100+ datasets found
  1. Total population in Sub-Saharan Africa 2024

    • statista.com
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    Statista, Total population in Sub-Saharan Africa 2024 [Dataset]. https://www.statista.com/statistics/805605/total-population-sub-saharan-africa/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Africa
    Description

    This statistic shows the total population of Sub-Saharan Africa from 2014 to 2024. Sub-Saharan Africa includes all countries south of the Sahara desert. In 2024, the total population of Sub-Saharan Africa amounted to approximately 1.29 billion inhabitants.

  2. Age distribution of the population of Sub-Saharan Africa 2010-2024

    • statista.com
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    Statista, Age distribution of the population of Sub-Saharan Africa 2010-2024 [Dataset]. https://www.statista.com/statistics/1225664/age-distribution-of-the-population-of-sub-saharan-africa/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Africa
    Description

    In 2024, around ** percent of the total population of Sub-Saharan Africa was aged 15 to 64 years. Moreover, children younger than 15 years constituted nearly ** percent of the inhabitants. Overall, Africa has a young population. Only ***** percent of the individuals in the Sub-Saharan region were aged 65 years and older. As of 2023, Niger, Uganda, Angola, and Mali had a median age below 16.5 years, the lowest on the continent.

  3. F

    Population Growth for Developing Countries in Sub-Saharan Africa

    • fred.stlouisfed.org
    json
    Updated Jul 2, 2025
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    (2025). Population Growth for Developing Countries in Sub-Saharan Africa [Dataset]. https://fred.stlouisfed.org/series/SPPOPGROWSSA
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    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
    Sub-Saharan Africa
    Description

    Graph and download economic data for Population Growth for Developing Countries in Sub-Saharan Africa (SPPOPGROWSSA) from 1961 to 2024 about Sub-Saharan Africa, population, and rate.

  4. M

    Sub-Saharan Africa Population | Historical Data | Chart | 1950-2025

    • macrotrends.net
    csv
    Updated Oct 31, 2025
    + more versions
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    MACROTRENDS (2025). Sub-Saharan Africa Population | Historical Data | Chart | 1950-2025 [Dataset]. https://www.macrotrends.net/datasets/global-metrics/countries/ssf/sub-saharan-africa/population
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    csvAvailable download formats
    Dataset updated
    Oct 31, 2025
    Dataset authored and provided by
    MACROTRENDS
    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, 1950 - Dec 31, 2025
    Area covered
    Africa, Sub-Saharan Africa
    Description

    Historical dataset showing total population for Sub-Saharan Africa by year from 1950 to 2025.

  5. Human development index of sub-Saharan Africa 2000-2023

    • statista.com
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    Statista, Human development index of sub-Saharan Africa 2000-2023 [Dataset]. https://www.statista.com/statistics/1244480/human-development-index-of-sub-saharan-africa/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Africa
    Description

    In sub-Saharan Africa, a score of around 0.57 was achieved on the Human Development Index (HDI) in 2023. This represented a low level of human development. In 2018, the sub-region moved from being categorized as low human development to medium human development.

  6. Population growth in Sub-Saharan Africa 2024

    • statista.com
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    Statista, Population growth in Sub-Saharan Africa 2024 [Dataset]. https://www.statista.com/statistics/805619/population-growth-in-sub-saharan-africa/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Africa
    Description

    This statistic shows the population change in Sub-Saharan Africa from 2014 to 2024. Sub-Saharan Africa includes almost all countries south of the Saharan desert. In 2024, Sub-Saharan Africa's population increased by approximately 2.44 percent compared to the previous year.

  7. G

    Percent of world population in Sub Sahara Africa | TheGlobalEconomy.com

    • theglobaleconomy.com
    csv, excel, xml
    Updated Feb 15, 2021
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    Globalen LLC (2021). Percent of world population in Sub Sahara Africa | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/rankings/population_share/Sub-Sahara-Africa/
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    xml, csv, excelAvailable download formats
    Dataset updated
    Feb 15, 2021
    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
    World
    Description

    The average for 2023 based on 47 countries was 0.33 percent. The highest value was in Nigeria: 2.84 percent and the lowest value was in Sao Tome and Principe: 0 percent. The indicator is available from 1960 to 2023. Below is a chart for all countries where data are available.

  8. c

    Young people and mobile phones in sub-Saharan Africa

    • datacatalogue.cessda.eu
    Updated Sep 26, 2025
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    Porter, G; Hampshire, K; Abane, A; Munthali, A; Mashiri, M; deLannoy, A; Robson, E (2025). Young people and mobile phones in sub-Saharan Africa [Dataset]. http://doi.org/10.5255/UKDA-SN-852493
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    Dataset updated
    Sep 26, 2025
    Dataset provided by
    independent consultant
    Durham University
    University of Malawi
    University of Cape Town
    Cape Coast University
    University of Hull
    Authors
    Porter, G; Hampshire, K; Abane, A; Munthali, A; Mashiri, M; deLannoy, A; Robson, E
    Time period covered
    Aug 1, 2012 - Dec 31, 2015
    Area covered
    South Africa, Malawi, Ghana
    Variables measured
    Individual, Other
    Measurement technique
    Questionnaire Survey + Interviews and focus groups. Sampling- Selection of Study Settlements: The Survey was conducted in 24 field-sites across three countries (Ghana, Malawi, South Africa). In each country, two contrasting agro-ecological zones were selected:o Ghana: Coastal Zone (Central Region) and Forest Zone (Brong Ahafo Region);o Malawi: Lilongwe Plains (Central)l,termed Lilongwe Zone and Shire Highlands (South), termed Blantyre Zone;o South Africa: Eastern Cape Province (Coastal) and Gauteng/North-West Provinces (Savannah). In each agro-ecological zone, four low-income settlements were selected:o One urban [high density poor neighbourhood]o One peri-urbano One rural with basic services (i.e. primary school, clinic)o One remote rural, off-road, with no services.Quantitative data component: sampling within settlements: In each settlement, the survey was administered to a minimum of 187 respondents*:o 125 young people aged 9-18 years (in some sparsely-populated settlements the lower age limit was reduced to 7 or 8 years);o 63 young people aged 19-25 years. *N.B. In some of the more sparsely-populated rural settlements, it was not possible to achieve these sample sizes, in which case additional households were sampled from neighbouring settlements, where available. Within each settlement, survey enumerators walked randomly-selected transects across the settlement, stopping at every household along the way.o [N.B. This ‘pseudo-random’ method of household sampling was used because the ‘informal’ nature of study settlements precluded using standard household registration-type sampling techniques.] At each household, the household head (or another responsible adult) was asked to list all household members (present and absent) and their ages. In households with more than one eligible respondent (aged 9-25 y), one or two respondents were drawn by ballot:o In households with 1 or 2 people aged 9-25y, one respondent was selected.o In households with 3 or more people aged 9-25y, two respondents were selected.o When the selected respondent was absent, the enumerator would return later if possible to complete the questionnaire or interview. As far as possible, the fieldwork was conducted at times when young people were likely to at home: evenings, weekends and school holidays. In some cases, it was necessary to conduct additional interviews outside the home, usually at respondents’ farms or in school – this is indicated in the dataset. In each settlement, a running tally was kept of completed questionnaires by age and gender. Towards the end of the survey in each settlement, if a particular gender/age group was clearly underrepresented, enumerators were asked to over-sample that group in the remainder of households.Full details of final sample size by country, age group, gender and settlement type are available an uploaded file, titled ESRC UK Data Archive File InformationFile name: “Child Phones SPSS for archive March 2016”Qualitative data component: in each of the 24 study settlements in-depth interviews were conducted as follows: • Individual interviews, school children of varied ages, both genders; non-school-going children of varied ages, both genders; post-18 men; post-18 women; additionally, where feasible, school teachers (where schools present at the study site); health workers (where centres present at the study site); call-centre operators/other phone-related businesses where these were present in the settlement, some parents/carers.• Interviews based on young people's call records and contacts lists in their phones (Horst &Miller 2005), but only if information request accepted.• Life history-style interviews with older youths (mid-late 20s) [focus on personal phone history and impacts on livelihood and relationships]. • Focus groups [where feasible] (a) with boys and girls, young men and young women separately; no attempt to remove non-phone users from these groups. (b) with older people 40+ regarding their views of youth phone use.
    Description

    Quantitative and qualitative data sets for 24 sites across Ghana, Malawi and South Africa:
    a) SPSS dataset on young people’s use of mobile phones in Ghana, Malawi and South Africa.  4626 cases (young people aged 7-25 years): 1568 Ghana; 1544 Malawi; 1514 South Africa.  719 variables (+ 11 ‘navigation facilitators’) b) 1,620 Qualitative transcripts from interviews with people of diverse ages, 8y upwards: individual interviews [using either i.theme checklist or ii call register checklist]; focus group interviews [not all sites]: 50-80 transcripts for most sites.

    This research project, which commenced in August 2012, explored how the rapid expansion of mobile phone usage is impacting on young lives in sub-Saharan Africa. It builds directly on our previous research on children’s mobility within which baseline quantitative data and preliminary qualitative information was collected on mobile phone usage (2006-2010) across 24 research sites, as an adjunct to our wider study of children’s physical mobility and access to services.

    In this study our focus is specifically on mobile phones and we cover a much wider range of phone-related issues, including changes in gendered and age patterns of phone use over time; phone use in building social networks (for instance to support job search); impacts on education, livelihoods, health status, safety and surveillance, physical mobility and possible connections to migration, youth identity, and questions of exploitation and empowerment associated with mobile phones.

    Mixed-method, participatory youth-centred studies have been conducted in the same 24 sites as in our earlier work across Ghana, Malawi and South Africa (urban, peri-urban, rural, remote rural, in two agro-ecological zones per country). We have built on the baseline data for 9-18 year-olds gathered in 2006-2010, through repeat and extended studies, but also included additional studies with 19-25 year-olds (to capture changing usage and its impacts as our initial cohort move into their 20s).

  9. F

    Population Ages 15 to 64 for Developing Countries in Sub-Saharan Africa

    • fred.stlouisfed.org
    json
    Updated Oct 8, 2025
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    (2025). Population Ages 15 to 64 for Developing Countries in Sub-Saharan Africa [Dataset]. https://fred.stlouisfed.org/series/SPPOP1564TOZSSSA
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    jsonAvailable download formats
    Dataset updated
    Oct 8, 2025
    License

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

    Area covered
    Sub-Saharan Africa
    Description

    Graph and download economic data for Population Ages 15 to 64 for Developing Countries in Sub-Saharan Africa (SPPOP1564TOZSSSA) from 1960 to 2024 about Sub-Saharan Africa, 15 to 64 years, and population.

  10. F

    Population, Total: All Income Levels for Sub-Saharan Africa

    • fred.stlouisfed.org
    json
    Updated Jul 2, 2025
    + more versions
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    (2025). Population, Total: All Income Levels for Sub-Saharan Africa [Dataset]. https://fred.stlouisfed.org/series/SPPOPTOTLSSF
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    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 Population, Total: All Income Levels for Sub-Saharan Africa (SPPOPTOTLSSF) from 1960 to 2024 about Sub-Saharan Africa, income, and population.

  11. Population of Sub-Saharan Africa 2020, by religion

    • statista.com
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    Statista, Population of Sub-Saharan Africa 2020, by religion [Dataset]. https://www.statista.com/statistics/1282701/population-of-sub-saharan-africa-by-religion/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2020
    Area covered
    Africa
    Description

    Christianity is the main religion in Sub-Saharan Africa. As of 2020, over *** million people in the region were Christian. Muslims followed, amounting to around *** million. Moreover, folk religions counted over ** million adherents, while the unaffiliated were approximately ** million.

  12. M

    Sub-Saharan Africa Rural Population | Historical Data | Chart | 1960-2023

    • macrotrends.net
    csv
    Updated Oct 31, 2025
    + more versions
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    MACROTRENDS (2025). Sub-Saharan Africa Rural Population | Historical Data | Chart | 1960-2023 [Dataset]. https://www.macrotrends.net/datasets/global-metrics/countries/ssf/sub-saharan-africa/rural-population
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    csvAvailable download formats
    Dataset updated
    Oct 31, 2025
    Dataset authored and provided by
    MACROTRENDS
    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, 1960 - Dec 31, 2023
    Area covered
    Africa, Sub-Saharan Africa
    Description

    Historical dataset showing Sub-Saharan Africa rural population by year from 1960 to 2023.

  13. G

    Percent female population in Sub Sahara Africa | TheGlobalEconomy.com

    • theglobaleconomy.com
    csv, excel, xml
    Updated Feb 2, 2021
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    Globalen LLC (2021). Percent female population in Sub Sahara Africa | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/rankings/percent_female_population/Sub-Sahara-Africa/
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    excel, csv, xmlAvailable download formats
    Dataset updated
    Feb 2, 2021
    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, 2024
    Area covered
    World, Africa, Sub-Saharan Africa
    Description

    The average for 2024 based on 47 countries was 50.13 percent. The highest value was in Zimbabwe: 52.33 percent and the lowest value was in the Seychelles: 44.84 percent. The indicator is available from 1960 to 2024. Below is a chart for all countries where data are available.

  14. Population with access to clean drinking water in Sub-Saharan Africa 2022,...

    • statista.com
    Updated Nov 19, 2023
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    Statista (2023). Population with access to clean drinking water in Sub-Saharan Africa 2022, by country [Dataset]. https://www.statista.com/statistics/1423447/access-clean-drinking-water-sub-saharan-africa-by-country/
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    Dataset updated
    Nov 19, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    Africa
    Description

    Less than half the population in all the Sub-Saharan African countries included had access to safely managed drinking water in 2022. The share was lowest in the Central African Republic and Chad, where only six percent of the population had access to clean drinking water. Worldwide, Sub-Saharan Africa was the region with the lowest share of access to clean drinking water.

  15. M

    Sub-Saharan Africa Population Growth Rate | Historical Data | Chart |...

    • macrotrends.net
    csv
    Updated Oct 31, 2025
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    MACROTRENDS (2025). Sub-Saharan Africa Population Growth Rate | Historical Data | Chart | 1961-2023 [Dataset]. https://www.macrotrends.net/datasets/global-metrics/countries/ssf/sub-saharan-africa/population-growth-rate
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    csvAvailable download formats
    Dataset updated
    Oct 31, 2025
    Dataset authored and provided by
    MACROTRENDS
    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, 1961 - Dec 31, 2023
    Area covered
    Africa, Sub-Saharan Africa
    Description

    Historical dataset showing Sub-Saharan Africa population growth rate by year from 1961 to 2023.

  16. g

    GRID3 Sub-Saharan Africa Social Distancing Layers, Version 1.0

    • data.grid3.org
    • africageoportal.com
    • +1more
    Updated Aug 24, 2021
    + more versions
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    WorldPop (2021). GRID3 Sub-Saharan Africa Social Distancing Layers, Version 1.0 [Dataset]. https://data.grid3.org/maps/25b3e351f89a474095beda89d6c641c7
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    Dataset updated
    Aug 24, 2021
    Dataset authored and provided by
    WorldPop
    License

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

    Area covered
    Description

    Social distancing is a public health measure intended to reduce infectious disease transmission, by maintaining physical distance between individuals or households. In the context of the COVID-19 pandemic, populations in many countries around the world have been advised to maintain social distance (also referred to as physical distance), with distances of 6 feet or 2 metres commonly advised. Feasibility of social distancing is dependent on the availability of space and the number of people, which varies geographically. In locations where social distancing is difficult, a focus on alternative measures to reduce disease transmission may be needed. To help identify locations where social distancing is difficult, we have developed an ease of social distancing index. By index, we mean a composite measure, intended to highlight variations in ease of social distancing in urban settings, calculated based on the space available around buildings and estimated population density. Index values were calculated for small spatial units (vector polygons), typically bounded by roads, rivers or other features. This dataset provides index values for small spatial units within urban areas across Sub-Saharan Africa. Measures of population density were calculated from high-resolution gridded population datasets from WorldPop, and the space available around buildings was calculated using building footprint polygons derived from satellite imagery (Ecopia.AI and Maxar Technologies. 2020). These data were produced by the WorldPop Research Group at the University of Southampton. This work was part of the GRID3 project with funding from the Bill and Melinda Gates Foundation and the United Kingdom’s Department for International Development. Project partners included the United Nations Population Fund (UNFPA), Center for International Earth Science Information Network (CIESIN) in the Earth Institute at Columbia University, and the Flowminder Foundation.

  17. Sub-Saharan Economic Impacts of COVID-19

    • kaggle.com
    zip
    Updated Oct 5, 2020
    + more versions
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    Marília Prata (2020). Sub-Saharan Economic Impacts of COVID-19 [Dataset]. https://www.kaggle.com/mpwolke/cusersmarildownloadssubsaharancsv
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    zip(42867 bytes)Available download formats
    Dataset updated
    Oct 5, 2020
    Authors
    Marília Prata
    Area covered
    Sub-Saharan Africa
    Description

    Context

    This data looks at the impact of COVID-19 on employment, income, ability to pay expenses, and more in Côte D'Ivoire, Kenya, Mozambique Nigeria, and South Africa. https://data.humdata.org/dataset/economic-impact-of-covid-19-in-sub-saharan-africa

    Content

    Data is nationally representative by age, gender, and location, and is broken down by job type and formal or informal workers.

    Acknowledgements

    Roxana Elliot, Dataset' s author. https://data.humdata.org/dataset/economic-impact-of-covid-19-in-sub-saharan-africa

    Inspiration

    Covid-19 Pandemic.

  18. G

    Human development in Sub Sahara Africa | TheGlobalEconomy.com

    • theglobaleconomy.com
    csv, excel, xml
    Updated Feb 4, 2021
    + more versions
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    Globalen LLC (2021). Human development in Sub Sahara Africa | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/rankings/human_development/Sub-Sahara-Africa/
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    csv, xml, excelAvailable download formats
    Dataset updated
    Feb 4, 2021
    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, Africa, Sub-Saharan Africa
    Description

    The average for 2023 based on 46 countries was 0.569 points. The highest value was in the Seychelles: 0.848 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.

  19. V

    Data from: Human rights in the biotechnology era 1

    • odgavaprod.ogopendata.com
    • catalog.data.gov
    html
    Updated Sep 6, 2025
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    National Institutes of Health (2025). Human rights in the biotechnology era 1 [Dataset]. https://odgavaprod.ogopendata.com/dataset/human-rights-in-the-biotechnology-era-1
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    htmlAvailable download formats
    Dataset updated
    Sep 6, 2025
    Dataset provided by
    National Institutes of Health
    Description

    Backgound The concept of Human Rights has become the modern civilising standard to which all should aspire and indeed attain.

       Discussion
       In an era characterised by widening disparities in health and human rights across the world and spectacular advances in biotechnology it is necessary to reflect on the extent to which human rights considerations are selectively applied for the benefit of the most privileged people. Attention is drawn particularly to sub-Saharan Africa as a marginalised region at risk of further marginalisation if the power associated with the new biotechnology is not used more wisely than power has been used in the past. To rectify such deficiencies it is proposed that the moral agenda should be broadened and at the very least the concept of rights should be more closely integrated with duties
    
    
       Summary
       New forms of power being unleashed by biotechnology will have to be harnessed and used with greater wisdom than power has been used in the past. Widening disparities in the world are unlikely to be diminished merely by appealing to human rights. We recommend that a deeper understanding is required of the underlying causes of such disparities and that the moral discourse should be extended beyond human rights language.
    
  20. Share of human trafficking victims in Sub-Saharan Africa 2022, by gender

    • statista.com
    Updated Nov 28, 2025
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    Statista (2025). Share of human trafficking victims in Sub-Saharan Africa 2022, by gender [Dataset]. https://www.statista.com/statistics/1458544/share-of-human-trafficking-victims-in-africa-by-gender/
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    Dataset updated
    Nov 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    Africa
    Description

    As of 2022, the majority of detected victims of trafficking in persons in Sub-Saharan Africa were girls, with a share of ** percent. Women were the second most common victims of human trafficking at ** percent.

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Statista, Total population in Sub-Saharan Africa 2024 [Dataset]. https://www.statista.com/statistics/805605/total-population-sub-saharan-africa/
Organization logo

Total population in Sub-Saharan Africa 2024

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34 scholarly articles cite this dataset (View in Google Scholar)
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
Africa
Description

This statistic shows the total population of Sub-Saharan Africa from 2014 to 2024. Sub-Saharan Africa includes all countries south of the Sahara desert. In 2024, the total population of Sub-Saharan Africa amounted to approximately 1.29 billion inhabitants.

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