6 datasets found
  1. Main ethnic groups in Tanzania 2021

    • statista.com
    • ai-chatbox.pro
    Updated Jun 3, 2025
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    Statista (2025). Main ethnic groups in Tanzania 2021 [Dataset]. https://www.statista.com/statistics/1309205/distribution-of-ethnic-group-in-tanzania/
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    Dataset updated
    Jun 3, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Feb 23, 2021 - Mar 26, 2021
    Area covered
    Tanzania
    Description

    Sukuma was the largest ethnic group in Tanzania as of 2021. Around 17.5 percent of the surveyed population identified themselves as from the Bantu ethnic group. Nearly six percent belonged to the Ha group, while 4.1 percent were from the Gogo group. About 1.3 percent of the respondents identified themselves as Tanzanians only or reported that they don't think of themselves in terms of ethnic communities, cultural groups, or tribes. Overall, around 130 ethnic groups are estimated to live in Tanzania.

  2. Afrobarometer Survey 2021 - Tanzania

    • microdata.worldbank.org
    • catalog.ihsn.org
    • +1more
    Updated Apr 19, 2023
    + more versions
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    Institute for Empirical Research in Political Economy (IREEP) (2023). Afrobarometer Survey 2021 - Tanzania [Dataset]. https://microdata.worldbank.org/index.php/catalog/5821
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    Dataset updated
    Apr 19, 2023
    Dataset provided by
    Institute for Justice and Reconciliationhttp://www.ijr.org.za/
    Ghana Centre for Democratic Development (CDD)
    Institute for Development Studies (IDS)
    Institute for Empirical Research in Political Economy (IREEP)
    Michigan State University (MSU)
    University of Cape Town (UCT, South Africa)
    Time period covered
    2021
    Area covered
    Tanzania
    Description

    Abstract

    The Afrobarometer is a comparative series of public attitude surveys that assess African citizen's attitudes to democracy and governance, markets, and civil society, among other topics. The surveys have been undertaken at periodic intervals since 1999. The Afrobarometer's coverage has increased over time. Round 1 (1999-2001) initially covered 7 countries and was later extended to 12 countries. Round 2 (2002-2004) surveyed citizens in 16 countries. Round 3 (2005-2006) 18 countries, Round 4 (2008) 20 countries, Round 5 (2011-2013) 34 countries, Round 6 (2014-2015) 36 countries, and Round 7 (2016-2018) 34 countries. The survey covered 34 countries in Round 8 (2019-2021).

    Geographic coverage

    National coverage

    Analysis unit

    Individual

    Universe

    Citizens of Tanzania who are 18 years and older

    Kind of data

    Sample survey data [ssd]

    Sampling procedure

    Afrobarometer uses national probability samples designed to meet the following criteria. Samples are designed to generate a sample that is a representative cross-section of all citizens of voting age in a given country. The goal is to give every adult citizen an equal and known chance of being selected for an interview. They achieve this by:

    • using random selection methods at every stage of sampling; • sampling at all stages with probability proportionate to population size wherever possible to ensure that larger (i.e., more populated) geographic units have a proportionally greater probability of being chosen into the sample.

    The sampling universe normally includes all citizens age 18 and older. As a standard practice, we exclude people living in institutionalized settings, such as students in dormitories, patients in hospitals, and persons in prisons or nursing homes. Occasionally, we must also exclude people living in areas determined to be inaccessible due to conflict or insecurity. Any such exclusion is noted in the technical information report (TIR) that accompanies each data set.

    Sample size and design Samples usually include either 1,200 or 2,400 cases. A randomly selected sample of n=1200 cases allows inferences to national adult populations with a margin of sampling error of no more than +/-2.8% with a confidence level of 95 percent. With a sample size of n=2400, the margin of error decreases to +/-2.0% at 95 percent confidence level.

    The sample design is a clustered, stratified, multi-stage, area probability sample. Specifically, we first stratify the sample according to the main sub-national unit of government (state, province, region, etc.) and by urban or rural location.

    Area stratification reduces the likelihood that distinctive ethnic or language groups are left out of the sample. Afrobarometer occasionally purposely oversamples certain populations that are politically significant within a country to ensure that the size of the sub-sample is large enough to be analysed. Any oversamples is noted in the TIR.

    Sample stages Samples are drawn in either four or five stages:

    Stage 1: In rural areas only, the first stage is to draw secondary sampling units (SSUs). SSUs are not used in urban areas, and in some countries they are not used in rural areas. See the TIR that accompanies each data set for specific details on the sample in any given country. Stage 2: We randomly select primary sampling units (PSU). Stage 3: We then randomly select sampling start points. Stage 4: Interviewers then randomly select households. Stage 5: Within the household, the interviewer randomly selects an individual respondent. Each interviewer alternates in each household between interviewing a man and interviewing a woman to ensure gender balance in the sample.

    To keep the costs and logistics of fieldwork within manageable limits, eight interviews are clustered within each selected PSU.

    Tanzania - Sample size: 2,398 - Sampling Frame: 2012 National Population and Housing Census produced by the Tanzania National Bureau of Statistics - Sample design: Nationally representative, random, clustered, stratified, multi-stage area probability sample - Stratification: Region and rural-urban location - Stages: PSUs (from strata), start points, households, respondents - PSU selection: Probability Proportionate to Population Size (PPPS) - Cluster size: 8 households per PSU - Household selection: Randomly selected start points, followed by walk pattern using 5/10 interval - Respondent selection: Gender quota filled by alternating interviews between men and women; respondents of appropriate gender listed, after which computer randomly selects individual

    Mode of data collection

    Face-to-face [f2f]

    Research instrument

    The Round 8 questionnaire has been developed by the Questionnaire Committee after reviewing the findings and feedback obtained in previous Rounds, and securing input on preferred new topics from a host of donors, analysts, and users of the data.

    The questionnaire consists of three parts: 1. Part 1 captures the steps for selecting households and respondents, and includes the introduction to the respondent and (pp.1-4). This section should be filled in by the Fieldworker. 2. Part 2 covers the core attitudinal and demographic questions that are asked by the Fieldworker and answered by the Respondent (Q1 – Q100). 3. Part 3 includes contextual questions about the setting and atmosphere of the interview, and collects information on the Fieldworker. This section is completed by the Fieldworker (Q101 – Q123).

    Response rate

    Outcome rates: - Contact rate: 97% - Cooperation rate: 88% - Refusal rate: 1% - Response rate: 85%

    Sampling error estimates

    The sample size yields country-level results with a margin of error of +/-2 percentage points at a 95% confidence level.

  3. f

    Descriptive Statistics for Households Contributing Child Health Data by...

    • plos.figshare.com
    xls
    Updated Jun 2, 2023
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    David W. Lawson; Monique Borgerhoff Mulder; Margherita E. Ghiselli; Esther Ngadaya; Bernard Ngowi; Sayoki G. M. Mfinanga; Kari Hartwig; Susan James (2023). Descriptive Statistics for Households Contributing Child Health Data by Ethnicity. [Dataset]. http://doi.org/10.1371/journal.pone.0110447.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    PLOS ONE
    Authors
    David W. Lawson; Monique Borgerhoff Mulder; Margherita E. Ghiselli; Esther Ngadaya; Bernard Ngowi; Sayoki G. M. Mfinanga; Kari Hartwig; Susan James
    License

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

    Description

    aNumbers in square brackets are standard deviations.Descriptive Statistics for Households Contributing Child Health Data by Ethnicity.

  4. Multilevel Logistic Regressions Predicting Subjective Health and...

    • plos.figshare.com
    • figshare.com
    xls
    Updated May 30, 2023
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    David W. Lawson; Monique Borgerhoff Mulder; Margherita E. Ghiselli; Esther Ngadaya; Bernard Ngowi; Sayoki G. M. Mfinanga; Kari Hartwig; Susan James (2023). Multilevel Logistic Regressions Predicting Subjective Health and Self-Reported Incidence of Specific Illnesses/Symptoms. [Dataset]. http://doi.org/10.1371/journal.pone.0110447.t003
    Explore at:
    xlsAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    David W. Lawson; Monique Borgerhoff Mulder; Margherita E. Ghiselli; Esther Ngadaya; Bernard Ngowi; Sayoki G. M. Mfinanga; Kari Hartwig; Susan James
    License

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

    Description

    Adjusted odds ratios are adjusted for child age, child sex, hunger season and a random intercept for village.+ p

  5. Multilevel Logistic Regression Predicting Household Food Insecurity...

    • plos.figshare.com
    xls
    Updated Jun 4, 2023
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    David W. Lawson; Monique Borgerhoff Mulder; Margherita E. Ghiselli; Esther Ngadaya; Bernard Ngowi; Sayoki G. M. Mfinanga; Kari Hartwig; Susan James (2023). Multilevel Logistic Regression Predicting Household Food Insecurity (n = 2208). [Dataset]. http://doi.org/10.1371/journal.pone.0110447.t004
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 4, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    David W. Lawson; Monique Borgerhoff Mulder; Margherita E. Ghiselli; Esther Ngadaya; Bernard Ngowi; Sayoki G. M. Mfinanga; Kari Hartwig; Susan James
    License

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

    Description

    Adjusted odds ratios are adjusted for hunger season and a random intercept for village. See File SI2 for details on the Household Food Insecurity Access Scale.***p

  6. f

    Multilevel Linear Regressions Predicting Child Anthropometric Status.

    • plos.figshare.com
    xls
    Updated Jun 2, 2023
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    David W. Lawson; Monique Borgerhoff Mulder; Margherita E. Ghiselli; Esther Ngadaya; Bernard Ngowi; Sayoki G. M. Mfinanga; Kari Hartwig; Susan James (2023). Multilevel Linear Regressions Predicting Child Anthropometric Status. [Dataset]. http://doi.org/10.1371/journal.pone.0110447.t002
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    PLOS ONE
    Authors
    David W. Lawson; Monique Borgerhoff Mulder; Margherita E. Ghiselli; Esther Ngadaya; Bernard Ngowi; Sayoki G. M. Mfinanga; Kari Hartwig; Susan James
    License

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

    Description

    Adjusted B coefficients are adjusted for child age, child sex, hunger season and a random intercept for village.*p

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Statista (2025). Main ethnic groups in Tanzania 2021 [Dataset]. https://www.statista.com/statistics/1309205/distribution-of-ethnic-group-in-tanzania/
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Main ethnic groups in Tanzania 2021

Explore at:
Dataset updated
Jun 3, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
Feb 23, 2021 - Mar 26, 2021
Area covered
Tanzania
Description

Sukuma was the largest ethnic group in Tanzania as of 2021. Around 17.5 percent of the surveyed population identified themselves as from the Bantu ethnic group. Nearly six percent belonged to the Ha group, while 4.1 percent were from the Gogo group. About 1.3 percent of the respondents identified themselves as Tanzanians only or reported that they don't think of themselves in terms of ethnic communities, cultural groups, or tribes. Overall, around 130 ethnic groups are estimated to live in Tanzania.

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