8 datasets found
  1. Afrobarometer Survey 2022 - Zambia

    • datacatalog.ihsn.org
    • microdata.worldbank.org
    Updated Jun 11, 2025
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    Institute for Empirical Research in Political Economy (IREEP) (2025). Afrobarometer Survey 2022 - Zambia [Dataset]. https://datacatalog.ihsn.org/catalog/12956
    Explore at:
    Dataset updated
    Jun 11, 2025
    Dataset provided by
    Institute for Justice and Reconciliationhttp://www.ijr.org.za/
    Michigan State University (MSU)
    University of Cape Town (UCT, South Africa)
    Ghana Centre for Democratic Development (CDD)
    Institute for Development Studies (IDS)
    Institute for Empirical Research in Political Economy (IREEP)
    Time period covered
    2022
    Area covered
    Zambia
    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, Round 7 (2016-2018) 34 countries, and Round 8 (2019-2021). The survey covered 39 countries in Round 9 (2021-2023).

    Geographic coverage

    National coverage

    Analysis unit

    Individual

    Universe

    Citizens of Zambia 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.

    Zambia - Sample size: 1,200 - Sample design: Nationally representative, random, clustered, stratified, multi-stage area probability sample - Stratification: Region and urban-rural 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 - Weighting: Weighted to account for individual selection probabilities - Sampling frame: 2022 population projections produced by Zambia Statistics Agency (ZamStats) based on the 2010 Census of Population and Housing Sampling Frame

    Mode of data collection

    Face-to-face [f2f]

    Research instrument

    The Round 9 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

    Response rate was 87%.

    Sampling error estimates

    The sample size yields country-level results with a margin of error of +/-3 percentage points at a 95% confidence level.

  2. i

    Afrobarometer Survey 2012, Round 5 - Zambia

    • catalog.ihsn.org
    Updated Jan 16, 2021
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    The Institute for Democracy in South Africa (IDASA) (2021). Afrobarometer Survey 2012, Round 5 - Zambia [Dataset]. https://catalog.ihsn.org/catalog/8875
    Explore at:
    Dataset updated
    Jan 16, 2021
    Dataset provided by
    Michigan State University (MSU)
    The Institute for Democracy in South Africa (IDASA)
    Ghana Centre for Democratic Development (CDD-Ghana)
    Time period covered
    2012 - 2013
    Area covered
    Zambia
    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, and Round 4 (2008) 20 countries. The survey covered 34 countries in Round 5 (2011-2013).

    Geographic coverage

    National coverage

    Analysis unit

    Households

    Universe

    The sample universe for Afrobarometer surveys includes all citizens of voting age within the country. In other words, we exclude anyone who is not a citizen and anyone who has not attained this age (usually 18 years) on the day of the survey. Also excluded are areas determined to be either inaccessible or not relevant to the study, such as those experiencing armed conflict or natural disasters, as well as national parks and game reserves. As a matter of practice, we have also excluded people living in institutionalized settings, such as students in dormitories and persons in prisons or nursing homes.

    Kind of data

    Sample survey data [ssd]

    Sampling procedure

    Sample size: 1200 Sampling frame: 2010 Census of Population and Housing from the Central Statistical Office Sample universe: Citizens of Zambia who are 18 years and older Sample design: Nationally representative, random, clustered, stratified, multi-stage area probability sample Stratification: Province /ward and urban-rural 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 household member draws a numbered card to select individual

    Mode of data collection

    Face-to-face [f2f]

    Response rate

    Response rate of the survey was 74.9%.

  3. Afrobarometer Survey 2020 - Zambia

    • catalog.ihsn.org
    • microdata.worldbank.org
    Updated Apr 20, 2023
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    Institute for Empirical Research in Political Economy (IREEP) (2023). Afrobarometer Survey 2020 - Zambia [Dataset]. https://catalog.ihsn.org/catalog/study/ZMB_2020_AFB-R8_v01_M
    Explore at:
    Dataset updated
    Apr 20, 2023
    Dataset provided by
    Institute for Justice and Reconciliationhttp://www.ijr.org.za/
    Michigan State University (MSU)
    University of Cape Town (UCT, South Africa)
    Ghana Centre for Democratic Development (CDD)
    Institute for Development Studies (IDS)
    Institute for Empirical Research in Political Economy (IREEP)
    Time period covered
    2020
    Area covered
    Zambia
    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 Zambia 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.

    Zambia - Sample size: 1,200 - Sampling Frame: 2020 population projections based on the 2016 Bureau of Statistics Population Census - Sample design: Nationally representative, random, clustered, stratified, multi-stage area probability sample - Stratification: District and urban/peri-urban/rural 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: 93% - Cooperation rate: 74% - Refusal rate: 9% - Response rate: 69%

    Sampling error estimates

    The sample size yields country-level results with a margin of error of +/-3 percentage points at a 95% confidence level.

  4. Afrobarometer Survey 2018, Round 7 - Zambia

    • catalog.ihsn.org
    Updated Oct 14, 2021
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    Michigan State University (MSU) (2021). Afrobarometer Survey 2018, Round 7 - Zambia [Dataset]. https://catalog.ihsn.org/catalog/9864
    Explore at:
    Dataset updated
    Oct 14, 2021
    Dataset provided by
    Institute for Justice and Reconciliationhttp://www.ijr.org.za/
    Michigan State University (MSU)
    University of Cape Town (UCT, South Africa)
    Ghana Centre for Democratic Development (CDD)
    Institute for Development Studies (IDS)
    Institute for Empirical Research in Political Economy (IREEP)
    Time period covered
    2018
    Area covered
    Zambia
    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, and Round 6 (2014-2015) 36 countries. The survey covered 34 countries in Round 7 (2016-2018).

    Geographic coverage

    National coverage

    Analysis unit

    Individual

    Universe

    The sample universe for Afrobarometer surveys includes all citizens of voting age within the country. In other words, we exclude anyone who is not a citizen and anyone who has not attained this age (usually 18 years) on the day of the survey. Also excluded are areas determined to be either inaccessible or not relevant to the study, such as those experiencing armed conflict or natural disasters, as well as national parks and game reserves. As a matter of practice, we have also excluded people living in institutionalized settings, such as students in dormitories and persons in prisons or nursing homes.

    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.

    Mode of data collection

    Face-to-face [f2f]

    Research instrument

    The Round 7 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. As in previous Rounds, about two-thirds of the items from the Round 6 questionnaire remain the same, and about one-third are new items. In identifying new survey topics, the Questionnaire Committee sought to align the instrument with the global development agenda by incorporating topics that speak to the Sustainable Development Goals (SDGs) that were adopted by the United Nations General Assembly in 2015. Some of the new survey topics in the R7 questionnaire include: Safety and Security; State capacity; Migration; Closing spaces; Inclusion; Climate change and, the Middle class.

    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).

  5. i

    Afrobarometer Survey 2005, Round 3 - Zambia

    • catalog.ihsn.org
    Updated Jan 16, 2021
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    The Institute for Democracy in South Africa (IDASA) (2021). Afrobarometer Survey 2005, Round 3 - Zambia [Dataset]. http://catalog.ihsn.org/catalog/9271
    Explore at:
    Dataset updated
    Jan 16, 2021
    Dataset provided by
    Michigan State University (MSU)
    The Institute for Democracy in South Africa (IDASA)
    Ghana Centre for Democratic Development (CDD-Ghana)
    Time period covered
    2005
    Area covered
    Zambia
    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. The survey covered 18 countries in Round 3 (2005-2006).

    Geographic coverage

    National coverage

    Analysis unit

    Individuals

    Universe

    The sample universe for Afrobarometer surveys includes all citizens of voting age within the country. In other words, we exclude anyone who is not a citizen and anyone who has not attained this age (usually 18 years) on the day of the survey. Also excluded are areas determined to be either inaccessible or not relevant to the study, such as those experiencing armed conflict or natural disasters, as well as national parks and game reserves. As a matter of practice, we have also excluded people living in institutionalized settings, such as students in dormitories and persons in prisons or nursing homes.

    Kind of data

    Sample survey data [ssd]

    Sampling procedure

    Sampling 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.

    Mode of data collection

    Face-to-face [f2f]

    Response rate

    Response rate of the survey was 72.0%.

  6. i

    Afrobarometer Survey 2003, Round 2 - Zambia

    • catalog.ihsn.org
    Updated Jan 19, 2021
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    The Institute for Democracy in South Africa (IDASA) (2021). Afrobarometer Survey 2003, Round 2 - Zambia [Dataset]. http://catalog.ihsn.org/catalog/9416
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    Dataset updated
    Jan 19, 2021
    Dataset provided by
    Michigan State University (MSU)
    The Institute for Democracy in South Africa (IDASA)
    Ghana Centre for Democratic Development (CDD-Ghana)
    Time period covered
    2003
    Area covered
    Zambia
    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. The survey covered 16 countries in Round 2 (2002-2004).

    Geographic coverage

    National coverage

    Analysis unit

    Individuals

    Universe

    The sample universe for Afrobarometer surveys includes all citizens of voting age within the country. In other words, we exclude anyone who is not a citizen and anyone who has not attained this age (usually 18 years) on the day of the survey. Also excluded are areas determined to be either inaccessible or not relevant to the study, such as those experiencing armed conflict or natural disasters, as well as national parks and game reserves. As a matter of practice, we have also excluded people living in institutionalized settings, such as students in dormitories and persons in prisons or nursing homes.

    Kind of data

    Sample survey data [ssd]

    Sampling procedure

    Sampling 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.

    Mode of data collection

    Face-to-face [f2f]

  7. i

    Afrobarometer Survey 2009, Round 4 - Zambia

    • catalog.ihsn.org
    Updated Jan 16, 2021
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    The Institute for Democracy in South Africa (IDASA) (2021). Afrobarometer Survey 2009, Round 4 - Zambia [Dataset]. http://catalog.ihsn.org/catalog/9237
    Explore at:
    Dataset updated
    Jan 16, 2021
    Dataset provided by
    Michigan State University (MSU)
    The Institute for Democracy in South Africa (IDASA)
    Ghana Centre for Democratic Development (CDD-Ghana)
    Time period covered
    2009
    Area covered
    Zambia
    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. The survey covered 20 countries in Round 4 (2008-2009).

    Geographic coverage

    National coverage

    Analysis unit

    Individuals

    Universe

    The sample universe for Afrobarometer surveys includes all citizens of voting age within the country. In other words, we exclude anyone who is not a citizen and anyone who has not attained this age (usually 18 years) on the day of the survey. Also excluded are areas determined to be either inaccessible or not relevant to the study, such as those experiencing armed conflict or natural disasters, as well as national parks and game reserves. As a matter of practice, we have also excluded people living in institutionalized settings, such as students in dormitories and persons in prisons or nursing homes.

    Kind of data

    Sample survey data [ssd]

    Sampling procedure

    Sample size: 1200 Sampling frame: 2008 population projectsions from the Central Statistical Office based on a 2000 census. Sample universe: Citizens age 18 years or older, excluding institutions Sample design: Nationally representative, random, clustered, stratified, multistage, probability sample design. Stratification: Province and urban-rural distribution Stages: SSUs (Ward, rural areas only), PSUs (EAs), starting points, households and respondents. SSU/PSU selection: Probability Proportionate to Population Size (PPPS) Cluster size: Two PSUs per SSU (rural only), 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 males and females. Using respondents of appropriate gender listed, after which household member draws a numbered card to select individual.

    Mode of data collection

    Face-to-face [f2f]

    Response rate

    Response rate of the survey was 62.1%.

    Data appraisal

    Margin of error: +/- 3% with 95% confidence level.

  8. i

    Afrobarometer Survey 2014, Round 6 - Zambia

    • catalog.ihsn.org
    Updated Jan 16, 2021
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    University of Cape Town (UCT) (2021). Afrobarometer Survey 2014, Round 6 - Zambia [Dataset]. http://catalog.ihsn.org/catalog/9214
    Explore at:
    Dataset updated
    Jan 16, 2021
    Dataset provided by
    Michigan State University (MSU)
    University of Cape Town (UCT)
    Ghana Centre for Democratic Development (CDD-Ghana)
    Time period covered
    2014
    Area covered
    Zambia
    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, and Round 5 (2011-2013) 34 countries. The survey covered 36 countries in Round 6 (2014-2015).

    Geographic coverage

    National coverage

    Analysis unit

    Individual

    Universe

    The sample universe for Afrobarometer surveys includes all citizens of voting age within the country. In other words, we exclude anyone who is not a citizen and anyone who has not attained this age (usually 18 years) on the day of the survey. Also excluded are areas determined to be either inaccessible or not relevant to the study, such as those experiencing armed conflict or natural disasters, as well as national parks and game reserves. As a matter of practice, we have also excluded people living in institutionalized settings, such as students in dormitories and persons in prisons or nursing homes.

    Kind of data

    Sample survey data [ssd]

    Sampling procedure

    Sample size: 1,200 Sampling frame: 2010 Zambia Population and Housing Census. Sample universe: Citizens age 18 years or older, excluding institutions. Sample design: Nationally representative, random, clustered, stratified, multistage area probability sample. Stratification: Province, Ward (for rural areas only) and urban-rural 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 household member draws a numbered card to select individual.

    Mode of data collection

    Face-to-face [f2f]

    Research instrument

    The Afrobarometer Round 6 survey 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. About two-thirds of the items from the Round 5 questionnaire remain the same, and about one-third are new items. In the Round 6 questionnaire, five spaces are included for country-specific questions (CSQs), question 82 through 86.

    Response rate

    Response rate of the survey was 99.4%.

    Data appraisal

    Margin of error: +/- 3% with 95% confidence level.

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Institute for Empirical Research in Political Economy (IREEP) (2025). Afrobarometer Survey 2022 - Zambia [Dataset]. https://datacatalog.ihsn.org/catalog/12956
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Afrobarometer Survey 2022 - Zambia

Explore at:
Dataset updated
Jun 11, 2025
Dataset provided by
Institute for Justice and Reconciliationhttp://www.ijr.org.za/
Michigan State University (MSU)
University of Cape Town (UCT, South Africa)
Ghana Centre for Democratic Development (CDD)
Institute for Development Studies (IDS)
Institute for Empirical Research in Political Economy (IREEP)
Time period covered
2022
Area covered
Zambia
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, Round 7 (2016-2018) 34 countries, and Round 8 (2019-2021). The survey covered 39 countries in Round 9 (2021-2023).

Geographic coverage

National coverage

Analysis unit

Individual

Universe

Citizens of Zambia 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.

Zambia - Sample size: 1,200 - Sample design: Nationally representative, random, clustered, stratified, multi-stage area probability sample - Stratification: Region and urban-rural 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 - Weighting: Weighted to account for individual selection probabilities - Sampling frame: 2022 population projections produced by Zambia Statistics Agency (ZamStats) based on the 2010 Census of Population and Housing Sampling Frame

Mode of data collection

Face-to-face [f2f]

Research instrument

The Round 9 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

Response rate was 87%.

Sampling error estimates

The sample size yields country-level results with a margin of error of +/-3 percentage points at a 95% confidence level.

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