100+ datasets found
  1. Digital Quality of Life index in Africa 2024, by country

    • statista.com
    Updated Mar 13, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). Digital Quality of Life index in Africa 2024, by country [Dataset]. https://www.statista.com/statistics/1337969/africa-digital-quality-of-life-index-by-country/
    Explore at:
    Dataset updated
    Mar 13, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    Africa
    Description

    As of 2024, South Africa and Morocco scored highest in the Digital Quality of Life index in Africa, with 0.45 points each. Mauritius and Egypt followed closely with scores of 0.43 points and 0.42 points, respectively. African countries ranked significantly lower compared to other regions, with South Africa ranking 66th, while DR Congo came last in the 120th place.

  2. Most expensive cities to live in Africa as of 2024

    • ai-chatbox.pro
    • statista.com
    Updated Sep 30, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Saifaddin Galal (2024). Most expensive cities to live in Africa as of 2024 [Dataset]. https://www.ai-chatbox.pro/?_=%2Ftopics%2F12726%2Furbanization-in-africa%2F%23XgboD02vawLYpGJjSPEePEUG%2FVFd%2Bik%3D
    Explore at:
    Dataset updated
    Sep 30, 2024
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Saifaddin Galal
    Area covered
    Africa
    Description

    Addis Ababa, in Ethiopia, ranked as the most expensive city to live in Africa as of 2024, considering consumer goods prices. The Ethiopian capital obtained an index score of 46.7, followed by Harare, in Zimbabwe, with 37.4. Morocco and South Africa were the countries with the most representatives among the 15 cities with the highest cost of living in Africa.

  3. T

    CONSUMER PRICE INDEX CPI by Country in AFRICA

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 30, 2017
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    TRADING ECONOMICS (2017). CONSUMER PRICE INDEX CPI by Country in AFRICA [Dataset]. https://tradingeconomics.com/country-list/consumer-price-index-cpi?continent=africa
    Explore at:
    csv, excel, json, xmlAvailable download formats
    Dataset updated
    May 30, 2017
    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
    2025
    Area covered
    Africa
    Description

    This dataset provides values for CONSUMER PRICE INDEX CPI reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

  4. G

    Life expectancy, male in Africa | TheGlobalEconomy.com

    • theglobaleconomy.com
    csv, excel, xml
    Updated Aug 17, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Globalen LLC (2024). Life expectancy, male in Africa | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/rankings/life_expectancy_male/Africa/
    Explore at:
    csv, excel, xmlAvailable download formats
    Dataset updated
    Aug 17, 2024
    Dataset authored and provided by
    Globalen LLC
    License

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

    Time period covered
    Dec 31, 1960 - Dec 31, 2022
    Area covered
    World, Africa
    Description

    The average for 2022 based on 53 countries was 61.21 years. The highest value was in Algeria: 75.85 years and the lowest value was in Lesotho: 50.32 years. The indicator is available from 1960 to 2022. Below is a chart for all countries where data are available.

  5. T

    LIVING WAGE INDIVIDUAL by Country in AFRICA

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 27, 2017
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    TRADING ECONOMICS (2017). LIVING WAGE INDIVIDUAL by Country in AFRICA [Dataset]. https://tradingeconomics.com/country-list/living-wage-individual?continent=africa
    Explore at:
    json, excel, csv, xmlAvailable download formats
    Dataset updated
    May 27, 2017
    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
    2025
    Area covered
    Africa
    Description

    This dataset provides values for LIVING WAGE INDIVIDUAL reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

  6. Digital Quality of Life index in South Africa 2021-2022

    • statista.com
    Updated Jun 3, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). Digital Quality of Life index in South Africa 2021-2022 [Dataset]. https://www.statista.com/statistics/1337991/digital-quality-of-life-index-in-south-africa/
    Explore at:
    Dataset updated
    Jun 3, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    South Africa
    Description

    South Africa had the highest Digital Quality of Life index score in Africa in 2021 and 2022. In 2022, the country registered 0.41 points, ranking it 66th of 117 analyzed countries. In the previous year, the score was higher, at 0.49 points. Nonetheless, it ranked three places lower than in 2022.

  7. F

    Life Expectancy at Birth, Total for Developing Countries in Sub-Saharan...

    • fred.stlouisfed.org
    json
    Updated Jul 2, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2025). Life Expectancy at Birth, Total for Developing Countries in Sub-Saharan Africa [Dataset]. https://fred.stlouisfed.org/series/SPDYNLE00INSSA
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 2, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    Africa, Sub-Saharan Africa
    Description

    Graph and download economic data for Life Expectancy at Birth, Total for Developing Countries in Sub-Saharan Africa (SPDYNLE00INSSA) from 1960 to 2023 about Sub-Saharan Africa, life expectancy, life, and birth.

  8. T

    LIVING WAGE FAMILY by Country in AFRICA

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jun 23, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    TRADING ECONOMICS (2025). LIVING WAGE FAMILY by Country in AFRICA [Dataset]. https://tradingeconomics.com/country-list/living-wage-family/1000?continent=africa
    Explore at:
    csv, excel, json, xmlAvailable download formats
    Dataset updated
    Jun 23, 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
    2025
    Area covered
    Africa
    Description

    This dataset provides values for LIVING WAGE FAMILY reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

  9. Afrobarometer Survey 2019-2021, Merged 34 Country - Africa

    • datafirst.uct.ac.za
    Updated Oct 9, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    University of Cape Town (UCT) (2024). Afrobarometer Survey 2019-2021, Merged 34 Country - Africa [Dataset]. https://www.datafirst.uct.ac.za/dataportal/index.php/catalog/991
    Explore at:
    Dataset updated
    Oct 9, 2024
    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)
    Time period covered
    2019 - 2021
    Area covered
    Africa
    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 countires 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), 36 countries in Round 6 (2014-2015), and 34 countries in Round 7 (2016-2018). Round 8 covered 34 African countries. The 34 countries covered in Round 8 (2019-2021) are:

    Angola, Benin, Botswana, Burkina Faso, Cabo Verde, Cameroon, Côte d'Ivoire, eSwatini, Ethiopia, Gabon, Gambia, Ghana, Guinea, Kenya, Lesotho, Liberia, Malawi, Mali, Mauritius, Morocco, Mozambique, Namibia, Niger, Nigeria, Senegal, Sierra Leone, South Africa, Sudan, Tanzania, Togo, Tunisia, Uganda, Zambia and Zimbabwe.

    Geographic coverage

    The survey has national coverage in the following 34 African countries: Angola, Benin, Botswana, Burkina Faso, Cabo Verde, Cameroon, Côte d'Ivoire, eSwatini, Ethiopia, Gabon, Gambia, Ghana, Guinea, Kenya, Lesotho, Liberia, Malawi, Mali, Mauritius, Morocco, Mozambique, Namibia, Niger, Nigeria, Senegal, Sierra Leone, South Africa, Sudan, Tanzania, Togo, Tunisia, Uganda, Zambia and Zimbabwe.

    Analysis unit

    Households and 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

    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 institutionalised 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 interviewers 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.

    Data weights For some national surveys, data are weighted to correct for over or under-sampling or for household size. "Withinwt" should be turned on for all national -level descriptive statistics in countries that contain this weighting variable. It is included as the last variable in the data set, with details described in the codebook. For merged data sets, "Combinwt" should be turned on for cross-national comparisons of descriptive statistics. Note: this weighting variable standardizes each national sample as if it were equal in size.

    Further information on sampling protocols, including full details of the methodologies used for each stage of sample selection, can be found in Section 5 of the Afrobarometer Round 5 Survey Manual

    Mode of data collection

    Face-to-face

    Research instrument

    The questionnaire for Round 3 addressed country-specific issues, but many of the same questions were asked across surveys. The survey instruments were not standardized across all countries and the following features should be noted:

    • In the seven countries that originally formed the Southern Africa Barometer (SAB) - Botswana, Lesotho, Malawi, Namibia, South Africa, Zambia and Zimbabwe - a standardized questionnaire was used, so question wording and response categories are the generally the same for all of these countries. The questionnaires in Mali and Tanzania were also essentially identical (in the original English version). Ghana, Uganda and Nigeria each had distinct questionnaires.

    • This merged dataset combines, into a single variable, responses from across these different countries where either identical or very similar questions were used, or where conceptually equivalent questions can be found in at least nine of the different countries. For each variable, the exact question text from each of the countries or groups of countries ("SAB" refers to the Southern Africa Barometer countries) is listed.

    • Response options also varied on some questions, and where applicable, these differences are also noted.

  10. Human development index of Africa 2022, by country

    • statista.com
    Updated Jan 13, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). Human development index of Africa 2022, by country [Dataset]. https://www.statista.com/statistics/1244496/human-development-index-of-africa-by-country/
    Explore at:
    Dataset updated
    Jan 13, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    Africa
    Description

    Compared to other African countries, Seychelles scored the highest in the Human Development Index (HDI) in 2022. The country also ranked 67th globally, as one of the countries with a very high human development. This was followed by Mauritius, Libya, Egypt, and Tunisia, with scores ranging from 0.80 to 0.73 points. On the other hand, Central African Republic, South Sudan, and Somalia were among the countries in the region with the lowest index scores, indicating a low level of human development.

  11. G

    Human development by country, around the world | TheGlobalEconomy.com

    • theglobaleconomy.com
    csv, excel, xml
    Updated Jun 3, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Globalen LLC (2025). Human development by country, around the world | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/rankings/human_development/
    Explore at:
    excel, csv, xmlAvailable download formats
    Dataset updated
    Jun 3, 2025
    Dataset authored and provided by
    Globalen LLC
    License

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

    Time period covered
    Dec 31, 1980 - Dec 31, 2023
    Area covered
    World, World
    Description

    The average for 2023 based on 184 countries was 0.744 points. The highest value was in Iceland: 0.972 points and the lowest value was in South Africa: 0.388 points. The indicator is available from 1980 to 2023. Below is a chart for all countries where data are available.

  12. w

    Dataset of fertility rate and life expectancy at birth of countries in...

    • workwithdata.com
    Updated May 8, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Work With Data (2025). Dataset of fertility rate and life expectancy at birth of countries in Eastern Africa [Dataset]. https://www.workwithdata.com/datasets/countries?col=country%2Cfertility_rate%2Clife_expectancy&f=1&fcol0=region&fop0=%3D&fval0=Eastern+Africa
    Explore at:
    Dataset updated
    May 8, 2025
    Dataset authored and provided by
    Work With Data
    License

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

    Area covered
    Africa, East Africa
    Description

    This dataset is about countries in Eastern Africa. It has 17 rows. It features 3 columns: fertility rate, and life expectancy at birth.

  13. T

    GDP PER CAPITA by Country in AFRICA

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 27, 2017
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    TRADING ECONOMICS (2017). GDP PER CAPITA by Country in AFRICA [Dataset]. https://tradingeconomics.com/country-list/gdp-per-capita?continent=africa
    Explore at:
    json, csv, xml, excelAvailable download formats
    Dataset updated
    May 27, 2017
    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
    2025
    Area covered
    Africa
    Description

    This dataset provides values for GDP PER CAPITA reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

  14. G

    Life expectancy, female in Sub Sahara Africa | TheGlobalEconomy.com

    • theglobaleconomy.com
    csv, excel, xml
    Updated Jul 30, 2023
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Globalen LLC (2023). Life expectancy, female in Sub Sahara Africa | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/rankings/life_expectancy_female/Sub-Sahara-Africa/
    Explore at:
    excel, csv, xmlAvailable download formats
    Dataset updated
    Jul 30, 2023
    Dataset authored and provided by
    Globalen LLC
    License

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

    Time period covered
    Dec 31, 1960 - Dec 31, 2022
    Area covered
    World, Africa, Sub-Saharan Africa
    Description

    The average for 2022 based on 47 countries was 64.57 years. The highest value was in Cape Verde: 79.01 years and the lowest value was in Nigeria: 53.97 years. The indicator is available from 1960 to 2022. Below is a chart for all countries where data are available.

  15. Happiness index in Africa 2021-2023, by country

    • statista.com
    Updated Dec 23, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2024). Happiness index in Africa 2021-2023, by country [Dataset]. https://www.statista.com/statistics/1243225/happiness-index-in-africa/
    Explore at:
    Dataset updated
    Dec 23, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Africa
    Description

    Libya was ranked the happiest country in Africa, according to the World Happiness Report for 2024. This nation scored 5.87 points on a scale from 0 to 10 and ranked 66th among 143 countries globally. Worldwide, Finland is considered to be the happiest country. The World Happiness Report is a landmark survey of the state of global happiness that ranks countries by how happy their citizens perceive themselves to be. The measurement of subjective well-being relies on three main indicators: life evaluations, positive emotions, and negative emotions.

  16. South Africa Index: FTSE/JSE: Life Insurance

    • ceicdata.com
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    CEICdata.com, South Africa Index: FTSE/JSE: Life Insurance [Dataset]. https://www.ceicdata.com/en/south-africa/johannesburg-stock-exchange-index/index-ftsejse-life-insurance
    Explore at:
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Jul 1, 2017 - Jun 1, 2018
    Area covered
    South Africa
    Variables measured
    Securities Exchange Index
    Description

    South Africa Index: FTSE/JSE: Life Insurance data was reported at 38,766.237 01Jan2006=100 in Jun 2018. This records a decrease from the previous number of 41,915.176 01Jan2006=100 for May 2018. South Africa Index: FTSE/JSE: Life Insurance data is updated monthly, averaging 20,105.690 01Jan2006=100 from Jan 2006 (Median) to Jun 2018, with 150 observations. The data reached an all-time high of 46,575.849 01Jan2006=100 in Feb 2018 and a record low of 8,244.450 01Jan2006=100 in Feb 2009. South Africa Index: FTSE/JSE: Life Insurance data remains active status in CEIC and is reported by Johannesburg Stock Exchange. The data is categorized under Global Database’s South Africa – Table ZA.Z001: Johannesburg Stock Exchange: Index.

  17. T

    MINIMUM WAGES by Country in AFRICA

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 28, 2017
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    TRADING ECONOMICS (2017). MINIMUM WAGES by Country in AFRICA [Dataset]. https://tradingeconomics.com/country-list/minimum-wages?continent=africa
    Explore at:
    excel, csv, json, xmlAvailable download formats
    Dataset updated
    May 28, 2017
    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
    2025
    Area covered
    Africa
    Description

    This dataset provides values for MINIMUM WAGES reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

  18. Living Conditions Survey 2014-2015 - South Africa

    • datafirst.uct.ac.za
    Updated Mar 30, 2020
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statistics South Africa (2020). Living Conditions Survey 2014-2015 - South Africa [Dataset]. https://www.datafirst.uct.ac.za/dataportal/index.php/catalog/608
    Explore at:
    Dataset updated
    Mar 30, 2020
    Dataset authored and provided by
    Statistics South Africahttp://www.statssa.gov.za/
    Time period covered
    2014 - 2015
    Area covered
    South Africa
    Description

    Abstract

    South Africa's first Living Conditions Survey (LCS) was conducted by Statistics South Africa over a period of one year between 13 October 2014 and 25 October 2015. The main aim of this survey is to provide data that will contribute to a better understanding of living conditions and poverty in South Africa for monitoring levels of poverty over time. Data was collected from 27 527 households across the country. The survey used a combination of the diary and recall methods. Households were asked to record their daily acquisitions in diaries provided by Statistics SA for a period of a month. The survey also employed a household questionnaire to collect data on household expenditure, subjective poverty, and income.

    Geographic coverage

    The survey had national coverage.

    Analysis unit

    Households and individuals

    Universe

    The sample for the survey included all domestic households, holiday homes and all households in workers' residences, such as mining hostels and dormitories for workers, but excludes institutions such as hospitals, prisons, old-age homes, student hostels, and dormitories for scholars, boarding houses, hotels, lodges and guesthouses.

    Kind of data

    Sample survey data [ssd]

    Sampling procedure

    The Living Conditions Survey 2014-2015 sample was based on the LCS 2008-2009 master sample of 3 080 PSUs. However, there were 40 PSUs with no DU sample, thus the sample of 30 818 DUs was selected from only 3 040 PSUs. Amongst the PSUs with no DU sample, 25 PSUs were non-respondent because 19 PSUs were not captured on the dwelling frame, and 6 PSUs had an insufficient DU count. The remaining 15 PSUs were vacant and therefore out-of-scope. Among the PSUs with a DU sample, 2 974 PSUs were respondent, 50 PSUs were non-respondent and 16 PSUs were out-of-scope. The scope of the Master Sample (MS) is national coverage of all households in South Africa. It was designed to cover all households living in private dwelling units and workers living in workers' quarters in the country.

    Mode of data collection

    Face-to-face [f2f]

    Research instrument

    The Living Conditions Survey 2014-2015 used three data collection instruments, namely a household questionnaire, a weekly diary, and the summary questionnaire. The household questionnaire was a booklet of questions administered to respondents during the course of the survey month. The weekly diary was a booklet that was left with the responding household to track all acquisitions made by the household during the survey month. The household (after being trained by the Interviewer) was responsible for recording all their daily acquisitions, as well as information about where they purchased the item and the purpose of the item. A household completed a different diary for each of the four weeks of the survey month. Interviewers then assigned codes for the classification of individual consumption according to purpose (COICOP) to items recorded in the weekly diary, using a code list provided to them.

    Data appraisal

    Anthropometric data collected during the survey are not included in the dataset.

  19. Urbanization in Africa 2023, by country

    • statista.com
    • ai-chatbox.pro
    Updated Jul 1, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). Urbanization in Africa 2023, by country [Dataset]. https://www.statista.com/statistics/1223543/urbanization-rate-in-africa-by-country/
    Explore at:
    Dataset updated
    Jul 1, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    Africa
    Description

    In 2023, Gabon had the highest urbanization rate in Africa, with over 90 percent of the population living in urban areas. Libya and Djibouti followed at around 82 percent and 79 percent, respectively. On the other hand, many countries on the continent had the majority of the population residing in rural areas. As of 2023, urbanization in Malawi, Rwanda, Niger, and Burundi was below 20 percent. A growing urban population On average, the African urbanization rate stood at approximately 45 percent in 2023. The number of people living in urban areas has been growing steadily since 2000 and is forecast to increase further in the coming years. The urbanization process is being particularly rapid in Burundi, Uganda, Niger, and Tanzania. In these countries, the urban population grew by over 4.2 percent in 2020 compared to the previous year. The most populous cities in Africa Africa’s largest city is Lagos in Nigeria, counting around nine million people. It is followed by Kinshasa in the Democratic Republic of the Congo and Cairo in Egypt, each with over seven million inhabitants. Moreover, other cities on the continent are growing rapidly. The population of Bujumbura in Burundi will increase by 123 percent between 2020 and 2035, registering the highest growth rate on the continent. Other fast-growing cities are Zinder in Niger, Kampala in Uganda, and Kabinda in the Democratic Republic of the Congo.

  20. w

    Correlation of life expectancy at birth and fertility rate by country in...

    • workwithdata.com
    Updated May 8, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Work With Data (2025). Correlation of life expectancy at birth and fertility rate by country in Eastern Africa [Dataset]. https://www.workwithdata.com/charts/countries?chart=scatter&f=1&fcol0=region&fop0=%3D&fval0=Eastern+Africa&x=fertility_rate&y=life_expectancy
    Explore at:
    Dataset updated
    May 8, 2025
    Dataset authored and provided by
    Work With Data
    License

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

    Area covered
    East Africa, Africa
    Description

    This scatter chart displays life expectancy at birth (year) against fertility rate (births per woman) in Eastern Africa. The data is about countries.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Statista (2025). Digital Quality of Life index in Africa 2024, by country [Dataset]. https://www.statista.com/statistics/1337969/africa-digital-quality-of-life-index-by-country/
Organization logo

Digital Quality of Life index in Africa 2024, by country

Explore at:
Dataset updated
Mar 13, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
2024
Area covered
Africa
Description

As of 2024, South Africa and Morocco scored highest in the Digital Quality of Life index in Africa, with 0.45 points each. Mauritius and Egypt followed closely with scores of 0.43 points and 0.42 points, respectively. African countries ranked significantly lower compared to other regions, with South Africa ranking 66th, while DR Congo came last in the 120th place.

Search
Clear search
Close search
Google apps
Main menu