Somalia was the African country with the highest fertility rate in 2023. There, each woman had an average of around 6.1 children in her reproductive years. Fertility levels in Africa remain high despite a steady decline The fertility rate in Africa has gradually decreased since 2000 and is projected to decline further in the coming years. Factors including improved socio-economic conditions and educational opportunities, lower infant mortality, and decreasing poverty levels have driven the declining birth rate on the continent. Nevertheless, Africa remains the continent with the highest fertility rate worldwide. As of 2023, women in Africa had an average of 4.07 children in their reproductive years. Africa was the only continent registering a fertility rate higher than the global average, which was set at 2.4 children per woman. Worldwide, the continent also had the highest adolescent fertility rate as of 2022, with West and Central Africa leading with 105 births per 1,000 girls aged 15 to 19 years. Africa’s population keeps growing According to projections, over 46 million births will be registered in Africa in 2023. Contrary to the declining fertility rate, the absolute number of births on the continent will continue to grow in the coming years to reach around 49.4 million by 2030. In general, Africa’s population – amounting to over 1.48 billion inhabitants as of 2023 – is forecast to increase considerably and achieve 2.5 billion in 2050. Countries such as Niger, Angola, and Equatorial Guinea are key drivers of population growth in Africa, registering the highest average population growth rate on the continent between 2020 and 2025. For instance, in that period, Niger’s population was forecast to expand by 3.7 percent each year.

In 2024, Niger recorded the highest crude birth rates in Africa, with 46.6 births recorded per 1,000 inhabitants. Angola, followed with 41.1 births per 1,000 population, whereas the rate in Benin and Mali stood above 40. In Niger, Uganda, Angola, and Mali, the population's median age is under 17 years old. Especially, Niger ranks as the country with the youngest population in Africa and worldwide, with a median age of 15.1 years.

In 2024, the fertility rate in Africa was *** children per woman. The average number of newborn infants per woman on the continent decreased compared to 2000, when women had approximately **** children throughout their reproductive years. By 2030, fertility in Africa is projected to decline to around *** births per woman, yet it will remain high. The highest fertility rate worldwide Despite its gradually declining rate, fertility in Africa is the highest in the world. In 2023, the average fertility rate on the continent stood at **** children per woman, compared to a global average of **** births per woman. In contrast, Europe and North America were the continents with the lowest proportion of newborns, each registering a fertility rate below two children per woman. Additionally, Africa records the highest fertility rate among the young female population aged 15 to 19 years. In 2022, West and Central Africa had an adolescent fertility rate of nearly *** children per 1,000 girls, the highest value worldwide. Lower fertility in Northern Africa Fertility levels vary significantly across Africa. In 2023, Somalia, Chad, Niger, the Democratic Republic of Congo, and the Central African Republic were the countries with the highest fertility rates on the continent. In those countries, women had an average of over *** children in their reproductive years. The number of adolescent girls giving birth also differed within Africa. For instance, the adolescent fertility rate in North Africa stood at around **** children per 1,000 young women in 2023. On the other hand, Sub-Saharan Africa registered a higher rate of approximately **** children per 1,000 girls as of the same year. In general, higher poverty levels, inadequate social and health conditions, and increased infant mortality are some main drivers of higher fertility rates.

Graph and download economic data for Fertility Rate, Total: All Income Levels for Sub-Saharan Africa (SPDYNTFRTINSSF) from 1960 to 2023 about Sub-Saharan Africa, fertility, income, and rate.

The average for 2022 based on 53 countries was 29.76 births per 1000 people. The highest value was in the Central African Republic: 45.42 births per 1000 people and the lowest value was in Mauritius: 9.6 births per 1000 people. The indicator is available from 1960 to 2023. Below is a chart for all countries where data are available.

Historical dataset showing Sub-Saharan Africa birth rate by year from 1950 to 2025.

Niger had the highest birth rate in the world in 2024, with a birth rate of 46.6 births per 1,000 inhabitants. Angola, Benin, Mali, and Uganda followed. Except for Afghanistan, all 20 countries with the highest birth rates in the world were located in Sub-Saharan Africa. High infant mortality The reasons behind the high birth rates in many Sub-Saharan African countries are manyfold, but a major reason is that infant mortality remains high on the continent, despite decreasing steadily over the past decades, resulting in high birth rates to counter death rates. Moreover, many nations in Sub-Saharan Africa are highly reliant on small-scale farming, meaning that more hands are of importance. Additionally, polygamy is not uncommon in the region, and having many children is often seen as a symbol of status. Fastest-growing populations As the high fertility rates coincide with decreasing death rates, countries in Sub-Saharan Africa have the highest population growth rates in the world. As a result, Africa's population is forecast to increase from 1.4 billion in 2022 to over 3.9 billion by 2100.

The average for 2022 based on 53 countries was 3.91 births per woman. The highest value was in Somalia: 6.26 births per woman and the lowest value was in Mauritius: 1.32 births per woman. The indicator is available from 1960 to 2023. Below is a chart for all countries where data are available.

Graph and download economic data for Crude Birth Rate for Developing Countries in Sub-Saharan Africa (SPDYNCBRTINSSA) from 1960 to 2023 about Sub-Saharan Africa, birth, crude, and rate.

This scatter chart displays birth rate (per 1,000 people) against fertility rate (births per woman) in Western Africa. The data is about countries.

Historical dataset showing Africa fertility rate by year from 1950 to 2025.

The average for 2022 based on 196 countries was 18.19 births per 1000 people. The highest value was in the Central African Republic: 45.42 births per 1000 people and the lowest value was in Hong Kong: 4.4 births per 1000 people. The indicator is available from 1960 to 2023. Below is a chart for all countries where data are available.

Graph and download economic data for Crude Birth Rate for South Africa (SPDYNCBRTINZAF) from 1960 to 2023 about birth, South Africa, crude, and rate.

Historical dataset showing Sub-Saharan Africa fertility rate by year from 1950 to 2025.

This statistic shows the fertility rate in Sub-Saharan Africa from 2013 to 2023. The fertility rate is the average number of children born to one woman while being of child-bearing age. Sub-Saharan Africa includes almost all countries south of the Sahara desert. In 2023, the fertility rate in Sub-Saharan Africa amounted to 4.33 children per woman.

A flexible model to reconstruct education-specific fertility rates: Sub-saharan Africa case study

The fertility rates are consistent with the United Nation World Population Prospects (UN WPP) 2022 fertility rates.

The Bayesian model developed to reconstruct the fertility rates using Demographic and Health Surveys and the UN WPP is published in a working paper.

Abstract

The future world population growth and size will be largely determined by the pace of fertility decline in sub-Saharan Africa. Correct estimates of education-specific fertility rates are crucial for projecting the future population. Yet, consistent cross-country comparable estimates of education-specific fertility for sub-Saharan African countries are still lacking. We propose a flexible Bayesian hierarchical model to reconstruct education-specific fertility rates by using the patchy Demographic and Health Surveys (DHS) data and the United Nations’ (UN) reliable estimates of total fertility rates (TFR). Our model produces estimates that match the UN TFR to different extents (in other words, estimates of varying levels of consistency with the UN). We present three model specifications: consistent but not identical with the UN, fully-consistent (nearly identical) with the UN, and consistent with the DHS. Further, we provide a full time series of education-specific TFR estimates covering five-year periods between 1980 and 2014 for 36 sub-Saharan African countries. The results show that the DHS-consistent estimates are usually higher than the UN-fully-consistent ones. The differences between the three model estimates vary substantially in size across countries, yielding 1980-2014 fertility trends that differ from each other mostly in level only but in some cases also in direction.

Funding

The data set are part of the BayesEdu Project at Wittgenstein Centre for Demography and Global Human Capital (IIASA, OeAW, University of Vienna) funded from the “Innovation Fund Research, Science and Society” by the Austrian Academy of Sciences (ÖAW).

We provide education-specific total fertility rates (ESTFR) from three model specifications: (1) estimated TFR consistent but not identical with the TFR estimated by the UN (“Main model (UN-consistent)”; (2) estimated TFR fully consistent (nearly identical) with the TFR estimated by the UN ( “UN-fully -consistent”, and (3) estimated TFR consistent only with the TFR estimated by the DHS ( “DHS-consistent”).

For education- and age-specific fertility rates that are UN-fully consistent, please see https://doi.org/10.5281/zenodo.8182960

Variables

Country: Country names

Education: Four education levels, No Education, Primary Education, Secondary Education and Higher Education.

Year: Five-year periods between 1980 and 2015.

ESTFR: Median education-specific total fertility rate estimate

sd: Standard deviation

Upp50: 50% Upper Credible Interval

Lwr50: 50% Lower Credible Interval

Upp80: 80% Upper Credible Interval

Lwr80: 80% Lower Credible Interval

Model: Three model specifications as explained above and in the working paper. DHS-consistent, Main model (UN-consistent) and UN-fully consistent.

List of countries:

Angola, Benin, Burkina Faso, Burundi, Cote D'Ivoire, Cameroon, Central African Republic, Chad, Comoros, Congo, Democratic Republic of Congo, Eswatini, Ethiopia, Gabon, Gambia, Ghana, Guinea, Kenya, Lesotho, Liberia, Madagascar, Malawi, Mali, Mozambique, Namibia, Niger, Nigeria, Rwanda, Senegal, Sierra Leone, South Africa, Tanzania, Togo, Uganda, Zambia, Zimbabwe

Actual value and historical data chart for South Africa Birth Rate Crude Per 1 000 People

Historical dataset showing South Africa birth rate by year from 1950 to 2025.

Graph and download economic data for Crude Birth Rate: All Income Levels for Middle East and North Africa (SPDYNCBRTINMEA) from 1960 to 2023 about North Africa, Middle East, birth, crude, income, and rate.

This scatter chart displays birth rate (per 1,000 people) against fertility rate (births per woman) in Middle Africa. The data is about countries.