In 2022, the average crude death rate in Africa was *** deaths per 1,000 people. The mortality rate on the continent has decreased gradually since the 2000s. In comparison, the death rate stood at roughly ** deaths per 1,000 population in 2000. Decreasing mortality, together with high fertility and rising life expectancy, is a key driver of Africa's population growth.

Abstract

This cumulative dataset contains statistics on mortality and causes of death in South Africa covering the period 1997-2020. The mortality and causes of death dataset is part of a regular series published by Stats SA, based on data collected through the civil registration system. This dataset is the most recent cumulative round in the series which began with the separately available dataset Recorded Deaths 1996.

The main objective of this dataset is to outline emerging trends and differentials in mortality by selected socio-demographic and geographic characteristics for deaths that occurred in the registered year and over time. Reliable mortality statistics, are the cornerstone of national health information systems, and are necessary for population health assessment, health policy and service planning; and programme evaluation. They are essential for studying the occurrence and distribution of health-related events, their determinants and management of related health problems. These data are particularly critical for monitoring the Sustainable Development Goals (SDGs) and Agenda 2063 which share the same goal for a high standard of living and quality of life, sound health and well-being for all and at all ages. Mortality statistics are also required for assessing the impact of non-communicable diseases (NCD's), emerging infectious diseases, injuries and natural disasters.

Geographic coverage

The survey has national coverage.

Analysis unit

Individuals

Universe

This dataset is based on information on mortality and causes of death from the South African civil registration system. It covers all death notification forms from the Department of Home Affairs for deaths that occurred in 1997-2020, that reached Stats SA during the 2021/2022 processing phase.

Kind of data

Administrative records

Mode of data collection

Other

Research instrument

The registration of deaths is captured using two instruments: form BI-1663 and form DHA-1663 (Notification/Register of death/stillbirth).

Data appraisal

This cumulative dataset is part of a regular series published by Stats SA and includes all previous rounds in the series (excluding Recorded Deaths 1996). Stats SA only includes one variable to classify the occupation group of the deceased (OccupationGrp) in the current round (1997-2020). Prior to 2016, Stats SA included both occupation group (OccupationGrp) and industry classifcation (Industry) in all previous rounds. Therefore, DataFirst has made the 1997-2015 cumulative round available as a separately downloadable dataset which includes both occupation group and industry classification of the deceased spanning the years 1997-2015.

In 2025, the mortality rate among children under the age of one in Africa was around ** deaths per thousand live births. Infant mortality on the continent decreased significantly compared to 2000, when approximately ** newborn infants out of a thousand died before one year of age. Many African nations rank among the countries with the highest infant mortality rate worldwide.

South Africa ZA: Mortality Rate: Under-5: per 1000 Live Births data was reported at 43.300 Ratio in 2016. This records a decrease from the previous number of 44.100 Ratio for 2015. South Africa ZA: Mortality Rate: Under-5: per 1000 Live Births data is updated yearly, averaging 66.000 Ratio from Dec 1974 (Median) to 2016, with 43 observations. The data reached an all-time high of 125.500 Ratio in 1974 and a record low of 43.300 Ratio in 2016. South Africa ZA: Mortality Rate: Under-5: per 1000 Live Births 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: Health Statistics. Under-five mortality rate is the probability per 1,000 that a newborn baby will die before reaching age five, if subject to age-specific mortality rates of the specified year.; ; Estimates Developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted average; Given that data on the incidence and prevalence of diseases are frequently unavailable, mortality rates are often used to identify vulnerable populations. Moreover, they are among the indicators most frequently used to compare socioeconomic development across countries. Under-five mortality rates are higher for boys than for girls in countries in which parental gender preferences are insignificant. Under-five mortality captures the effect of gender discrimination better than infant mortality does, as malnutrition and medical interventions have more significant impacts to this age group. Where female under-five mortality is higher, girls are likely to have less access to resources than boys.

The average for 2022 based on 53 countries was 8.2 deaths per 1000 people. The highest value was in Lesotho: 14.07 deaths per 1000 people and the lowest value was in Algeria: 4.33 deaths per 1000 people. The indicator is available from 1960 to 2022. Below is a chart for all countries where data are available.

The child mortality rate in Africa has steadily declined over the past seven decades. In 2023, it reached 63 deaths per thousand births. In 1950, child mortality was significantly higher, estimated at 327 deaths per thousand births, meaning that almost one-third of all children born in these years did not make it to their fifth birthday. While the reduction rate varies on a country-by-country basis, the overall decline can be attributed in large part to the expansion of healthcare services, improvements in nutrition and access to clean drinking water, and the implementation of large-scale immunization campaigns across the continent. The temporary slowdown in the 1980s and 1990s has been attributed in part to rapid urbanization of many parts of the continent that coincided with poor economic performance, resulting in the creation of overcrowded slums with poor access to health and sanitation services. Despite significant improvements in the continent-wide averages, there remains a significant imbalance in the continent, with Sub-Saharan countries experiencing much higher child mortality rates than those in North Africa.

South Africa ZA: Mortality Rate Attributed to Unintentional Poisoning: Male: per 100,000 Male Population data was reported at 1.300 Ratio in 2016. This records a decrease from the previous number of 1.400 Ratio for 2015. South Africa ZA: Mortality Rate Attributed to Unintentional Poisoning: Male: per 100,000 Male Population data is updated yearly, averaging 1.300 Ratio from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 1.400 Ratio in 2015 and a record low of 1.100 Ratio in 2005. South Africa ZA: Mortality Rate Attributed to Unintentional Poisoning: Male: per 100,000 Male 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: Health Statistics. Mortality rate attributed to unintentional poisonings is the number of male deaths from unintentional poisonings in a year per 100,000 male population. Unintentional poisoning can be caused by household chemicals, pesticides, kerosene, carbon monoxide and medicines, or can be the result of environmental contamination or occupational chemical exposure.; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;

Graph and download economic data for Infant Mortality Rate: All Income Levels for Middle East and North Africa (SPDYNIMRTINMEA) from 1990 to 2023 about North Africa, Middle East, mortality, infant, income, and rate.

The statistic shows the death rate in Sub-Saharan Africa from 2013 to 2023. Sub-Saharan Africa includes almost all countries south of the Sahara desert. In 2023, there were about **** deaths per 1,000 inhabitants in Sub-Saharan Africa.

Death rate, crude (per 1,000 people) in South Africa was reported at 9.239 % in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. South Africa - Death rate, crude - actual values, historical data, forecasts and projections were sourced from the World Bank on June of 2025.

UNICEF's country profile for South Africa, including under-five mortality rates, child health, education and sanitation data.

The average for 2022 based on 53 countries was 7 deaths per 1000 births. The highest value was in Niger: 20 deaths per 1000 births and the lowest value was in Algeria: 1 deaths per 1000 births. The indicator is available from 1990 to 2022. Below is a chart for all countries where data are available.

Graph and download economic data for Infant Mortality Rate for Developing Countries in Sub-Saharan Africa (SPDYNIMRTINSSA) from 1990 to 2023 about Sub-Saharan Africa, mortality, infant, and rate.

UNICEF's country profile for Central African Republic, including under-five mortality rates, child health, education and sanitation data.

Morbidity and mortality of children

Abstract

This dataset contains statistics on deaths in South Africa in 2009. The registration of deaths in South Africa is regulated by the Births and Deaths Registration Act, 51 of 1992. The South African Department of Home Affairs (DHA) is responsible for the registration of deaths in South Africa. The data is collected with two instruments: The death register and the medical certificate in respect of death. The staff of the DHA Registrar of Deaths section fills in the former while the medical practitioner attending to the death completes the latter. Causes of death are coded by the Department of Home Affairs according to the tenth revision of the International Classification of Diseases (ICD-10) ICD-10, as required by the World Health Organization for their member countries. The data is used by the Department of Home Affairs to update the Population Register. The forms are sent to Statistics South Africa (Stats SA) for their use for statistical purposes. From the two forms sent to Stats SA, the following data items of the deceased are extracted: place of residence, place of death, date of death, month and year of registration, sex, marital status, occupation, underlying cause of death, whether or not the death was certified by a medical practitioner, and whether or not the deceased died in a health institution or nursing home. From 1991 death notifications do not require data on population group, and therefore this dataset includes death data for all population groups. This dataset excludes 2010 deaths that were not registered, and late registrations which would not have been available to Stats SA in time for the production of the dataset.

Geographic coverage

National coverage

Analysis unit

Individuals

Universe

The data covers all deaths that occurred in 2009 and registered at the Department of Home Affairs.

Kind of data

Administrative records data [adm]

Mode of data collection

Other [oth]

Research instrument

The data is collected with notification / death register / still birth instrument.

Mortality and causes of death from death notification

BackgroundDespite the sharp decline in global under-5 deaths since 1990, uneven progress has been achieved across and within countries. In sub-Saharan Africa (SSA), the Millennium Development Goals (MDGs) for child mortality were met only by a few countries. Valid concerns exist as to whether the region would meet new Sustainable Development Goals (SDGs) for under-5 mortality. We therefore examine further sources of variation by assessing age patterns, trends, and forecasts of mortality rates.Methods and findingsData came from 106 nationally representative Demographic and Health Surveys (DHSs) with full birth histories from 31 SSA countries from 1990 to 2017 (a total of 524 country-years of data). We assessed the distribution of age at death through the following new demographic analyses. First, we used a direct method and full birth histories to estimate under-5 mortality rates (U5MRs) on a monthly basis. Second, we smoothed raw estimates of death rates by age and time by using a two-dimensional P-Spline approach. Third, a variant of the Lee–Carter (LC) model, designed for populations with limited data, was used to fit and forecast age profiles of mortality. We used mortality estimates from the United Nations Inter-agency Group for Child Mortality Estimation (UN IGME) to adjust, validate, and minimize the risk of bias in survival, truncation, and recall in mortality estimation. Our mortality model revealed substantive declines of death rates at every age in most countries but with notable differences in the age patterns over time. U5MRs declined from 3.3% (annual rate of reduction [ARR] 0.1%) in Lesotho to 76.4% (ARR 5.2%) in Malawi, and the pace of decline was faster on average (ARR 3.2%) than that observed for infant (IMRs) (ARR 2.7%) and neonatal (NMRs) (ARR 2.0%) mortality rates. We predict that 5 countries (Kenya, Rwanda, Senegal, Tanzania, and Uganda) are on track to achieve the under-5 sustainable development target by 2030 (25 deaths per 1,000 live births), but only Rwanda and Tanzania would meet both the neonatal (12 deaths per 1,000 live births) and under-5 targets simultaneously. Our predicted NMRs and U5MRs were in line with those estimated by the UN IGME by 2030 and 2050 (they overlapped in 27/31 countries for NMRs and 22 for U5MRs) and by the Institute for Health Metrics and Evaluation (IHME) by 2030 (26/31 and 23/31, respectively). This study has a number of limitations, including poor data quality issues that reflected bias in the report of births and deaths, preventing reliable estimates and predictions from a few countries.ConclusionsTo our knowledge, this study is the first to combine full birth histories and mortality estimates from external reliable sources to model age patterns of under-5 mortality across time in SSA. We demonstrate that countries with a rapid pace of mortality reduction (ARR ≥ 3.2%) across ages would be more likely to achieve the SDG mortality targets. However, the lower pace of neonatal mortality reduction would prevent most countries from achieving those targets: 2 countries would reach them by 2030, 13 between 2030 and 2050, and 13 after 2050.

South Africa ZA: Probability of Dying at Age 20-24 Years: per 1000 data was reported at 12.400 Ratio in 2019. This records a decrease from the previous number of 12.900 Ratio for 2018. South Africa ZA: Probability of Dying at Age 20-24 Years: per 1000 data is updated yearly, averaging 19.800 Ratio from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 28.400 Ratio in 2004 and a record low of 12.400 Ratio in 2019. South Africa ZA: Probability of Dying at Age 20-24 Years: per 1000 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: Health Statistics. Probability of dying between age 20-24 years of age expressed per 1,000 youths age 20, if subject to age-specific mortality rates of the specified year.; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted average; Aggregate data for LIC, UMC, LMC, HIC are computed based on the groupings for the World Bank fiscal year in which the data was released by the UN Inter-agency Group for Child Mortality Estimation.

Historical chart and dataset showing South Africa death rate by year from 1950 to 2025.