100+ datasets found
  1. B

    Brazil No of Job Postings: Active

    • ceicdata.com
    Updated Nov 17, 2025
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    CEICdata.com (2025). Brazil No of Job Postings: Active [Dataset]. https://www.ceicdata.com/en/brazil/number-of-job-postings-active-by-industry/no-of-job-postings-active
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    Dataset updated
    Nov 17, 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
    Sep 1, 2025 - Nov 17, 2025
    Area covered
    Brazil
    Description

    Brazil Number of Job Postings: Active data was reported at 728,445.000 Unit in 17 Nov 2025. This records an increase from the previous number of 727,859.000 Unit for 10 Nov 2025. Brazil Number of Job Postings: Active data is updated weekly, averaging 2,208.000 Unit from Jan 2008 (Median) to 17 Nov 2025, with 933 observations. The data reached an all-time high of 976,280.000 Unit in 06 Mar 2023 and a record low of 0.000 Unit in 09 Nov 2009. Brazil Number of Job Postings: Active data remains active status in CEIC and is reported by Revelio Labs, Inc.. The data is categorized under Global Database’s Brazil – Table BR.RL.JP: Number of Job Postings: Active: by Industry.

  2. Discouraged job-seekers in Brazil 2012-2023, by gender

    • statista.com
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    Statista, Discouraged job-seekers in Brazil 2012-2023, by gender [Dataset]. https://www.statista.com/statistics/1344590/discouraged-job-seekers-by-gender-brazil/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Brazil
    Description

    The number of discouraged job seekers in Brazil was on an upward trend from 2016 to 2021, increasing from 796,700 in that year to more than 1.37 million. Throughout the period considered, the number of women among the unemployed who were not looking for work was higher than that of their male counterparts, although by 2023 the number had decreased compared to 2012, when there were more than one million discouraged female jobseekers.

  3. B

    Brazil Labour Force: Unemployed: Who Did Not Look for a Job: But Would Like...

    • ceicdata.com
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    CEICdata.com, Brazil Labour Force: Unemployed: Who Did Not Look for a Job: But Would Like to Work: Central West [Dataset]. https://www.ceicdata.com/en/brazil/continuous-national-household-sample-survey-weekly/labour-force-unemployed-who-did-not-look-for-a-job-but-would-like-to-work-central-west
    Explore at:
    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
    May 30, 2020 - Aug 22, 2020
    Area covered
    Brazil
    Description

    Brazil Labour Force: Unemployed: Who Did Not Look for a Job: But Would Like to Work: Central West data was reported at 9,690,055.041 Person in 22 Aug 2020. This records an increase from the previous number of 9,674,955.316 Person for 15 Aug 2020. Brazil Labour Force: Unemployed: Who Did Not Look for a Job: But Would Like to Work: Central West data is updated daily, averaging 9,690,055.041 Person from May 2020 (Median) to 22 Aug 2020, with 15 observations. The data reached an all-time high of 9,805,848.543 Person in 06 Jun 2020 and a record low of 9,593,645.792 Person in 23 May 2020. Brazil Labour Force: Unemployed: Who Did Not Look for a Job: But Would Like to Work: Central West data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Brazil Premium Database’s Labour Market – Table BR.GBA001: Continuous National Household Sample Survey: Weekly.

  4. B

    Brazil Labour Force: Unemployed: Who Did Not Look for a Job: But Would Like...

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). Brazil Labour Force: Unemployed: Who Did Not Look for a Job: But Would Like to Work [Dataset]. https://www.ceicdata.com/en/brazil/continuous-national-household-sample-survey-weekly/labour-force-unemployed-who-did-not-look-for-a-job-but-would-like-to-work
    Explore at:
    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
    May 30, 2020 - Aug 22, 2020
    Area covered
    Brazil
    Description

    Brazil Labour Force: Unemployed: Who Did Not Look for a Job: But Would Like to Work data was reported at 122,246,066.358 Person in 22 Aug 2020. This records an increase from the previous number of 122,055,244.483 Person for 15 Aug 2020. Brazil Labour Force: Unemployed: Who Did Not Look for a Job: But Would Like to Work data is updated daily, averaging 122,025,116.179 Person from May 2020 (Median) to 22 Aug 2020, with 15 observations. The data reached an all-time high of 122,246,066.358 Person in 22 Aug 2020 and a record low of 120,610,565.790 Person in 16 May 2020. Brazil Labour Force: Unemployed: Who Did Not Look for a Job: But Would Like to Work data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Brazil Premium Database’s Labour Market – Table BR.GBA001: Continuous National Household Sample Survey: Weekly.

  5. T

    Brazil Net Payrolls

    • tradingeconomics.com
    • es.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Oct 30, 2025
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    TRADING ECONOMICS (2025). Brazil Net Payrolls [Dataset]. https://tradingeconomics.com/brazil/non-farm-payrolls
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    json, csv, excel, xmlAvailable download formats
    Dataset updated
    Oct 30, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    May 31, 1999 - Oct 31, 2025
    Area covered
    Brazil
    Description

    Non Farm Payrolls in Brazil increased by 85 thousand in October of 2025. This dataset provides the latest reported value for - Brazil Net Payrolls - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  6. Share of unemployed in Brazil Q1 2019-Q1 2022, by time in unemployment

    • statista.com
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    Statista, Share of unemployed in Brazil Q1 2019-Q1 2022, by time in unemployment [Dataset]. https://www.statista.com/statistics/1343700/distribution-unemployment-duration-brazil/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Brazil
    Description

    In the first quarter of 2022, 42 percent of the unemployed population of Brazil had been in that situation for less than three months, while another 37 percent had been without a job for longer than a year. The share of population unemployed for more than a year peaked in the third quarter of 2021, at 44 percent.

  7. B

    Brazil Labour Force: Unemployed: Who Did Not Look for a Job: But Would Like...

    • ceicdata.com
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    CEICdata.com, Brazil Labour Force: Unemployed: Who Did Not Look for a Job: But Would Like to Work: South [Dataset]. https://www.ceicdata.com/en/brazil/continuous-national-household-sample-survey-weekly/labour-force-unemployed-who-did-not-look-for-a-job-but-would-like-to-work-south
    Explore at:
    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
    May 30, 2020 - Aug 22, 2020
    Area covered
    Brazil
    Description

    Brazil Labour Force: Unemployed: Who Did Not Look for a Job: But Would Like to Work: South data was reported at 17,360,888.591 Person in 22 Aug 2020. This records a decrease from the previous number of 17,395,329.924 Person for 15 Aug 2020. Brazil Labour Force: Unemployed: Who Did Not Look for a Job: But Would Like to Work: South data is updated daily, averaging 17,366,176.975 Person from May 2020 (Median) to 22 Aug 2020, with 15 observations. The data reached an all-time high of 17,550,237.545 Person in 13 Jun 2020 and a record low of 17,253,191.415 Person in 25 Jul 2020. Brazil Labour Force: Unemployed: Who Did Not Look for a Job: But Would Like to Work: South data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Brazil Premium Database’s Labour Market – Table BR.GBA001: Continuous National Household Sample Survey: Weekly.

  8. Data from: Criação e Destruição de Empregos no Setor Primário no Brasil...

    • scielo.figshare.com
    jpeg
    Updated Jun 11, 2023
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    Flavio Kaue Fiuza-Moura; Carina Diane Nakatani-Macedo; Marcia Regina Gabardo da Camara; Umberto Antonio Sesso Filho (2023). Criação e Destruição de Empregos no Setor Primário no Brasil entre 2000 e 2009 [Dataset]. http://doi.org/10.6084/m9.figshare.14303487.v1
    Explore at:
    jpegAvailable download formats
    Dataset updated
    Jun 11, 2023
    Dataset provided by
    SciELOhttp://www.scielo.org/
    Authors
    Flavio Kaue Fiuza-Moura; Carina Diane Nakatani-Macedo; Marcia Regina Gabardo da Camara; Umberto Antonio Sesso Filho
    License

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

    Area covered
    Brazil
    Description

    Abstract: The objective of this paper is to analyze the employment variation in primary sector between the years 2000-2009 in Brazil. We used the methodology of input-output through the structural decomposition of the employment variation divided into effects of employment intensity, technology, demand structure, demand growth and total net variation. The main results showed that between the periods studied, there was a decrease of 773 thousand jobs in the sector of Agriculture and Extraction. We also find that the Agriculture, Forestry and Lumbering, and Livestock and Fishing sectors were the responsible for the employment decrease through the intensity effect. Looking at the total job variation, we found out that a significant amount of jobs were created in the Oil and Natural Gas and Iron sectors. Despite of that, and mostly because these sectors have a minor participation in the Brazilian primary sector, this employment increase was not enough to counterbalance the job decrease in the other sectors.

  9. B

    Brazil Labour Force: Unemployed: Who Did Not Look for a Job: But Would Like...

    • ceicdata.com
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    CEICdata.com, Brazil Labour Force: Unemployed: Who Did Not Look for a Job: But Would Like to Work: Northeast [Dataset]. https://www.ceicdata.com/en/brazil/continuous-national-household-sample-survey-weekly/labour-force-unemployed-who-did-not-look-for-a-job-but-would-like-to-work-northeast
    Explore at:
    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
    May 30, 2020 - Aug 22, 2020
    Area covered
    Brazil
    Description

    Brazil Labour Force: Unemployed: Who Did Not Look for a Job: But Would Like to Work: Northeast data was reported at 32,157,589.920 Person in 22 Aug 2020. This records a decrease from the previous number of 32,304,704.953 Person for 15 Aug 2020. Brazil Labour Force: Unemployed: Who Did Not Look for a Job: But Would Like to Work: Northeast data is updated daily, averaging 32,157,589.920 Person from May 2020 (Median) to 22 Aug 2020, with 15 observations. The data reached an all-time high of 32,356,815.494 Person in 08 Aug 2020 and a record low of 31,499,614.452 Person in 23 May 2020. Brazil Labour Force: Unemployed: Who Did Not Look for a Job: But Would Like to Work: Northeast data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Brazil Premium Database’s Labour Market – Table BR.GBA001: Continuous National Household Sample Survey: Weekly.

  10. B

    Brazil Labour Force: Unemployed: Who Did Not Look for a Job: But Would Like...

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). Brazil Labour Force: Unemployed: Who Did Not Look for a Job: But Would Like to Work: Southeast [Dataset]. https://www.ceicdata.com/en/brazil/continuous-national-household-sample-survey-weekly/labour-force-unemployed-who-did-not-look-for-a-job-but-would-like-to-work-southeast
    Explore at:
    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
    May 30, 2020 - Aug 22, 2020
    Area covered
    Brazil
    Description

    Brazil Labour Force: Unemployed: Who Did Not Look for a Job: But Would Like to Work: Southeast data was reported at 52,740,811.975 Person in 22 Aug 2020. This records an increase from the previous number of 52,361,941.236 Person for 15 Aug 2020. Brazil Labour Force: Unemployed: Who Did Not Look for a Job: But Would Like to Work: Southeast data is updated daily, averaging 52,361,941.236 Person from May 2020 (Median) to 22 Aug 2020, with 15 observations. The data reached an all-time high of 52,786,597.615 Person in 20 Jun 2020 and a record low of 51,904,279.135 Person in 09 May 2020. Brazil Labour Force: Unemployed: Who Did Not Look for a Job: But Would Like to Work: Southeast data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Brazil Premium Database’s Labour Market – Table BR.GBA001: Continuous National Household Sample Survey: Weekly.

  11. N

    Brazil, IN annual median income by work experience and sex dataset: Aged...

    • neilsberg.com
    csv, json
    Updated Feb 27, 2025
    + more versions
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    Neilsberg Research (2025). Brazil, IN annual median income by work experience and sex dataset: Aged 15+, 2010-2023 (in 2023 inflation-adjusted dollars) // 2025 Edition [Dataset]. https://www.neilsberg.com/research/datasets/a5055425-f4ce-11ef-8577-3860777c1fe6/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Feb 27, 2025
    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, IN
    Variables measured
    Income for Male Population, Income for Female Population, Income for Male Population working full time, Income for Male Population working part time, Income for Female Population working full time, Income for Female Population working part time
    Measurement technique
    The data presented in this dataset is derived from the U.S. Census Bureau American Community Survey (ACS) 5-Year Estimates. The dataset covers the years 2010 to 2023, representing 14 years of data. To analyze income differences between genders (male and female), we conducted an initial data analysis and categorization. Subsequently, we adjusted these figures for inflation using the Consumer Price Index retroactive series (R-CPI-U-RS) based on current methodologies. 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 median income data over a decade or more for males and females categorized by Total, Full-Time Year-Round (FT), and Part-Time (PT) employment in Brazil. It showcases annual income, providing insights into gender-specific income distributions and the disparities between full-time and part-time work. The dataset can be utilized to gain insights into gender-based pay disparity trends and explore the variations in income for male and female individuals.

    Key observations: Insights from 2023

    Based on our analysis ACS 2019-2023 5-Year Estimates, we present the following observations: - All workers, aged 15 years and older: In Brazil, the median income for all workers aged 15 years and older, regardless of work hours, was $40,771 for males and $23,384 for females.

    These income figures highlight a substantial gender-based income gap in Brazil. Women, regardless of work hours, earn 57 cents for each dollar earned by men. This significant gender pay gap, approximately 43%, underscores concerning gender-based income inequality in the city of Brazil.

    - Full-time workers, aged 15 years and older: In Brazil, among full-time, year-round workers aged 15 years and older, males earned a median income of $55,489, while females earned $38,980, leading to a 30% gender pay gap among full-time workers. This illustrates that women earn 70 cents for each dollar earned by men in full-time roles. This analysis indicates a widening gender pay gap, showing a substantial income disparity where women, despite working full-time, face a more significant wage discrepancy compared to men in the same roles.

    Surprisingly, the gender pay gap percentage was higher across all roles, including non-full-time employment, for women compared to men. This suggests that full-time employment offers a more equitable income scenario for women compared to other employment patterns in Brazil.

    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.

    Gender classifications include:

    • Male
    • Female

    Employment type classifications include:

    • Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
    • Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

    Variables / Data Columns

    • Year: This column presents the data year. Expected values are 2010 to 2023
    • Male Total Income: Annual median income, for males regardless of work hours
    • Male FT Income: Annual median income, for males working full time, year-round
    • Male PT Income: Annual median income, for males working part time
    • Female Total Income: Annual median income, for females regardless of work hours
    • Female FT Income: Annual median income, for females working full time, year-round
    • Female PT Income: Annual median income, for females working part time

    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 race. You can refer the same here

  12. B

    Brazil No of Job Postings: Active: Non-classifiable Establishments

    • ceicdata.com
    Updated Mar 17, 2025
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    CEICdata.com (2025). Brazil No of Job Postings: Active: Non-classifiable Establishments [Dataset]. https://www.ceicdata.com/en/brazil/number-of-job-postings-active-by-industry/no-of-job-postings-active-nonclassifiable-establishments
    Explore at:
    Dataset updated
    Mar 17, 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 30, 2024 - Mar 17, 2025
    Area covered
    Brazil
    Description

    Brazil Number of Job Postings: Active: Non-classifiable Establishments data was reported at 82.000 Unit in 05 May 2025. This stayed constant from the previous number of 82.000 Unit for 28 Apr 2025. Brazil Number of Job Postings: Active: Non-classifiable Establishments data is updated weekly, averaging 0.000 Unit from Jan 2008 (Median) to 05 May 2025, with 905 observations. The data reached an all-time high of 738.000 Unit in 29 Nov 2021 and a record low of 0.000 Unit in 30 Aug 2021. Brazil Number of Job Postings: Active: Non-classifiable Establishments data remains active status in CEIC and is reported by Revelio Labs, Inc.. The data is categorized under Global Database’s Brazil – Table BR.RL.JP: Number of Job Postings: Active: by Industry.

  13. N

    Brazil, IN annual income distribution by work experience and gender dataset:...

    • neilsberg.com
    csv, json
    Updated Feb 27, 2025
    + more versions
    Share
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    Neilsberg Research (2025). Brazil, IN annual income distribution by work experience and gender dataset: Number of individuals ages 15+ with income, 2023 // 2025 Edition [Dataset]. https://www.neilsberg.com/research/datasets/ba9943d6-f4ce-11ef-8577-3860777c1fe6/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Feb 27, 2025
    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
    Income for Male Population, Income for Female Population, Income for Male Population working full time, Income for Male Population working part time, Income for Female Population working full time, Income for Female Population working part time, Number of males working full time for a given income bracket, Number of males working part time for a given income bracket, Number of females working full time for a given income bracket, Number of females working part time for a given income bracket
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. To portray the number of individuals for both the genders (Male and Female), within each income bracket we conducted an initial analysis and categorization of the American Community Survey data. Households are categorized, and median incomes are reported based on the self-identified gender of the head of the household. 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 detailed breakdown of the count of individuals within distinct income brackets, categorizing them by gender (men and women) and employment type - full-time (FT) and part-time (PT), offering valuable insights into the diverse income landscapes within Brazil. The dataset can be utilized to gain insights into gender-based income distribution within the Brazil population, aiding in data analysis and decision-making..

    Key observations

    • Employment patterns: Within Brazil, among individuals aged 15 years and older with income, there were 2,780 men and 2,931 women in the workforce. Among them, 1,568 men were engaged in full-time, year-round employment, while 1,108 women were in full-time, year-round roles.
    • Annual income under $24,999: Of the male population working full-time, 5.17% fell within the income range of under $24,999, while 20.13% of the female population working full-time was represented in the same income bracket.
    • Annual income above $100,000: 15.56% of men in full-time roles earned incomes exceeding $100,000, while none of women in full-time positions earned within this income bracket.
    • Refer to the research insights for more key observations on more income brackets ( Annual income under $24,999, Annual income between $25,000 and $49,999, Annual income between $50,000 and $74,999, Annual income between $75,000 and $99,999 and Annual income above $100,000) and employment types (full-time year-round and part-time)
    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

    Income brackets:

    • $1 to $2,499 or loss
    • $2,500 to $4,999
    • $5,000 to $7,499
    • $7,500 to $9,999
    • $10,000 to $12,499
    • $12,500 to $14,999
    • $15,000 to $17,499
    • $17,500 to $19,999
    • $20,000 to $22,499
    • $22,500 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 $54,999
    • $55,000 to $64,999
    • $65,000 to $74,999
    • $75,000 to $99,999
    • $100,000 or more

    Variables / Data Columns

    • Income Bracket: This column showcases 20 income brackets ranging from $1 to $100,000+..
    • Full-Time Males: The count of males employed full-time year-round and earning within a specified income bracket
    • Part-Time Males: The count of males employed part-time and earning within a specified income bracket
    • Full-Time Females: The count of females employed full-time year-round and earning within a specified income bracket
    • Part-Time Females: The count of females employed part-time and earning within a specified income bracket

    Employment type classifications include:

    • Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
    • Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

    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 race. You can refer the same here

  14. Data from: Measuring unpaid work in Brazil: a methodological proposal

    • scielo.figshare.com
    tiff
    Updated Jun 1, 2023
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    Hildete Pereira de Melo; Lucilene Morandi (2023). Measuring unpaid work in Brazil: a methodological proposal [Dataset]. http://doi.org/10.6084/m9.figshare.20004007.v1
    Explore at:
    tiffAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    SciELOhttp://www.scielo.org/
    Authors
    Hildete Pereira de Melo; Lucilene Morandi
    License

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

    Area covered
    Brazil
    Description

    Abstract Statistics show that, worldwide, women are the most responsible for the reproductive work of human life, which involves domestic tasks and care giving, and is defined as unpaid work. It is necessary to recognize the value and importance for society of this work. One way of doing this is to show the volume of wealth, in the form of goods and services, generated by this invisible work, through its measurement/valuation. For this, a Satellite Account of unpaid work is created, fulfilling one of the objectives proposed by the UN in the list of Millennium Development Goals. Thus, this study proposes a social indicator of unpaid work for Brazil to be incorporated into the national accounts system. This paper discusses the meaning of Satellite Accounts for gender statistics, highlighting the economic importance of household chores and care giving, not only for families but for society as a whole, emphasizing the difficulties in reconciling work and family for those responsible for this unpaid work. Finally, the text develops a methodological proposal to estimate unpaid work in Brazil that is compatible with national accounting.

  15. B

    Brazil No of Job Postings: Removed: Information

    • ceicdata.com
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    CEICdata.com, Brazil No of Job Postings: Removed: Information [Dataset]. https://www.ceicdata.com/en/brazil/number-of-job-postings-removed-by-industry/no-of-job-postings-removed-information
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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 30, 2024 - Mar 17, 2025
    Area covered
    Brazil
    Description

    Brazil Number of Job Postings: Removed: Information data was reported at 4,524.000 Unit in 14 Apr 2025. This records a decrease from the previous number of 5,564.000 Unit for 07 Apr 2025. Brazil Number of Job Postings: Removed: Information data is updated weekly, averaging 59.000 Unit from Jan 2008 (Median) to 14 Apr 2025, with 902 observations. The data reached an all-time high of 170,941.000 Unit in 09 May 2022 and a record low of 0.000 Unit in 25 Oct 2010. Brazil Number of Job Postings: Removed: Information data remains active status in CEIC and is reported by Revelio Labs, Inc.. The data is categorized under Global Database’s Brazil – Table BR.RL.JP: Number of Job Postings: Removed: by Industry.

  16. Employment structural decomposition in manufacturing industries between...

    • scielo.figshare.com
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    Updated Jun 5, 2023
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    Carina Diane Nakatani-Macedo; Flávio Kauê Fiuza-Moura; Marcia Regina Gabardo da Câmara; Umberto Antonio Sesso Filho (2023). Employment structural decomposition in manufacturing industries between 2000-2009 [Dataset]. http://doi.org/10.6084/m9.figshare.20020498.v1
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    pngAvailable download formats
    Dataset updated
    Jun 5, 2023
    Dataset provided by
    SciELOhttp://www.scielo.org/
    Authors
    Carina Diane Nakatani-Macedo; Flávio Kauê Fiuza-Moura; Marcia Regina Gabardo da Câmara; Umberto Antonio Sesso Filho
    License

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

    Description

    ABSTRACT The aim of this article is to analyze the employment variation in manufacturing industries between years 2000-2009 in Brazil. It employs an input-output methodology, by means of employment structural decomposition into intensity, technology, demand, growth and total effects. The main results showed that in the period Brazilian manufacturing sectors added up 4.38 million jobs, which represented 25% of total jobs created in the country. Among the studied effects, growth and intensity shall be highlighted as the main responsible outcomes. Considering total impacts, the industries that showed greater relative increase in jobs where: food and beverage, clothes and construction. The results lead to the conclusion that, in the studied period, manufacturing in Brazil showed an increase in employment rates, with technology, despite not being the lone factor, having produced a positive impact in job creation.

  17. f

    Data from: Role conflict, role ambiguity and job satisfaction: Perceptions...

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    Updated May 31, 2023
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    Marilu Nuñez Palomino; Fábio Frezatti (2023). Role conflict, role ambiguity and job satisfaction: Perceptions of the Brazilian controllers [Dataset]. http://doi.org/10.6084/m9.figshare.14278229.v1
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    jpegAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    SciELO journals
    Authors
    Marilu Nuñez Palomino; Fábio Frezatti
    License

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

    Description

    ABSTRACT From early times to the present, accounting literature has recorded several situations involving role conflict and ambiguity that cause tension among controllers. The theoretical framework was comprised of the seminal work on Role Theory by Katz and Kahn (1970), and empirical evidence regarding the evolution of the role of controllers in the enterprises. In this study, we used the structural equations technique, which allowed for non-rejection of the two study hypotheses, thus providing evidence that role conflict and ambiguity adversely affect job satisfaction among Brazilian controllers. The sample was comprised of 114 controllers. An electronic questionnaire was used to collect the data, allowing information about the respondents to be captured, along with their perceptions regarding levels of role conflict and ambiguity and job satisfaction. For this, the tools developed by Rizzo, House, and Lirtzman (1970) were used, as well as the Job Satisfaction Index presented by Tarrant and Sabo (2010). The results indicated that Brazilian controllers perceive role conflict and role ambiguity while they perform their duties. Job satisfaction of the controllers isaffected more strongly by role ambiguity than by role conflict. However, despite perceiving these two tensions, executives are moderately satisfied with their current working conditions.

  18. B

    Brazil No of Job Postings: Removed: Wholesale Trade

    • ceicdata.com
    Updated Mar 17, 2025
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    CEICdata.com (2025). Brazil No of Job Postings: Removed: Wholesale Trade [Dataset]. https://www.ceicdata.com/en/brazil/number-of-job-postings-removed-by-industry/no-of-job-postings-removed-wholesale-trade
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    Dataset updated
    Mar 17, 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 30, 2024 - Mar 17, 2025
    Area covered
    Brazil
    Description

    Brazil Number of Job Postings: Removed: Wholesale Trade data was reported at 1,138.000 Unit in 05 May 2025. This records a decrease from the previous number of 1,224.000 Unit for 28 Apr 2025. Brazil Number of Job Postings: Removed: Wholesale Trade data is updated weekly, averaging 3.000 Unit from Jan 2008 (Median) to 05 May 2025, with 905 observations. The data reached an all-time high of 3,872.000 Unit in 16 May 2022 and a record low of 0.000 Unit in 09 Oct 2017. Brazil Number of Job Postings: Removed: Wholesale Trade data remains active status in CEIC and is reported by Revelio Labs, Inc.. The data is categorized under Global Database’s Brazil – Table BR.RL.JP: Number of Job Postings: Removed: by Industry.

  19. Data from: Thermal overload in rural areas: the influence of work intensity

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    Updated Jun 4, 2023
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    Rodrigo Cauduro Roscani; Paulo Alves Maia; Maria Inês Monteiro (2023). Thermal overload in rural areas: the influence of work intensity [Dataset]. http://doi.org/10.6084/m9.figshare.10296104.v1
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    jpegAvailable download formats
    Dataset updated
    Jun 4, 2023
    Dataset provided by
    SciELOhttp://www.scielo.org/
    Authors
    Rodrigo Cauduro Roscani; Paulo Alves Maia; Maria Inês Monteiro
    License

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

    Description

    Abstract Introduction: Brazilian law requires the use of Wet-Bulb Globe Temperature (WBGT) to monitor work environments where heat may pose a risk to workers’ health; however, such monitoring is often not observed and preventive measures are not taken. Objective: to identify and map the influence of labor intensity on the potential extrapolation of heat exposure threshold limits for outdoor workers in rural areas of northeastern Brazil. Methods: based on Brazil’s Labor Regulatory Standard no. 15 and data from the Brazilian Institute of Meteorology, the software Sobrecarga Térmica (Thermal Overload) was used to estimate WBGT index in the territory from September 1st, 2016 to August 31, 2017. Results: the extrapolation of thermal overload limits was characterized for heavy work in 48%, and for moderate work in 14% of the 132 geographic points investigated, indicating the need for rest stops in more than 50% of the analyzed period. Discussion: decreasing work intensity results in an expressive reduction in thermal overload rates. The restriction to the stimulation of strenuous activities - especially remunerated ones linked to production - in regions historically recognized for their high risk of heat exposure should be implemented as an effective preventive measure for heat stress.

  20. B

    Brazil No of Job Postings: Removed: Utilities

    • ceicdata.com
    Updated Mar 17, 2025
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    CEICdata.com (2025). Brazil No of Job Postings: Removed: Utilities [Dataset]. https://www.ceicdata.com/en/brazil/number-of-job-postings-removed-by-industry/no-of-job-postings-removed-utilities
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    Dataset updated
    Mar 17, 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 30, 2024 - Mar 17, 2025
    Area covered
    Brazil
    Description

    Brazil Number of Job Postings: Removed: Utilities data was reported at 483.000 Unit in 05 May 2025. This records a decrease from the previous number of 545.000 Unit for 28 Apr 2025. Brazil Number of Job Postings: Removed: Utilities data is updated weekly, averaging 2.000 Unit from Jan 2008 (Median) to 05 May 2025, with 905 observations. The data reached an all-time high of 1,308.000 Unit in 26 Sep 2022 and a record low of 0.000 Unit in 09 Apr 2018. Brazil Number of Job Postings: Removed: Utilities data remains active status in CEIC and is reported by Revelio Labs, Inc.. The data is categorized under Global Database’s Brazil – Table BR.RL.JP: Number of Job Postings: Removed: by Industry.

Share
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CEICdata.com (2025). Brazil No of Job Postings: Active [Dataset]. https://www.ceicdata.com/en/brazil/number-of-job-postings-active-by-industry/no-of-job-postings-active

Brazil No of Job Postings: Active

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Dataset updated
Nov 17, 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
Sep 1, 2025 - Nov 17, 2025
Area covered
Brazil
Description

Brazil Number of Job Postings: Active data was reported at 728,445.000 Unit in 17 Nov 2025. This records an increase from the previous number of 727,859.000 Unit for 10 Nov 2025. Brazil Number of Job Postings: Active data is updated weekly, averaging 2,208.000 Unit from Jan 2008 (Median) to 17 Nov 2025, with 933 observations. The data reached an all-time high of 976,280.000 Unit in 06 Mar 2023 and a record low of 0.000 Unit in 09 Nov 2009. Brazil Number of Job Postings: Active data remains active status in CEIC and is reported by Revelio Labs, Inc.. The data is categorized under Global Database’s Brazil – Table BR.RL.JP: Number of Job Postings: Active: by Industry.

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