This statistic shows average life expectancy at birth in Sub-Saharan Africa from 2012 to 2022. Sub-Saharan Africa includes almost all countries south of the Sahara desert. In 2022, the average life expectancy at birth in Sub-Saharan Africa was 60.74 years.

Graph and download economic data for Life Expectancy at Birth, Total for Developing Countries in Sub-Saharan Africa (SPDYNLE00INSSA) from 1960 to 2022 about Sub-Saharan Africa, life expectancy, life, and birth.

Algeria had the highest life expectancy at birth in Africa as of 2023. A newborn infant was expected to live over 77 years in the country. Cabo Verde, Tunisia, and Mauritius followed, with a life expectancy between 77 and 75 years. On the other hand, Chad registered the lowest average, at nearly 54 years. Overall, the life expectancy in Africa was almost 63 years in the same year.

Life expectancy from birth in Africa was just over 36 years in 1950. As a wave of independence movements and decolonization swept the continent between the 1950s and early 1970s, life expectancy rose greatly in Africa; particularly due to improvements and control over medical services, better sanitation and the widespread promotion of vaccinations in the country resulted in a sharp decrease in child mortality; one of the most significant reasons for Africa’s low life expectancy rates. Life expectancy in the continent would continue to steadily increase for much of the second half of the 20th century, however, life expectancy would flatline at around 52 years in the latter half of the 1980s, as the HIV/AIDS epidemic quickly grew to become one of the leading causes of death in the continent. After hovering around the low-fifties in the 1980s to and 1990s, life expectancy would begin to rise again at the turn of the millennium, and is estimated to be over 64 years in 2020.

For those born in 2023, the average life expectancy at birth across Africa was 61 years for men and 65 years for women. The average life expectancy globally was 70 years for men and 75 years for women in mid-2023.

Additional information on life expectancy in Africa

With the exception of North Africa where life expectancy is around the worldwide average for men and women, life expectancy across all African regions paints a bleak picture. Comparison of life expectancy by continent shows the gap in average life expectancy between Africa and other continent regions. Africa trails Latin America and the Caribbean, the continent with the second lowest average life expectancy, by 10 years for men and 12 years for women.

Life expectancy in Africa is the lowest globally Moreover, countries from across the African regions dominate the list of countries with the lowest life expectancy worldwide. Nigeria and Lesotho had the lowest life expectancy for those born in 2023 for men and women, respectively. However there is reason for hope despite the low life expectancy rates in many African countries. The Human Development index rating in Sub-Saharan Africa has increased dramatically from 0.43 to 0.55 between 2000 and 2021, demonstrating an improvement in quality of life and as a result greater access to vital services that allow people to live longer lives. One such improvement has been successful efforts to reduce the rate of aids infection and research into combating its effects. The number of new HIV infections across Africa has decreased from around 1.3 million in 2015 to 760,000 in 2022.

Chart and table of Sub Saharan Africa Excluding South Africa life expectancy from 1950 to 2025. United Nations projections are also included through the year 2100.

For most of the world, throughout most of human history, the average life expectancy from birth was around 24. This figure fluctuated greatly depending on the time or region, and was higher than 24 in most individual years, but factors such as pandemics, famines, and conflicts caused regular spikes in mortality and reduced life expectancy. Child mortality The most significant difference between historical mortality rates and modern figures is that child and infant mortality was so high in pre-industrial times; before the introduction of vaccination, water treatment, and other medical knowledge or technologies, women would have around seven children throughout their lifetime, but around half of these would not make it to adulthood. Accurate, historical figures for infant mortality are difficult to ascertain, as it was so prevalent, it took place in the home, and was rarely recorded in censuses; however, figures from this source suggest that the rate was around 300 deaths per 1,000 live births in some years, meaning that almost one in three infants did not make it to their first birthday in certain periods. For those who survived to adolescence, they could expect to live into their forties or fifties on average. Modern figures It was not until the eradication of plague and improvements in housing and infrastructure in recent centuries where life expectancy began to rise in some parts of Europe, before industrialization and medical advances led to the onset of the demographic transition across the world. Today, global life expectancy from birth is roughly three times higher than in pre-industrial times, at almost 73 years. It is higher still in more demographically and economically developed countries; life expectancy is over 82 years in the three European countries shown, and over 84 in Japan. For the least developed countries, mostly found in Sub-Saharan Africa, life expectancy from birth can be as low as 53 years.

Chart and table of Ida Countries In Sub Saharan Africa Not Classified As Fragile Situations life expectancy from 1950 to 2025. United Nations projections are also included through the year 2100.

Global life expactancy at birth has risen significantly since the mid-1900s, from roughly 46 years in 1950 to 73.5 years in 2025. Post-COVID-19 projections There was a drop of 1.7 years during the COVID-19 pandemic, between 2019 and 2021, however figures resumed upon their previous trajectory the following year due to the implementation of vaccination campaigns and the lower severity of later strains of the virus. By the end of the century it is believed that global life expectancy from birth will reach 82 years, although growth will slow in the coming decades as many of the more-populous Asian countries reach demographic maturity. However, there is still expected to be a wide gap between various regions at the end of the 2100s, with the Europe and North America expected to have life expectancies around 90 years, whereas Sub-Saharan Africa is predicted to be in the low-70s. The Great Leap Forward While a decrease of one year during the COVID-19 pandemic may appear insignificant, this is the largest decline in life expectancy since the "Great Leap Forward" in China in 1958, which caused global life expectancy to fall by almost four years between by 1960. The "Great Leap Forward" was a series of modernizing reforms, which sought to rapidly transition China's agrarian economy into an industrial economy, but mismanagement led to tens of millions of deaths through famine and disease.

lep Life expectancy at birth, total (years) lepf Life expectancy at birth, female (years) lepm Life expectancy at birth, male (years) mmat Maternal mortality ratio (modeled estimate, per 100,000 live births) minf Mortality rate, infant (per 1,000 live births) mun5 Mortality rate, under-5 (per 1,000 live births) hep Current health expenditure per capita, PPP (current international $) ghep Domestic general government health expenditure per capita, PPP (current international $) phep Domestic private health expenditure per capita, PPP (current international $) hout Health outcomes co2 Carbon emission kt per capita ecft Ecological footprint ccn Control of Corruption: Estimate ge Government Effectiveness: Estimate rqv Regulatory Quality: Estimate insq Institutional Quality

In each region of the world, men spend greater proportions of their lives in good health than women. On average, women spend 86 percent of their life expectancy at birth in good health, while men spend 88 percent of their life expectancy at birth in good health. Out of each region, North Africa and Western Asia has the largest gender gap at three percent. Sub-Saharan Africa, Latin America and the Caribbean, and North America and Europe follow with a gap of 2.5 percent. Australia and New Zealand have the smallest gap, at 1.8 percent.

Female life expectancy is forecast to increase in every world region from 2023 to 2050, underlining the challenges of an aging population in several countries. Australia and New Zealand were forecast to have the highest female life expectancy at birth in 2050, reaching 88.5 years. On the other hand, Sub-Saharan Africa was forecast to have the lowest, below 70 years.

Antiretroviral therapy (ART), a treatment for AIDS, is rapidly increasing life expectancy throughout sub-Saharan African countries affected by the AIDS epidemic. This change in life expectancy has potentially profound influences on life-cycle decisions. A longer life expectancy increases the value of human capital investment, while the effect on savings is theoretically ambiguous and life-cycle saving could increase or decrease. This paper uses spatial and temporal variation in ART availability to evaluate the impact of ART provision on savings and investment. We find that ART availability significantly increases savings, expenditures on education, and children's schooling, including among HIV-negative individuals who do not directly benefit from ART. These results are not driven by the direct health effects of treatment or reductions in caretaking responsibilities, but rather by reduced perceptions of mortality risk after ART has become available.

The life expectancy exhibits a significant decline for all gender groups in 2022 compared to the previous year. In line with the decreasing trend, the life expectancy experiences their lowest value towards the end of the observations. Specifically, the life expectancy of men at birth should be mentioned, as it provides the lowest value with 58.6 years. Life expectancy at birth refers to the number of years that the average newborn can expect to live, providing that mortality patterns at the time of their birth do not change thereafter.Find further similar statistics for other countries or regions like Iran and Angola.

Background: Maternal, infectious, and non-communicable causes of death combinedly are a major health problem for women of reproductive age (WRA) in sub-Saharan Africa (SSA). Little is known about the relative risks of each of these causes of death in their combined form and their demographic impacts. The focus of studies on WRA has been on maternal health. The evolving demographic and health transitions in low- and middle-income countries (LMICs) suggest a need for a comprehensive approach to resolve health challenges of women beyond maternal causes.Methods: Deaths and person-years of exposure (PYE) were calculated by age for WRA within 15–49 years of age in the Kintampo Health and Demographic Surveillance System (KHDSS) area from January 2005 to December 2014. Causes of death were diagnosed using a standard verbal autopsy questionnaire and the 10th Revision of the International Statistical Classification of Diseases and Related Health Problems (ICD-10). Identified causes of death were categorized into three broad areas, namely, maternal, infectious, and non-communicable diseases. Multiple decrements and associated single decrement life table methods were used.Results: Averting any of the causes of death was seen to lead to improved life expectancy, but eliminating infectious causes of death leads to the highest number of years gained. Infectious causes of death affected all ages and the gains in life expectancy, assuming that these causes were eliminated, diminished with increasing age. The oldest age group, 45–49, had the greatest gain in reproductive-aged life expectancy (RALE) if maternal mortality was eliminated.Discussion: This study demonstrated the existence of a triple burden. Infectious causes of death are persistently high while deaths from non-communicable causes are rising and the level of maternal mortality is still unacceptably high. It recommends that attention should be given to all the causes of death among WRA.

Background: For decades, health targeted aid in the form of development assistance for health has been an important source of financing health sectors in developing countries. Health sectors in Sub Saharan countries in general and Ethiopia in particular, are even more heavily reliant upon donors. Consequently, a more audible donors support to health sectors was seen during the last four decades, consistent with the donor's response to the global goal of Alma-Ata declaration of "health for all by the year 2000" through primary health care in 1978. Ever since, a massive surge of development assistance for health has followed the out gone of the 2015 United Nations Millennium Declaration Goals in which three out of the eight goals were directly related to health. In spite of the long history of health targeted aid, with an ever increasing volumes, there is an increasing controversy on the extent to which health targeted aid is producing the intended health outcomes in the recipient countries. Despite the vast empirical literatures considering the effect of foreign development aid on economic growth of the recipient countries, systematic evidence that health sector targeted aid improves health outcomes is relatively scarce. The main contribution of this study is, therefore, to present a comprehensive country level, and cross-country evidences on the effect of development assistance for health on health outcomes. Objectives: The overall objective of this study was to analyze the effect of development assistance for health on health outcomes in Ethiopia, and in Sub Saharan Africa. Methods: For the Ethiopian (country level) study, a dynamic time series data analytic approach was employed. A retrospective sample of 36-year observations from 1978 to 2013 was analyzed using an econometric technique - vector error correction model. Beside including time dependency between the variables of interest and allowing for stochastic trends, the model provides valuable information on the existence of long-run and short-run relationships among the variables under study. Furthermore, to estimate the co-integrating relations and the other parameters in the model, the standard procedure of Johansen's approach was used. While development assistance for health expenditure was used as an explanatory variable of interest, life expectancy at birth was used as a dependent variable for the fact that it has long been used with or without mortality measures as health status indicators in the literatures.In the Sub Saharan Africa (cross-country level) study, a dynamic panel data analytic approach was employed using fixed effect, random effect, and the first difference-generalized method of moments estimators in the period confined to the year 1995-2013 over the cross section of 43 SSA countries. While development assistance for health expenditure was used as an explanatory variable of interest here again, infant mortality rate was used for health status measure done for its advantage over other mortality measures in cross-country studies. Results: In Ethiopia, the immediate one and two prior year of development assistance for health was shown to have a significant positive effect on life expectancy at birth. Other things being equal, an increase of development assistance for health expenditure per capita by 1% leads to an improvement in life expectancy at birth by about 0.026 years (P=0.000) in the immediate year following the period, and 0.008 years following the immediate prior two years period (P= 0.025). Similarly, in Sub-Saharan Africa, development assistance for health was found to have a strong negative effect on the reduction of infant mortality rate. The estimates of the study result indicated that during the covered period of study, in the region, a 1% increase in development assistance for health expenditure, which is far less than 10 cents per capita at the mean level, saves the life of two infants per 1000 live births (P=0.000). Conclusion: Contrary to the views of health aid skeptics, this study indicates strong favorable effect of development assistance for health sector in improving health status of people in Sub Saharan Africa in general and the Ethiopia in particular. Recommendations: The policy implication of the current findings is that development assistance for health sector should continue as an interim necessity means. However, domestic health financing system should also be sought, as the targeted countries cannot rely upon external resources continuously for improving the health status of the population. At the same time, the current development assistance stakeholders assumption of targeting facility based primary health care provision should be augmented by a more strong parallel strategy of improving socioeconomic status of the population that promotes sustainable improvement of health status in the targeted countries.

This paper examines the linear effects of economic growth on carbon emissions and their impact on mortality and morbidity rates in specific regions sub-Sahara Africa, Middle-East and North Africa, Europe and Central Asia (SSA, MENA, ECA). By analyzing longitudinal data for 82 panels over 30 years, we investigate the relationships between energy usage, per capita GDP, life expectancy, and carbon emissions. Our estimation results show positive correlations between energy use, carbon production, and life expectancy in both the combined sample and individual regions. However, death rate has a negative relationship with carbon production in the combined sample, MENA, and SSA regions. Per capita GDP positively influences carbon emissions and life expectancy in the combined sample and ECA, MENA, and SSA regions. We also identify asymmetric relationships between per capita GDP and carbon production, with evidence supporting the Environmental Kuznets Curve hypothesis for the combined and ECA samples, and an N-trajectory for SSA. These findings emphasize the importance of region-specific approaches to sustainable development, considering the unique environmental and economic challenges each region faces. Policymakers should consider our research insights when designing policies to mitigate the negative impacts of economic progress on the environment.

BackgroundEpilepsy is a major public health issue worldwide, often leading to physical and cognitive impairments that limit employment, independence, and social interaction. Health-related quality of life (HRQoL) is a crucial outcome in the treatment of chronic epilepsy as it is linked to reduced independence, treatment challenges, and lower life expectancy. HRQoL serves as an important health indicator for assessing the impact of the disease on daily living activities.ObjectiveThis study aimed to estimate the mean score of health-related quality of life (HRQoL) and factors associated with lower HRQoL in people living with epilepsy (PLWE) in sub-Saharan African (SSA) countries.MethodsA comprehensive literature search was conducted using PubMed, Cochrane Library, Scopus, and Google Scholar databases. This review has been registered with PROSPERO (CRD42024620363). The eligibility criteria were established, and this review included cross-sectional and observational studies assessing HRQOL in PLWE in SSA countries, published in English from the inception of databases through November 2024. The pooled HRQoL was reported as the mean score with accompanying 95% confidence intervals. Finally, publication bias was evaluated using a funnel plot and Egger’s regression test.ResultsThe pooled mean score of HRQoL among PLWE in SSA was 63.79 (95% CI: 59.75–67.84%). Owing to significant heterogeneity across the studies, a random-effects model was utilized for the meta-analysis (I2 = 98.96%, p 

Background Studies from high-income countries reported reduced life expectancy in children with cerebral palsy (CP), while no population-based study has evaluated mortality of children with CP in sub-Saharan Africa. This study aimed to estimate the mortality rate (MR) of children with CP in a rural region of Uganda and identify risk factors and causes of death (CODs). Methods and Findings This population-based, longitudinal cohort study was based on data from Iganga-Mayuge Health and Demographic Surveillance System in eastern Uganda. We identified 97 children (aged 2–17 years) with CP in 2015, whom we followed to 2019. They were compared with an age-matched cohort from the general population (n=41 319). MRs, MR ratios (MRRs), hazard ratios (HRs), and immediate CODs were determined. MR was 3952 per 100 000 person years (95% CI 2212–6519) in children with CP and 137 per 100 000 person years (95% CI 117–159) in the general population. Standardized MRR was 25·3 in the CP cohort, compared with the general population. In children with CP, risk of death was higher in those with severe gross motor impairments than in those with milder impairments (HR 6·8; p=0·007) and in those with severe malnutrition than in those less malnourished (HR=3·7; p=0·052). MR was higher in females in the CP cohort, with a higher MRR in females (53·0; 95% CI 26·4–106·3) than in males (16·3; 95% CI 7·2–37·2). Age had no significant effect on MR in the CP cohort, but MRR was higher at 10–18 years (39·6; 95% CI 14·2–110·0) than at 2–6 years (21·0; 95% CI 10·2–43·2). Anaemia, malaria, and other infections were the most common CODs in the CP cohort. Conclusions Risk of premature death was excessively high in children with CP in rural sub-Saharan Africa, especially in those with severe motor impairments or malnutrition. While global childhood mortality has significantly decreased during recent decades, this observed excessive mortality is a hidden humanitarian demand that needs to be addressed.

The dataset contains of the following files: - CP_cohort–Children_and_youth_at_the_IM-HDSS.csv - CoD–General_population_of_children_and_youth_IM-HDSS.csv - Variable_list.pdf

Details about the variables in the tables can be found in the variable list.

Abstract

Stroke is the second most cause of death worldwide and a disproportionate number of these deaths occur in low income countries. In Sub-Saharan Africa(SSA) with effective antiretroviral treatment (ART)programmes, life expectancy has improved and more adults are now dying from non-communicable diseases (NCD) than HIV/AIDS. In 2004 around 1.2 million deaths were thought to be attributable to cardiovascular disease(CVD) alone in this region. The figure is expected to double by 2030.The population living with co-morbidities of HIV and NCD is growing, with detrimental social and economic impacts, creating an unsustainable burden on constrained health systems. It is thought that stroke is particularly common in sub-Saharan Africa (SSA), possibly due to high prevalence of hypertension, but there is remarkably little accurate data. Determining and evaluating optimal strategies to reduce the burden of stroke in SSA requires validated tools to assess incidence, mortality and the contribution of modifiable risk factors. This study involved urban health facility level stroke surveillance, which in combination with our rural community surveillance, gave the first estimates of incidence of transient ischaemic attack(TIA) and fatal and non-fatal stroke in Malawi, and their determinants, including HIV infection and ART. The study also built on our existing collaboration with the Ministry of Health 's NCD department.

NHSRC number : 1431

Analysis unit

Individual

Universe

The stroke surveillance included all stroke patients who attend Kamuzu Central Hospital ,Daeyang Luke Hospital and Area 25 health centre in order to capture the population level data on residents of Area 25 of Lilongwe (Adult population ; 25,000).

Kind of data

Sample survey data

Mode of data collection

Face-to-face [f2f]

Research instrument

Diagnostics and Medication STS Lilongwe form , Stroke Register , Information Sheet and Consent For Cases and Controls, Diagnostic Imaging Form sts lilongwe, Exit form, Follow-up Form and STS FULL Questionnaire.