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.

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.

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.

Graph and download economic data for Population Growth: All Income Levels for Sub-Saharan Africa (SPPOPGROWSSF) from 1961 to 2024 about Sub-Saharan Africa, income, population, and rate.

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.

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

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.

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.

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.

The average for 2024 based on 47 countries was 53.38 percent. The highest value was in Burundi: 84.84 percent and the lowest value was in Gabon: 8.69 percent. The indicator is available from 1960 to 2024. Below is a chart for all countries where data are available.

In 2023, there were around 211 million children aged 0-4 years in Africa. In total, the population aged 17 years and younger amounted to approximately 680 million. In contrast, only approximately 52 million individuals were aged 65 years and older as of the same year. The youngest continent in the world Africa is the continent with the youngest population worldwide. As of 2024, around 40 percent of the population in Sub-Saharan Africa was aged 15 years and younger, compared to a global average of 25 percent. Although the median age on the continent has been increasing annually, it remains low at around 20 years. There are several reasons behind the low median age. One factor is the low life expectancy at birth: On average, the male and female populations in Africa live between 61 and 65 years, respectively. In addition, poor healthcare on the continent leads to high mortality, also among children and newborns, while the high fertility rate contributes to lowering the median age. Cross-country demographic differences Africa’s demographic characteristics are not uniform across the continent. The age structure of the population differs significantly from one country to another. For instance, Niger and Uganda have the lowest median age in Africa, at 15.1 and 16.1 years, respectively. Not surprisingly, these countries also register a high crude birth rate. On the other hand, North Africa is the region recording the highest life expectancy at birth, with Tunisia and Algeria leading the ranking in 2025.

The average for 2024 based on 47 countries was 46.62 percent. The highest value was in Gabon: 91.31 percent and the lowest value was in Burundi: 15.16 percent. The indicator is available from 1960 to 2024. Below is a chart for all countries where data are available.

Christianity is the main religion in Sub-Saharan Africa. As of 2020, ** percent of the region's population was Christian. Muslims followed, accounting for **** percent of the total population. In addition, *** percent of the people in Sub-Saharan Africa practiced traditional African religions, while the unaffiliated constituted three percent of the population.

Abstract

The authors combine data from 84 Demographic and Health Surveys from 46 countries to analyze trends and socioeconomic differences in adult mortality, calculating mortality based on the sibling mortality reports collected from female respondents aged 15-49.

The analysis yields four main findings. First, adult mortality is different from child mortality: while under-5 mortality shows a definite improving trend over time, adult mortality does not, especially in Sub-Saharan Africa. The second main finding is the increase in adult mortality in Sub-Saharan African countries. The increase is dramatic among those most affected by the HIV/AIDS pandemic. Mortality rates in the highest HIV-prevalence countries of southern Africa exceed those in countries that experienced episodes of civil war. Third, even in Sub-Saharan countries where HIV-prevalence is not as high, mortality rates appear to be at best stagnating, and even increasing in several cases. Finally, the main socioeconomic dimension along which mortality appears to differ in the aggregate is gender. Adult mortality rates in Sub-Saharan Africa have risen substantially higher for men than for women?especially so in the high HIV-prevalence countries. On the whole, the data do not show large gaps by urban/rural residence or by school attainment.

This paper is a product of the Human Development and Public Services Team, Development Research Group. It is part of a larger effort by the World Bank to provide open access to its research and make a contribution to development policy discussions around the world. Policy Research Working Papers are also posted on the Web at http://econ.worldbank.org.

Geographic coverage

We derive estimates of adult mortality from an analysis of Demographic and Health Survey (DHS) data from 46 countries, 33 of which are from Sub-Saharan Africa and 13 of which are from countries in other regions (Annex Table). Several of the countries have been surveyed more than once and we base our estimates on the total of 84 surveys that have been carried out (59 in Sub-Saharan Africa, 25 elsewhere).

The countries covered by DHS in Sub-Saharan Africa represent almost 90 percent of the region's population. Outside of Sub-Saharan Africa the DHS surveys we use cover a far smaller share of the population-even if this is restricted to countries whose GDP per capita never exceeds $10,000: overall about 14 percent of the population is covered by these countries, although this increases to 29 percent if China and India are excluded (countries for which we cannot calculate adult mortality using the DHS). It is therefore important to keep in mind that the sample of non-Sub-Saharan African countries we have cannot be thought of as "representative" of the rest of the world, or even the rest of the developing world.

Analysis unit

Country

Kind of data

Sample survey data [ssd]

Mode of data collection

Face-to-face [f2f]

Cleaning operations

In the course of carrying out this study, the authors created two databases of adult mortality estimates based on the original DHS datasets, both of which are publicly available for analysts who wish to carry out their own analysis of the data.

The naming conventions for the adult mortality-related are as follows. Variables are named:

GGG_MC_AAAA

GGG refers to the population subgroup. The values it can take, and the corresponding definitions are in the following table:

All - All Fem - Female Mal - Male Rur - Rural Urb - Urban Rurm - Rural/Male Urbm - Urban/Male Rurf - Rural/Female Urbf - Urban/Female Noed - No education Pri - Some or completed primary only Sec - At least some secondary education Noedm - No education/Male Prim - Some or completed primary only/Male Secm - At least some secondary education/Male Noedf - No education/Female Prif - Some or completed primary only/Female Secf - At least some secondary education/Female Rch - Rural as child Uch - Urban as child Rchm - Rural as child/Male Uchm - Urban as child/Male Rchf - Rural as child/Female Uchf - Urban as child/Female Edltp - Less than primary schooling Edpom - Primary or more schooling Edltpm - Less than primary schooling/Male Edpomm - Primary or more schooling/Male Edltpf - Less than primary schooling/Female Edpomf - Primary or more schooling/Female Edltpu - Less than primary schooling/Urban Edpomu - Primary or more schooling/Urban Edltpr - Less than primary schooling/Rural Edpomr - Primary or more schooling/Rural Edltpmu - Less than primary schooling/Male/Urban Edpommu - Primary or more schooling/Male/Urban Edltpmr - Less than primary schooling/Male/Rural Edpommr - Primary or more schooling/Male/Rural Edltpfu - Less than primary schooling/Female/Urban Edpomfu - Primary or more schooling/Female/Urban Edltpfr - Less than primary schooling/Female/Rural Edpomfr - Primary or more schooling/Female/Rural

M refers to whether the variable is the number of observations used to calculate the estimate (in which case M takes on the value "n") or whether it is a mortality estimate (in which case M takes on the value "m").

C refers to whether the variable is for the unadjusted mortality rate calculation (in which case C takes on the value "u") or whether it adjusts for the number of surviving female siblings (in which case C takes on the value "a").

AAAA refers to the age group that the mortality estimate is calculated for. It takes on the values: 1554 - Ages 15-54 1524 - Ages 15-24 2534 - Ages 25-34 3544 - Ages 35-44 4554 - Ages 45-54

Other variables that are in the databases are:

period - Period for which mortality rate is calculated (takes on the values 1975-79, 1980-84 … 2000-04) svycountry - Name of country for DHS countries ccode3 - Country code u5mr - Under-5 mortality (from World Development Indicators) cname - Country name gdppc - GDP per capita (constant 2000 US$) (from World Development Indicators) gdppcppp - GDP per capita PPP (constant 2005 intl $) (from World Development Indicators) pop - Population (from World Development Indicators) hivprev2001 - HIV prevalence in 2001 (from UNAIDS 2010) region - Region

Historical dataset showing Sub-Saharan Africa crime rate per 100K population by year from 2010 to 2021.

United States - Population Growth for Developing Countries in Sub-Saharan Africa was 2.49729 % Chg. at Annual Rate in January of 2023, according to the United States Federal Reserve. Historically, United States - Population Growth for Developing Countries in Sub-Saharan Africa reached a record high of 2.90713 in January of 1986 and a record low of 2.29933 in January of 1960. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Population Growth for Developing Countries in Sub-Saharan Africa - last updated from the United States Federal Reserve on December of 2025.

The average for 2024 based on 47 countries was 3.67 percent. The highest value was in Mauritius: 13.53 percent and the lowest value was in Zambia: 1.95 percent. The indicator is available from 1960 to 2024. Below is a chart for all countries where data are available.

United States - Population Growth: All Income Levels for Sub-Saharan Africa was 2.49704 % Chg. at Annual Rate in January of 2023, according to the United States Federal Reserve. Historically, United States - Population Growth: All Income Levels for Sub-Saharan Africa reached a record high of 2.90679 in January of 1986 and a record low of 2.31985 in January of 1960. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Population Growth: All Income Levels for Sub-Saharan Africa - last updated from the United States Federal Reserve on November of 2025.

Comprehensive statistical dataset for Sub-Saharan Africa including demographic, economic, and social indicators for the year 2025.

In 2022, around 46 percent of the male population in Sub-Saharan Africa used the internet. In contrast, the internet usage rate was lower among women, as approximately 34 percent of the female population used the internet.