100+ datasets found
  1. T

    South Africa - Urban Population (% Of Total)

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jul 25, 2013
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    TRADING ECONOMICS (2013). South Africa - Urban Population (% Of Total) [Dataset]. https://tradingeconomics.com/south-africa/urban-population-percent-of-total-wb-data.html
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    csv, json, xml, excelAvailable download formats
    Dataset updated
    Jul 25, 2013
    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
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    South Africa
    Description

    Urban population (% of total population) in South Africa was reported at 69.3 % in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. South Africa - Urban population (% of total) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

  2. Urbanization in South Africa 2023

    • statista.com
    Updated Jul 2, 2025
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    Statista (2025). Urbanization in South Africa 2023 [Dataset]. https://www.statista.com/statistics/455931/urbanization-in-south-africa/
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    Dataset updated
    Jul 2, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    South Africa
    Description

    In 2023, over 68.82 percent of South Africa's total population lived in urban areas and cities. Urbanization defines the share of urban population from the total population of a country. Just like urbanization, the population density within the nation has risen, reaching 46 inhabitants per square kilometer, meaning more people are sharing less space. Many opportunities for work and leisure can be found in the urban locations of South Africa, and as such the five largest municipalities each now have over three million residents. Facing its economic strengths and drawbacks South Africa is a leading services destination, as it is one of the most industrialized countries in the continent of Africa. The majority of the country’s gross domestic product comes from the services sector, where more than 70 percent of the employed population works. Unemployment is seen as a critical indicator of the state of an economy, and for South Africa, a high rate of over 25 percent could indicate a need for a shift in economic policy. As of 2017, South Africa was one of the twenty countries with the highest rate of unemployment in the world.

  3. T

    South Africa - Urban Population

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 28, 2017
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    TRADING ECONOMICS (2017). South Africa - Urban Population [Dataset]. https://tradingeconomics.com/south-africa/urban-population-wb-data.html
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    json, csv, excel, 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
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    South Africa
    Description

    Urban population in South Africa was reported at 44355700 in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. South Africa - Urban population - actual values, historical data, forecasts and projections were sourced from the World Bank on August of 2025.

  4. South Africa ZA: Urban Population: % of Total Population

    • ceicdata.com
    Updated Jan 15, 2025
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    CEICdata.com (2025). South Africa ZA: Urban Population: % of Total Population [Dataset]. https://www.ceicdata.com/en/south-africa/population-and-urbanization-statistics/za-urban-population--of-total-population
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    Dataset updated
    Jan 15, 2025
    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
    Dec 1, 2006 - Dec 1, 2017
    Area covered
    South Africa
    Variables measured
    Population
    Description

    South Africa ZA: Urban Population: % of Total Population data was reported at 65.850 % in 2017. This records an increase from the previous number of 65.341 % for 2016. South Africa ZA: Urban Population: % of Total Population data is updated yearly, averaging 51.239 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 65.850 % in 2017 and a record low of 46.619 % in 1960. South Africa ZA: Urban Population: % of Total Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s South Africa – Table ZA.World Bank.WDI: Population and Urbanization Statistics. Urban population refers to people living in urban areas as defined by national statistical offices. The data are collected and smoothed by United Nations Population Division.; ; United Nations Population Division. World Urbanization Prospects: 2018 Revision.; Weighted average;

  5. S

    South Africa ZA: Urban Population Growth

    • ceicdata.com
    Updated Mar 15, 2023
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    CEICdata.com (2023). South Africa ZA: Urban Population Growth [Dataset]. https://www.ceicdata.com/en/south-africa/population-and-urbanization-statistics/za-urban-population-growth
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    Dataset updated
    Mar 15, 2023
    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 1, 2006 - Dec 1, 2017
    Area covered
    South Africa
    Variables measured
    Population
    Description

    South Africa ZA: Urban Population Growth data was reported at 2.021 % in 2017. This records a decrease from the previous number of 2.090 % for 2016. South Africa ZA: Urban Population Growth data is updated yearly, averaging 2.837 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 3.548 % in 1960 and a record low of 1.930 % in 2008. South Africa ZA: Urban Population Growth data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s South Africa – Table ZA.World Bank.WDI: Population and Urbanization Statistics. Urban population refers to people living in urban areas as defined by national statistical offices. It is calculated using World Bank population estimates and urban ratios from the United Nations World Urbanization Prospects.; ; World Bank staff estimates based on the United Nations Population Division's World Urbanization Prospects: 2018 Revision.; Weighted average;

  6. T

    South Africa - Urban Population Growth (annual %)

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Aug 11, 2013
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    TRADING ECONOMICS (2013). South Africa - Urban Population Growth (annual %) [Dataset]. https://tradingeconomics.com/south-africa/urban-population-growth-annual-percent-wb-data.html
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    json, excel, xml, csvAvailable download formats
    Dataset updated
    Aug 11, 2013
    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
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    South Africa
    Description

    Urban population growth (annual %) in South Africa was reported at 1.9431 % in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. South Africa - Urban population growth (annual %) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

  7. S

    South Africa Percent urban population - data, chart | TheGlobalEconomy.com

    • theglobaleconomy.com
    csv, excel, xml
    Updated Jan 19, 2015
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    Globalen LLC (2015). South Africa Percent urban population - data, chart | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/South-Africa/Percent_urban_population/
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    xml, excel, csvAvailable download formats
    Dataset updated
    Jan 19, 2015
    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, 2023
    Area covered
    South Africa
    Description

    South Africa: Percent urban population: The latest value from 2023 is 68.82 percent, an increase from 68.33 percent in 2022. In comparison, the world average is 61.36 percent, based on data from 196 countries. Historically, the average for South Africa from 1960 to 2023 is 54.71 percent. The minimum value, 46.62 percent, was reached in 1960 while the maximum of 68.82 percent was recorded in 2023.

  8. Urbanization in Africa 2024, by country

    • statista.com
    Updated Jul 24, 2025
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    Statista (2025). Urbanization in Africa 2024, by country [Dataset]. https://www.statista.com/statistics/1223543/urbanization-rate-in-africa-by-country/
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    Dataset updated
    Jul 24, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    Africa
    Description

    In 2024, 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 particularly rapid in Burundi, Uganda, and Tanzania. In these countries, the urban population grew by over five percent in 2023 compared to the previous year. However, in 39 countries on the continent, the urban population growth was over three percent. 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.

  9. Share of urban population living in slums in Southern Africa 2022, by...

    • statista.com
    Updated Jun 3, 2025
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    Statista (2025). Share of urban population living in slums in Southern Africa 2022, by country [Dataset]. https://www.statista.com/statistics/1551431/southern-africa-share-of-urban-population-living-in-slum-by-country/
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    Dataset updated
    Jun 3, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    Africa
    Description

    In 2022, Mozambique had the highest share of its urban population living in slums or informal settlements within Southern Africa, with 55 percent. Zimbabwe followed close behind with a share of 54.9 percent. On the other hand, Eswatini (formerly known as Swaziland) had the lowest share within the region at 17 percent.

  10. T

    South Africa - Population In The Largest City

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 29, 2017
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    TRADING ECONOMICS (2017). South Africa - Population In The Largest City [Dataset]. https://tradingeconomics.com/south-africa/population-in-the-largest-city-percent-of-urban-population-wb-data.html
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    excel, json, xml, csvAvailable download formats
    Dataset updated
    May 29, 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
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    South Africa
    Description

    Population in the largest city (% of urban population) in South Africa was reported at 14.26 % in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. South Africa - Population in the largest city - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

  11. Largest cities in South Africa 2023

    • statista.com
    Updated Jun 3, 2025
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    Statista (2025). Largest cities in South Africa 2023 [Dataset]. https://www.statista.com/statistics/1127496/largest-cities-in-south-africa/
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    Dataset updated
    Jun 3, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    South Africa
    Description

    South Africa is the sixth African country with the largest population, counting approximately 60.5 million individuals as of 2021. In 2023, the largest city in South Africa was Cape Town. The capital of Western Cape counted 3.4 million inhabitants, whereas South Africa's second largest city was Durban (eThekwini Municipality), with 3.1 million inhabitants. Note that when observing the number of inhabitants by municipality, Johannesburg is counted as largest city/municipality of South Africa.

    From four provinces to nine provinces

    Before Nelson Mandela became president in 1994, the country had four provinces, Cape of Good Hope, Natal, Orange Free State, and Transvaal and 10 “homelands” (also called Bantustans). The four larger regions were for the white population while the homelands for its black population. This system was dismantled following the new constitution of South Africa in 1996 and reorganized into nine provinces. Currently, Gauteng is the most populated province with around 15.9 million people residing there, followed by KwaZulu-Natal with 11.68 million inhabiting the province. As of 2022, Black African individuals were almost 81 percent of the total population in the country, while colored citizens followed amounting to around 5.34 million.

    A diverse population

    Although the majority of South Africans are identified as Black, the country’s population is far from homogenous, with different ethnic groups usually residing in the different “homelands”. This can be recognizable through the various languages used to communicate between the household members and externally. IsiZulu was the most common language of the nation with around a quarter of the population using it in- and outside of households. IsiXhosa and Afrikaans ranked second and third with roughly 15 percent and 12 percent, respectively.

  12. South Africa ZA: Population in Largest City: as % of Urban Population

    • ceicdata.com
    Updated Jan 15, 2025
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    CEICdata.com (2025). South Africa ZA: Population in Largest City: as % of Urban Population [Dataset]. https://www.ceicdata.com/en/south-africa/population-and-urbanization-statistics/za-population-in-largest-city-as--of-urban-population
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    Dataset updated
    Jan 15, 2025
    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
    Dec 1, 2006 - Dec 1, 2017
    Area covered
    South Africa
    Variables measured
    Population
    Description

    South Africa ZA: Population in Largest City: as % of Urban Population data was reported at 26.327 % in 2017. This records an increase from the previous number of 26.291 % for 2016. South Africa ZA: Population in Largest City: as % of Urban Population data is updated yearly, averaging 23.218 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 26.327 % in 2017 and a record low of 18.806 % in 1991. South Africa ZA: Population in Largest City: as % of Urban Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s South Africa – Table ZA.World Bank: Population and Urbanization Statistics. Population in largest city is the percentage of a country's urban population living in that country's largest metropolitan area.; ; United Nations, World Urbanization Prospects.; Weighted Average;

  13. T

    South Africa - Population In Urban Agglomerations Of More Than 1 Million

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 29, 2017
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    TRADING ECONOMICS (2017). South Africa - Population In Urban Agglomerations Of More Than 1 Million [Dataset]. https://tradingeconomics.com/south-africa/population-in-urban-agglomerations-of-more-than-1-million-wb-data.html
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    xml, csv, excel, jsonAvailable download formats
    Dataset updated
    May 29, 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
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    South Africa
    Description

    Population in urban agglomerations of more than 1 million in South Africa was reported at 22957674 in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. South Africa - Population in urban agglomerations of more than 1 million - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

  14. T

    South Africa - People Practicing Open Defecation, Urban

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 28, 2017
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    TRADING ECONOMICS (2017). South Africa - People Practicing Open Defecation, Urban [Dataset]. https://tradingeconomics.com/south-africa/people-practicing-open-defecation-urban-percent-of-urban-population-wb-data.html
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    json, xml, excel, csvAvailable 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
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    South Africa
    Description

    People practicing open defecation, urban (% of urban population) in South Africa was reported at 0.21826 % in 2022, according to the World Bank collection of development indicators, compiled from officially recognized sources. South Africa - People practicing open defecation, urban - actual values, historical data, forecasts and projections were sourced from the World Bank on August of 2025.

  15. T

    South Africa - Access To Electricity, Urban

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jun 4, 2017
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    TRADING ECONOMICS (2017). South Africa - Access To Electricity, Urban [Dataset]. https://tradingeconomics.com/south-africa/access-to-electricity-urban-percent-of-urban-population-wb-data.html
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    xml, csv, excel, jsonAvailable download formats
    Dataset updated
    Jun 4, 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
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    South Africa
    Description

    Access to electricity, urban (% of urban population) in South Africa was reported at 90.9 % in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. South Africa - Access to electricity, urban - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

  16. w

    Dataset of proportion of seats held by women in national parliaments and...

    • workwithdata.com
    Updated Apr 9, 2025
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    Work With Data (2025). Dataset of proportion of seats held by women in national parliaments and urban population living in areas where elevation is below 5 meters of countries per year in South Africa (Historical) [Dataset]. https://www.workwithdata.com/datasets/countries-yearly?col=country%2Cdate%2Curban_population_under_5m%2Cwomen_parliament_seats_pct&f=1&fcol0=country&fop0=%3D&fval0=South+Africa
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    Dataset updated
    Apr 9, 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
    South Africa
    Description

    This dataset is about countries per year in South Africa. It has 64 rows. It features 4 columns: country, urban population living in areas where elevation is below 5 meters , and proportion of seats held by women in national parliaments.

  17. S

    South Africa ZA: Population Living in Slums: % of Urban Population

    • ceicdata.com
    Updated Jan 15, 2025
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    CEICdata.com (2025). South Africa ZA: Population Living in Slums: % of Urban Population [Dataset]. https://www.ceicdata.com/en/south-africa/population-and-urbanization-statistics/za-population-living-in-slums--of-urban-population
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    Dataset updated
    Jan 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
    Dec 1, 1990 - Dec 1, 2014
    Area covered
    South Africa
    Variables measured
    Population
    Description

    South Africa ZA: Population Living in Slums: % of Urban Population data was reported at 23.000 % in 2014. This stayed constant from the previous number of 23.000 % for 2009. South Africa ZA: Population Living in Slums: % of Urban Population data is updated yearly, averaging 28.700 % from Dec 1990 (Median) to 2014, with 7 observations. The data reached an all-time high of 46.200 % in 1990 and a record low of 23.000 % in 2014. South Africa ZA: Population Living in Slums: % of Urban Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s South Africa – Table ZA.World Bank: Population and Urbanization Statistics. Population living in slums is the proportion of the urban population living in slum households. A slum household is defined as a group of individuals living under the same roof lacking one or more of the following conditions: access to improved water, access to improved sanitation, sufficient living area, and durability of housing.; ; UN HABITAT, retrieved from the United Nation's Millennium Development Goals database. Data are available at : http://mdgs.un.org/; Weighted Average;

  18. Distribution of households in urban & rural South Africa 2022, by household...

    • statista.com
    Updated Jun 3, 2025
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    Statista (2025). Distribution of households in urban & rural South Africa 2022, by household size [Dataset]. https://www.statista.com/statistics/1114300/distribution-of-households-in-urban-and-rural-south-africa-by-household-size/
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    Dataset updated
    Jun 3, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    South Africa
    Description

    As of 2022, households comprising two to three members were more common in urban areas, with just over 39 percent, than in rural areas, where 30.6 percent amounted to households of that size. Families inhabiting six or more people, however, amounted to 19.3 percent in rural areas, being roughly twice the amount of those in urban areas.

  19. w

    Dataset of individuals using the Internet and urban population living in...

    • workwithdata.com
    Updated Apr 9, 2025
    + more versions
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    Work With Data (2025). Dataset of individuals using the Internet and urban population living in areas where elevation is below 5 meters of countries per year in South Africa (Historical) [Dataset]. https://www.workwithdata.com/datasets/countries-yearly?col=country%2Cdate%2Cinternet_pct%2Curban_population_under_5m&f=1&fcol0=country&fop0=%3D&fval0=South+Africa
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    Dataset updated
    Apr 9, 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
    South Africa
    Description

    This dataset is about countries per year in South Africa. It has 64 rows. It features 4 columns: country, urban population living in areas where elevation is below 5 meters , and individuals using the Internet.

  20. i

    Afrobarometer Survey 2005-2006 - Africa

    • dev.ihsn.org
    Updated Apr 25, 2019
    + more versions
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    Institute for Democracy in South Africa (IDASA) (2019). Afrobarometer Survey 2005-2006 - Africa [Dataset]. https://dev.ihsn.org/nada/catalog/study/AFR_2005_AFB-18_v01_M
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    Dataset updated
    Apr 25, 2019
    Dataset provided by
    Michigan State University (MSU)
    Institute for Democracy in South Africa (IDASA)
    Ghana Centre for Democratic Development (CDD-Ghana)
    Time period covered
    2005 - 2006
    Area covered
    Africa
    Description

    Abstract

    The Afrobarometer project assesses attitudes and public opinion on democracy, markets, and civil society in several sub-Saharan African.This dataset was compiled from the studies in Round 3 of the Afrobarometer survey, conducted from 2005-2006 in 18 African countries (Benin, Botswana, Cape Verde, Ghana, Kenya, Lesotho, Madagascar, Malawi, Mali, Mozambique, Namibia, Nigeria, Senegal, South Africa, Tanzania, Uganda, Zambia, Zimbabwe).

    Geographic coverage

    The Afrobarometer surveys have national coverage

    Botswana Lesotho Malawi Namibia South Africa Zambia Zimbabwe Ghana Mali Nigeria Tanzania Uganda Cape Verde Mozambique Senegal Kenya Benin Madagascar

    Analysis unit

    Basic units of analysis that the study investigates include: individuals and groups

    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.

    What to do about areas experiencing political unrest? On the one hand we want to include them because they are politically important. On the other hand, we want to avoid stretching out the fieldwork over many months while we wait for the situation to settle down. It was agreed at the 2002 Cape Town Planning Workshop that it is difficult to come up with a general rule that will fit all imaginable circumstances. We will therefore make judgments on a case-by-case basis on whether or not to proceed with fieldwork or to exclude or substitute areas of conflict. National Partners are requested to consult Core Partners on any major delays, exclusions or substitutions of this sort.

    Kind of data

    Sample survey data [ssd]

    Sampling procedure

    A new sample has to be drawn for each round of Afrobarometer surveys. Whereas the standard sample size for Round 3 surveys will be 1200 cases, a larger sample size will be required in societies that are extremely heterogeneous (such as South Africa and Nigeria), where the sample size will be increased to 2400. Other adaptations may be necessary within some countries to account for the varying quality of the census data or the availability of census maps.

    The sample is designed as 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 selection for interview. We strive to reach this objective by (a) strictly applying random selection methods at every stage of sampling and by (b) applying sampling with probability proportionate to population size wherever possible. A randomly selected sample of 1200 cases allows inferences to national adult populations with a margin of sampling error of no more than plus or minus 2.5 percent with a confidence level of 95 percent. If the sample size is increased to 2400, the confidence interval shrinks to plus or minus 2 percent.

    Sample 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.

    What to do about areas experiencing political unrest? On the one hand we want to include them because they are politically important. On the other hand, we want to avoid stretching out the fieldwork over many months while we wait for the situation to settle down. It was agreed at the 2002 Cape Town Planning Workshop that it is difficult to come up with a general rule that will fit all imaginable circumstances. We will therefore make judgments on a case-by-case basis on whether or not to proceed with fieldwork or to exclude or substitute areas of conflict. National Partners are requested to consult Core Partners on any major delays, exclusions or substitutions of this sort.

    Sample Design

    The sample design is a clustered, stratified, multi-stage, area probability sample.

    To repeat the main sampling principle, the objective of the design is to give every sample element (i.e. adult citizen) an equal and known chance of being chosen for inclusion in the sample. We strive to reach this objective by (a) strictly applying random selection methods at every stage of sampling and by (b) applying sampling with probability proportionate to population size wherever possible.

    In a series of stages, geographically defined sampling units of decreasing size are selected. To ensure that the sample is representative, the probability of selection at various stages is adjusted as follows:

    The sample is stratified by key social characteristics in the population such as sub-national area (e.g. region/province) and residential locality (urban or rural). The area stratification reduces the likelihood that distinctive ethnic or language groups are left out of the sample. And the urban/rural stratification is a means to make sure that these localities are represented in their correct proportions. Wherever possible, and always in the first stage of sampling, random sampling is conducted with probability proportionate to population size (PPPS). The purpose is to guarantee that larger (i.e., more populated) geographical units have a proportionally greater probability of being chosen into the sample. The sampling design has four stages

    A first-stage to stratify and randomly select primary sampling units;

    A second-stage to randomly select sampling start-points;

    A third stage to randomly choose households;

    A final-stage involving the random selection of individual respondents

    We shall deal with each of these stages in turn.

    STAGE ONE: Selection of Primary Sampling Units (PSUs)

    The primary sampling units (PSU's) are the smallest, well-defined geographic units for which reliable population data are available. In most countries, these will be Census Enumeration Areas (or EAs). Most national census data and maps are broken down to the EA level. In the text that follows we will use the acronyms PSU and EA interchangeably because, when census data are employed, they refer to the same unit.

    We strongly recommend that NIs use official national census data as the sampling frame for Afrobarometer surveys. Where recent or reliable census data are not available, NIs are asked to inform the relevant Core Partner before they substitute any other demographic data. Where the census is out of date, NIs should consult a demographer to obtain the best possible estimates of population growth rates. These should be applied to the outdated census data in order to make projections of population figures for the year of the survey. It is important to bear in mind that population growth rates vary by area (region) and (especially) between rural and urban localities. Therefore, any projected census data should include adjustments to take such variations into account.

    Indeed, we urge NIs to establish collegial working relationships within professionals in the national census bureau, not only to obtain the most recent census data, projections, and maps, but to gain access to sampling expertise. NIs may even commission a census statistician to draw the sample to Afrobarometer specifications, provided that provision for this service has been made in the survey budget.

    Regardless of who draws the sample, the NIs should thoroughly acquaint themselves with the strengths and weaknesses of the available census data and the availability and quality of EA maps. The country and methodology reports should cite the exact census data used, its known shortcomings, if any, and any projections made from the data. At minimum, the NI must know the size of the population and the urban/rural population divide in each region in order to specify how to distribute population and PSU's in the first stage of sampling. National investigators should obtain this written data before they attempt to stratify the sample.

    Once this data is obtained, the sample population (either 1200 or 2400) should be stratified, first by area (region/province) and then by residential locality (urban or rural). In each case, the proportion of the sample in each locality in each region should be the same as its proportion in the national population as indicated by the updated census figures.

    Having stratified the sample, it is then possible to determine how many PSU's should be selected for the country as a whole, for each region, and for each urban or rural locality.

    The total number of PSU's to be selected for the whole country is determined by calculating the maximum degree of clustering of interviews one can accept in any PSU. Because PSUs (which are usually geographically small EAs) tend to be socially homogenous we do not want to select too many people in any one place. Thus, the Afrobarometer has established a standard of no more than 8 interviews per PSU. For a sample size of 1200, the sample must therefore contain 150 PSUs/EAs (1200 divided by 8). For a sample size of 2400, there must be 300 PSUs/EAs.

    These PSUs should then be allocated

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TRADING ECONOMICS (2013). South Africa - Urban Population (% Of Total) [Dataset]. https://tradingeconomics.com/south-africa/urban-population-percent-of-total-wb-data.html

South Africa - Urban Population (% Of Total)

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Dataset updated
Jul 25, 2013
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
Jan 1, 1976 - Dec 31, 2025
Area covered
South Africa
Description

Urban population (% of total population) in South Africa was reported at 69.3 % in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. South Africa - Urban population (% of total) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

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