4 datasets found
  1. N

    Age-wise distribution of Brazil, IN household incomes: Comparative analysis...

    • neilsberg.com
    csv, json
    Updated Jan 9, 2024
    + more versions
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    Neilsberg Research (2024). Age-wise distribution of Brazil, IN household incomes: Comparative analysis across 16 income brackets [Dataset]. https://www.neilsberg.com/research/datasets/855ac15f-8dec-11ee-9302-3860777c1fe6/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Jan 9, 2024
    Dataset authored and provided by
    Neilsberg Research
    License

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

    Area covered
    Brazil
    Variables measured
    Number of households with income $200,000 or more, Number of households with income less than $10,000, Number of households with income between $15,000 - $19,999, Number of households with income between $20,000 - $24,999, Number of households with income between $25,000 - $29,999, Number of households with income between $30,000 - $34,999, Number of households with income between $35,000 - $39,999, Number of households with income between $40,000 - $44,999, Number of households with income between $45,000 - $49,999, Number of households with income between $50,000 - $59,999, and 6 more
    Measurement technique
    The data presented in this dataset is derived from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates. It delineates income distributions across 16 income brackets (mentioned above) following an initial analysis and categorization. Using this dataset, you can find out the total number of households within a specific income bracket along with how many households with that income bracket for each of the 4 age cohorts (Under 25 years, 25-44 years, 45-64 years and 65 years and over). For additional information about these estimations, please contact us via email at research@neilsberg.com
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset presents the the household distribution across 16 income brackets among four distinct age groups in Brazil: Under 25 years, 25-44 years, 45-64 years, and over 65 years. The dataset highlights the variation in household income, offering valuable insights into economic trends and disparities within different age categories, aiding in data analysis and decision-making..

    Key observations

    • Upon closer examination of the distribution of households among age brackets, it reveals that there are 149(4.48%) households where the householder is under 25 years old, 1,000(30.05%) households with a householder aged between 25 and 44 years, 1,136(34.13%) households with a householder aged between 45 and 64 years, and 1,043(31.34%) households where the householder is over 65 years old.
    • The age group of 25 to 44 years exhibits the highest median household income, while the largest number of households falls within the 45 to 64 years bracket. This distribution hints at economic disparities within the city of Brazil, showcasing varying income levels among different age demographics.
    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

    Income brackets:

    • Less than $10,000
    • $10,000 to $14,999
    • $15,000 to $19,999
    • $20,000 to $24,999
    • $25,000 to $29,999
    • $30,000 to $34,999
    • $35,000 to $39,999
    • $40,000 to $44,999
    • $45,000 to $49,999
    • $50,000 to $59,999
    • $60,000 to $74,999
    • $75,000 to $99,999
    • $100,000 to $124,999
    • $125,000 to $149,999
    • $150,000 to $199,999
    • $200,000 or more

    Variables / Data Columns

    • Household Income: This column showcases 16 income brackets ranging from Under $10,000 to $200,000+ ( As mentioned above).
    • Under 25 years: The count of households led by a head of household under 25 years old with income within a specified income bracket.
    • 25 to 44 years: The count of households led by a head of household 25 to 44 years old with income within a specified income bracket.
    • 45 to 64 years: The count of households led by a head of household 45 to 64 years old with income within a specified income bracket.
    • 65 years and over: The count of households led by a head of household 65 years and over old with income within a specified income bracket.

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

    Recommended for further research

    This dataset is a part of the main dataset for Brazil median household income by age. You can refer the same here

  2. Data from: Inadequacies of Sphygmomanometers Used in Emergency Care Services...

    • search.datacite.org
    • scielo.figshare.com
    • +1more
    Updated Mar 27, 2021
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    Marcus Vinícius Bolívar Malachias; Isabela Viana De Paiva; Rafael Da Mota Mariano; Rodrigo Viana De Paiva (2021). Inadequacies of Sphygmomanometers Used in Emergency Care Services in a Large Capital City in Brazil [Dataset]. http://doi.org/10.6084/m9.figshare.6272621
    Explore at:
    Dataset updated
    Mar 27, 2021
    Dataset provided by
    DataCitehttps://www.datacite.org/
    SciELO journals
    Authors
    Marcus Vinícius Bolívar Malachias; Isabela Viana De Paiva; Rafael Da Mota Mariano; Rodrigo Viana De Paiva
    License

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

    Description

    Abstract Background: Hypertension is the main risk factor for cardiovascular diseases. Technical quality of sphygmomanometers is a prerequisite for the correct measurement of arterial pressure. Objectives: To evaluate sphygmomanometers available in emergency services in the city of Belo Horizonte, Brazil. Methods: We performed a cross-sectional, observational, non-interventional study to evaluate characteristics of the sphygmomanometers available in adult emergency services of public and private hospitals in the city of Belo Horizonte, Brazil. We evaluated 337 sphygmomanometers of 25 hospitals - 15 (of 16) public hospitals and 10 (of 12) private hospitals. Results: Twenty-six percent (88/337) of devices were considered inadequate regarding the INMETRO (National Institute of Metrology, Quality and Technology) standards, 39.2% (132/337) for calibration dates, and 54% (188/337) for the mismatching between cuff's and device's brands. In 13 of 25 hospitals (52%), there were no spare cuffs in different sizes for different arm circumferences. Higher adequacy was found for aneroid and mercury sphygmomanometers used in private hospitals (p = 0.038 and p < 0.001, respectively) and electronic devices used in public hospitals (p < 0.001) compared with others. Conclusion: Seventy-eight percent of sphygmomanometers available in emergency services had technical inadequacies, and half of these services had no spare cuffs in different sizes available. These findings serve as a warning of the conditions of the equipment used in healthcare services provided to the general population in Brazil.

  3. f

    Dataset.

    • plos.figshare.com
    bin
    Updated Nov 6, 2023
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    Fabiana Almerinda G. Palma; Jonatas Fernandes Araújo Sodré; Nivison Nery Jr; Luciana Joaquim Oliveira; Joe Brown; Anu Bourgeois; Claire A. Spears; Cassandra White; Federico Costa; Christine E. Stauber (2023). Dataset. [Dataset]. http://doi.org/10.1371/journal.pwat.0000129.s005
    Explore at:
    binAvailable download formats
    Dataset updated
    Nov 6, 2023
    Dataset provided by
    PLOS Water
    Authors
    Fabiana Almerinda G. Palma; Jonatas Fernandes Araújo Sodré; Nivison Nery Jr; Luciana Joaquim Oliveira; Joe Brown; Anu Bourgeois; Claire A. Spears; Cassandra White; Federico Costa; Christine E. Stauber
    License

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

    Description

    Problems of access and quality of sanitary sewage disproportionately impact the health of populations in urban peripheries of low-and middle-income countries. The condominial sewer system is a practical, low-cost, effective, and simplified engineering approach compared to conventional sewer systems. In support of meeting the sanitation needs in highly populated urban settings, there is a need to understand the residents’ perceptions regarding the advantages and disadvantages of this sanitation model compared to conventional sewer systems. We conducted a cross-sectional study from September to December 2021 in two urban communities of Salvador, Bahia, Brazil, where condominial and conventional sewer systems had been implemented in the last five years. Of the 203 residents we interviewed, 50.7% lived in a site served by a condominial sewer system. Residents in the condominial sewer site reported not connecting to public sewage network (23.7% vs. 11.2%; p = 0.022) more often than in the conventional site. They reported more collective action to solve urban sanitation problems (69.9% vs. 54.0%; p = 0.020), such as manhole cleaning and unclogging efforts to fix plumbing. Despite these challenges, these residents expressed that the current service quality is better than it was in the previous two years. Our results suggest that even within urban periphery communities of a large Brazilian city, disparities exist in access to and quality of sanitation services that may be linked to sewage system implementation. Implementing simplified sewer systems is important to meet the growing sanitation demands of urban areas. However, these systems should also play a role in reducing sanitation disparities and the adoption of participatory approaches to meet the needs of populations in the most disadvantaged conditions. Despite challenging conditions, there is the potential for community engagement and active participation in sanitation-related matters, which could enhance the implementation and long-term sustainability of these systems.

  4. f

    Sociodemographic characteristics of study population.

    • figshare.com
    • plos.figshare.com
    xls
    Updated Nov 6, 2023
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Fabiana Almerinda G. Palma; Jonatas Fernandes Araújo Sodré; Nivison Nery Jr; Luciana Joaquim Oliveira; Joe Brown; Anu Bourgeois; Claire A. Spears; Cassandra White; Federico Costa; Christine E. Stauber (2023). Sociodemographic characteristics of study population. [Dataset]. http://doi.org/10.1371/journal.pwat.0000129.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Nov 6, 2023
    Dataset provided by
    PLOS Water
    Authors
    Fabiana Almerinda G. Palma; Jonatas Fernandes Araújo Sodré; Nivison Nery Jr; Luciana Joaquim Oliveira; Joe Brown; Anu Bourgeois; Claire A. Spears; Cassandra White; Federico Costa; Christine E. Stauber
    License

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

    Description

    Sociodemographic characteristics of study population.

  5. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

Share
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Click to copy link
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Close
Cite
Neilsberg Research (2024). Age-wise distribution of Brazil, IN household incomes: Comparative analysis across 16 income brackets [Dataset]. https://www.neilsberg.com/research/datasets/855ac15f-8dec-11ee-9302-3860777c1fe6/

Age-wise distribution of Brazil, IN household incomes: Comparative analysis across 16 income brackets

Explore at:
json, csvAvailable download formats
Dataset updated
Jan 9, 2024
Dataset authored and provided by
Neilsberg Research
License

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

Area covered
Brazil
Variables measured
Number of households with income $200,000 or more, Number of households with income less than $10,000, Number of households with income between $15,000 - $19,999, Number of households with income between $20,000 - $24,999, Number of households with income between $25,000 - $29,999, Number of households with income between $30,000 - $34,999, Number of households with income between $35,000 - $39,999, Number of households with income between $40,000 - $44,999, Number of households with income between $45,000 - $49,999, Number of households with income between $50,000 - $59,999, and 6 more
Measurement technique
The data presented in this dataset is derived from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates. It delineates income distributions across 16 income brackets (mentioned above) following an initial analysis and categorization. Using this dataset, you can find out the total number of households within a specific income bracket along with how many households with that income bracket for each of the 4 age cohorts (Under 25 years, 25-44 years, 45-64 years and 65 years and over). For additional information about these estimations, please contact us via email at research@neilsberg.com
Dataset funded by
Neilsberg Research
Description
About this dataset

Context

The dataset presents the the household distribution across 16 income brackets among four distinct age groups in Brazil: Under 25 years, 25-44 years, 45-64 years, and over 65 years. The dataset highlights the variation in household income, offering valuable insights into economic trends and disparities within different age categories, aiding in data analysis and decision-making..

Key observations

  • Upon closer examination of the distribution of households among age brackets, it reveals that there are 149(4.48%) households where the householder is under 25 years old, 1,000(30.05%) households with a householder aged between 25 and 44 years, 1,136(34.13%) households with a householder aged between 45 and 64 years, and 1,043(31.34%) households where the householder is over 65 years old.
  • The age group of 25 to 44 years exhibits the highest median household income, while the largest number of households falls within the 45 to 64 years bracket. This distribution hints at economic disparities within the city of Brazil, showcasing varying income levels among different age demographics.
Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Income brackets:

  • Less than $10,000
  • $10,000 to $14,999
  • $15,000 to $19,999
  • $20,000 to $24,999
  • $25,000 to $29,999
  • $30,000 to $34,999
  • $35,000 to $39,999
  • $40,000 to $44,999
  • $45,000 to $49,999
  • $50,000 to $59,999
  • $60,000 to $74,999
  • $75,000 to $99,999
  • $100,000 to $124,999
  • $125,000 to $149,999
  • $150,000 to $199,999
  • $200,000 or more

Variables / Data Columns

  • Household Income: This column showcases 16 income brackets ranging from Under $10,000 to $200,000+ ( As mentioned above).
  • Under 25 years: The count of households led by a head of household under 25 years old with income within a specified income bracket.
  • 25 to 44 years: The count of households led by a head of household 25 to 44 years old with income within a specified income bracket.
  • 45 to 64 years: The count of households led by a head of household 45 to 64 years old with income within a specified income bracket.
  • 65 years and over: The count of households led by a head of household 65 years and over old with income within a specified income bracket.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Brazil median household income by age. You can refer the same here

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