy and seasonal employment predominate · Describe the patterns of access and use of public services - education, health, basic sanitation, etc. · Understand how households react to economic conditions and the impacts of government measures · Allow complex analyses of the relationships between the various aspects of social well-being, such as the impact of health on employment, the pattern of spending on nutritional levels of residents, etc.

    The research, however, does not address the various topics investigated with the same depth as the information collected in topical research. At the same time, due to having a small sample, the accuracy of the results is less than that of topical research. However, due to its thematic scope, the research allows a good multidimensional summary of well-being and the study of the interactions between the various factors.

    Geographic coverage

    National

    Analysis unit

    Households

    Kind of data

    Sample survey data [ssd]

    Sampling procedure

    (a) THE SAMPLE PLANNING

    The sample design of the PPV - Research on Living Standards - was discussed with World Bank technicians and the sample size was determined according to the budget available for the research. As a pilot research, it was chosen to be carried out only in the Northeast and Southeast regions of the country, considering 10 geographic strata, namely: Metropolitan Region of Fortaleza, Metropolitan Region of Recife, Metropolitan Region of Salvador, remainder of the urban area of the Northeast, remainder of rural area of the Northeast, Metropolitan Region of Belo Horizonte, Metropolitan Region of Rio de Janeiro, Metropolitan Region of São Paulo, remainder of the urban area of the Southeast and remainder of the rural area of the Southeast. As in other household surveys conducted by IBGE, a design with two stages of selection was chosen, with stratification of the primary units and selection proportional to a size measure and random selection of the second stage units. The primary unit is the sector of the geographical base of the 1991 Demographic Census and the second stage unit is the household.

    (b) SAMPLE SIZE The sample size for each geographic stratum was fixed at 480 households. In each geographic stratum, the number of sectors to be selected was set at 60 and 8 households in each sector, with the exception of strata that correspond to the rest of the rural area of each Region, where the number of sectors was fixed at 30 and 16 the number of households to be selected by sector, due to the difficulty of access to these sectors, which would imply increase costs. The size of the fixed sample was defended by World Bank technicians due to the experience in other countries where the research was or is being conducted, the need to produce information as quickly as possible and because the research is not intended to produce tabulation with crossings of variables, as occurs with the information from the National Household Sample Survey - PNAD, but to provide trend or variation indicators at very aggregate levels.

    (c) THE DEFINITION OF STATISTICAL STRATA

    The final sample size of households was fixed according to the cost, more specifically the financial resources available. As a result, the sample size of sectors and the number of households to be selected by sector were also fixed, namely: - 60 sectors and 8 households per sector, in urban geographic strata and metropolitan regions - 30 sectors and 16 households per sector, in rural geographic strata

    Before the allocation in the income strata, the total sample in the 10 geographic strata had 540 sectors and 4,800 households. Proportional allocation was used, based on the number of occupied permanent private households, obtained by Census 91.

    Mode of data collection

    Face-to-face [f2f]

  12. Poverty headcount ratio in Brazil 2015

    • statista.com
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    Statista, Poverty headcount ratio in Brazil 2015 [Dataset]. https://www.statista.com/statistics/818319/poverty-headcount-ratio-in-brazil/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2005 - 2015
    Area covered
    Brazil
    Description

    This statistic shows the poverty headcount ratio at national poverty lines in Brazil from 2005 to 2015. In 2015, the poverty headcount ratio at national poverty lines in Brazil amounted to 8.7 percent of the population.

  13. Consumer Trends Analysis: Understanding Consumer Trends and Drivers of...

    • store.globaldata.com
    Updated Jul 1, 2014
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    GlobalData UK Ltd. (2014). Consumer Trends Analysis: Understanding Consumer Trends and Drivers of Behavior in the Brazilian Ice Cream Market [Dataset]. https://store.globaldata.com/report/consumer-trends-analysis-understanding-consumer-trends-and-drivers-of-behavior-in-the-brazilian-ice-cream-market/
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    Dataset updated
    Jul 1, 2014
    Dataset provided by
    GlobalDatahttps://www.globaldata.com/
    Authors
    GlobalData UK Ltd.
    License

    https://www.globaldata.com/privacy-policy/https://www.globaldata.com/privacy-policy/

    Time period covered
    2014 - 2018
    Area covered
    Brazil
    Description

    Consumers aged 0-15 are the main consumer group for Ice Cream in Brazil Brazil’s Ice Cream market is the fourth fastest growing by volume globally Consumption of Ice Cream is largely driven by the desire for products to accompany moments of fun and relaxation Despite the growing affluence of the Brazilian population and declining poverty levels, value for money remains important Read More

  14. Population living in extreme poverty in Brazil 2001-2023, by employment...

    • statista.com
    Updated Nov 20, 2024
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    Statista (2024). Population living in extreme poverty in Brazil 2001-2023, by employment status [Dataset]. https://www.statista.com/statistics/1344301/share-population-living-extreme-poverty-by-employment-status-brazil/
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    Dataset updated
    Nov 20, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Brazil
    Description

    Overall, the percentage of the Brazilian population whose average per capita income was below the extreme poverty line experienced a downward trend between 2001 and 2020. In the case of the unemployed and inactive population, the share fluctuates. All statuses peak in 2021, being for the unemployed sector with the highest difference with 21.9 in share increase among them.

  15. w

    World Bank Country Survey 2013 - Afghanistan, Angola, Albania, Argentina,...

    • microdata.worldbank.org
    • catalog.ihsn.org
    Updated Apr 26, 2021
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    Public Opinion Research Group (2021). World Bank Country Survey 2013 - Afghanistan, Angola, Albania, Argentina, Armenia, Azerbaijan, Burundi, Benin, Burkina Faso, Bulgaria, Brazil, Bhutan, Botswana, Central African R... [Dataset]. https://microdata.worldbank.org/index.php/catalog/1923
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    Dataset updated
    Apr 26, 2021
    Dataset authored and provided by
    Public Opinion Research Group
    Time period covered
    2012 - 2013
    Area covered
    Benin, Burkina Faso, Bulgaria, Afghanistan, Angola, Azerbaijan, Armenia, Albania, Botswana, Brazil
    Description

    Abstract

    In an environment where the Bank must demonstrate its impact and value, it is critical that the institution collects and tracks empirical data on how its work is perceived by clients, partners and other stakeholders in our client countries.

    In FY 2013, the Country Opinion Survey Program was scaled up in order to: - Annually assess perceptions of the World Bank among key stakeholders in a representative sample of client countries; - Track these opinions over time, representative of: regions, stakeholders, country lending levels, country income/size levels, etc. - Inform strategy and decision making: apply findings to challenges to ensure real time response at several levels: corporate, regional, country - Obtain systematic feedback from stakeholders regarding: - The general environment in their country; - Value of the World Bank in their country; - World Bank's presence (work, relationships, etc.); - World Bank's future role in their country. - Create a feedback loop that allows data to be shared with stakeholders.

    Geographic coverage

    The data from the 41 country surveys were combined in this review. Although individual countries are not specified, each country was designated as part of a particular region: Africa (AFR), East Asia (EAP), Europe/Central Asia (ECA), Latin America (LAC), Middle East/North Africa (MNA), and South Asia (SAR).

    Analysis unit

    Client Country

    Kind of data

    Sample survey data [ssd]

    Sampling procedure

    In FY 2013 (July 2012 to July 1, 2013), 26,014 stakeholders of the World Bank in 41 different countries were invited to provide their opinions on the Bank's assistance to the country by participating in a country survey. Participants in these surveys were drawn from among senior government officials (from the office of the Prime Minister, President, Minister, Parliamentarian; i.e., elected officials), staff of ministries (employees of ministries, ministerial departments, or implementation agencies, and government officials; i.e., non-elected government officials, and those attached to agencies implementing Bank-supported projects), consultants/contractors working on World Bank-supported projects/programs; project management units (PMUs) overseeing implementation of a project; local government officials or staff, bilateral and multilateral agency staff, private sector organizations, private foundations; the financial sector/private banks; non-government organizations (NGOs, including CBOs), the media, independent government institutions (e.g., regulatory agencies, central banks), trade unions, faith-based groups, members of academia or research institutes, and members of the judiciary.

    Mode of data collection

    Mail Questionnaire [mail]

    Research instrument

    The Questionnaire consists of the following sections:

    A. General Issues facing a country: Respondents were asked to indicate whether the country is headed in the right direction, what they thought were the top three most important development priorities, and which areas would contribute most to reducing poverty and generating economic growth in the country.

    B. Overall Attitudes toward the World Bank: Respondents were asked to rate their familiarity with the World Bank, the Bank's effectiveness in the country, the extent to which the Bank meets the country's needs for knowledge services and financial instruments, and the extent to which the Bank should seek or does seek to influence the global development agenda. Respondents were also asked to rate their agreement with various statements regarding the Bank's work and the extent to which the Bank is an effective development partner. Furthermore, respondents were asked to indicate the sectoral areas on which it would be most productive for the Bank to focus its resources, the Bank's greatest values and greatest weaknesses in its work, the most and least effective instruments in helping to reduce poverty in the country, with which groups the Bank should collaborate more, and to what reasons respondents attributed failed or slow reform efforts.

    C. World Bank Effectiveness and Results: Respondents were asked to rate the extent to which the Bank's work helps achieve sustainable development results in the country, and the Bank's level of effectiveness across thirty-five development areas, such as economic growth, public sector governance, basic infrastructure, social protection, and others.

    D. The World Bank's Knowledge: Respondents were asked to indicate the areas on which the Bank should focus its research efforts, and to rate the effectiveness and quality of the Bank's knowledge/research, including how significant of a contribution it makes to development results, its technical quality, and the Bank's effectiveness at providing linkage to non-Bank expertise.

    E. Working with the World Bank: Respondents were asked to rate their level of agreement with a series of statements regarding working with the Bank, such as the World Bank's "Safeguard Policy" requirements being reasonable, the Bank imposing reasonable conditions on its lending, disbursing funds promptly, and increasing the country's institutional capacity.

    F. The Future Role of the World Bank in the country: Respondents were asked to rate how significant a role the Bank should play in the country's development in the near future, and to indicate what the Bank should do to make itself of greater value in the country.

    G. Communication and Information Sharing: Respondents were asked to indicate where they get information about economic and social development issues, how they prefer to receive information from the Bank, their access to the Internet, and their usage and evaluation of the Bank's websites. Respondents were asked about their awareness of the Bank's Access to Information policy, past information requests from the Bank, and their level of agreement that they use more data from the World Bank as a result of the Bank's Open Data policy. Respondents were also asked to indicate their level of agreement that they know how to find information from the Bank and that the Bank is responsive to information requests.

    H. Background Information: Respondents were asked to indicate their current position, specialization, whether they professionally collaborate with the World Bank, their exposure to the Bank in the country, and their geographic location.

    Response rate

    A total of 9,279 stakeholders (36% response rate) participated and are part of this review.

  16. 巴西 人均消费或收入调查:总人口:年平均增长率

    • ceicdata.com
    + more versions
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    CEICdata.com, 巴西 人均消费或收入调查:总人口:年平均增长率 [Dataset]. https://www.ceicdata.com/zh-hans/brazil/social-poverty-and-inequality/br-survey-mean-consumption-or-income-per-capita-total-population-annualized-average-growth-rate
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    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, 2022
    Area covered
    巴西
    Description

    。人均消费或收入调查:总人口:年平均增长率数据按年更新,12-01-2022至12-01-2022期间平均值为0.990%,共1份观测结果。该数据的历史最高值出现于12-01-2022,达0.990%,而历史最低值则出现于12-01-2022,为0.990%。CEIC提供的人均消费或收入调查:总人口:年平均增长率数据处于定期更新的状态,数据来源于World Bank,数据归类于全球数据库的巴西 – Table BR.World Bank.WDI: Social: Poverty and Inequality。

  17. f

    Distribution of sociodemographic determinants of tuberculosis among people...

    • plos.figshare.com
    xls
    Updated Jun 1, 2023
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    Barbara Reis-Santos; Priya Shete; Adelmo Bertolde; Carolina M. Sales; Mauro N. Sanchez; Denise Arakaki-Sanchez; Kleydson B. Andrade; M. Gabriela M. Gomes; Delia Boccia; Christian Lienhardt; Ethel L. Maciel (2023). Distribution of sociodemographic determinants of tuberculosis among people from the Brazilian Notifiable Disease Information System database (SINAN), 2015. [Dataset]. http://doi.org/10.1371/journal.pone.0212617.t001
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    xlsAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Barbara Reis-Santos; Priya Shete; Adelmo Bertolde; Carolina M. Sales; Mauro N. Sanchez; Denise Arakaki-Sanchez; Kleydson B. Andrade; M. Gabriela M. Gomes; Delia Boccia; Christian Lienhardt; Ethel L. Maciel
    License

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

    Description

    Distribution of sociodemographic determinants of tuberculosis among people from the Brazilian Notifiable Disease Information System database (SINAN), 2015.

  18. Average monthly family benefit in Brazil 2003-2024

    • statista.com
    Updated Jan 14, 2025
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    Statista (2025). Average monthly family benefit in Brazil 2003-2024 [Dataset]. https://www.statista.com/statistics/1500029/average-monthly-value-of-the-bolsa-familia-subsidy-brazil/
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    Dataset updated
    Jan 14, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Brazil
    Description

    After 2021, the amount of subsidy granted to Bolsa Familia families almost tripled. In December 2022, the amount was 383 reais higher than in the same period of the previous year. In 2024, the amount increased to 678 reais per month.

  19. Brazil: wealth inequality based on income concentration 2013-2022

    • statista.com
    Updated Nov 4, 2024
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    Statista (2024). Brazil: wealth inequality based on income concentration 2013-2022 [Dataset]. https://www.statista.com/statistics/1075207/brazil-income-inequality/
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    Dataset updated
    Nov 4, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Brazil
    Description

    The percentage of income held by the richest 20 percent of the population in Brazil saw no significant changes in 2022 in comparison to the previous year 2021 and remained at around 56.9 percent. In comparison to 2021, the percentage of income held decreased not significantly by 0.6 percentage points (-1.04 percent). These figures refer to the share of total income held by the highest 20 percent of earners in a given population.Find more statistics on other topics about Brazil with key insights such as poverty headcount ratio at national poverty lines.

  20. Brazilians' main concerns in 2024

    • statista.com
    Updated Jul 30, 2024
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    Statista (2024). Brazilians' main concerns in 2024 [Dataset]. https://www.statista.com/statistics/1319448/biggest-worries-in-brazil/
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    Dataset updated
    Jul 30, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jun 21, 2024 - Jul 4, 2024
    Area covered
    Brazil
    Description

    As of July 2024, a survey indicated that Brazilians' were mainly concerned about poverty and social inequality. According to the latest data, more than 11 percent of the population in Brazil lived on less than 3.65 U.S. dollars per day, while the top ten percent held approximately 80 percent of the national wealth. The second most common worry was crime and violence, also, with 39 percent of respondents claiming to be concerned about it.

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Statista (2024). Poverty headcount ratio at 3.65 U.S. dollars a day in Brazil 2001-2022 [Dataset]. https://www.statista.com/statistics/788897/poverty-rates-brazil/
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Poverty headcount ratio at 3.65 U.S. dollars a day in Brazil 2001-2022

Explore at:
Dataset updated
Dec 2, 2024
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
Brazil
Description

In 2022, the headcount poverty rate at 3.65 U.S. dollars per day in Brazil was 8.42 percent, meaning the share of the Brazilian population living on less than 3.65 dollars per day. The poverty rate increased steadily from 2014 to 2019 when this percentage was 10.75.

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