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.

Actual value and historical data chart for South Africa Share Of Youth Not In Education Employment Or Training Female Percent Of Female Youth Population

Africa has the youngest population in the world. Among the 35 countries with the lowest median age worldwide, only three fall outside the continent. In 2023, the median age in Niger was 15.1 years, the youngest country. This means that at this age point, half of the population was younger and half older. A young population reflects several demographic characteristics of a country. For instance, together with a high population growth, life expectancy in Western Africa is low: this reached 58 years for men and 60 for women in 2024. Overall, Africa has the lowest life expectancy in the world.

Africa’s population is still growing Africa’s population growth can be linked to a high fertility rate, along with a drop in death rates. Despite the fertility rate on the continent following a constant declining trend, it remains far higher compared to all other regions worldwide. It was forecast to reach 4.02 children per woman, compared to a worldwide average of 2.25 children per woman in 2024. Furthermore, the crude death rate in Africa overall dropped, only increasing slightly during the coronavirus (COVID-19) pandemic. The largest populations on the continent Nigeria, Ethiopia, Egypt, and the Democratic Republic of Congo are the most populous African countries. In 2025, people living in Nigeria amounted to over 237 million, while the number for the three other countries exceeded 100 million each. Of those, the Democratic Republic of Congo sustained the fourth-highest fertility rate in Africa in 2023. Nigeria and Ethiopia also had high rates, with 4.48 and 3.99 births per woman, respectively. Although such a high fertility rate is expected to slow down, it will still impact the population structure, growing younger nations.

Actual value and historical data chart for Central African Republic Youth Illiterate Population 15 24 Years Percent Female

South Africa ZA: Population: as % of Total: Female: Aged 15-64 data was reported at 65.285 % in 2017. This records an increase from the previous number of 65.252 % for 2016. South Africa ZA: Population: as % of Total: Female: Aged 15-64 data is updated yearly, averaging 56.847 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 65.285 % in 2017 and a record low of 53.429 % in 1964. South Africa ZA: Population: as % of Total: Female: Aged 15-64 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: Population and Urbanization Statistics. Female population between the ages 15 to 64 as a percentage of the total female population. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.; ; World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2017 Revision.; Weighted average; Relevance to gender indicator: Knowing how many girls, adolescents and women there are in a population helps a country in determining its provision of services.

Youth illiterate population, 15-24 years, female (number) in Central African Republic was reported at 359523 Persons in 2018, according to the World Bank collection of development indicators, compiled from officially recognized sources. Central African Republic - Youth illiterate population, 15-24 years, female - actual values, historical data, forecasts and projections were sourced from the World Bank on November of 2025.

South Africa is expected to register the highest unemployment rate in Africa in 2024, with around ** percent of the country's labor force being unemployed. Djibouti and Eswatini followed, with unemployment reaching roughly ** percent and ** percent, respectively. On the other hand, the lowest unemployment rates in Africa were in Niger and Burundi. The continent’s average stood at roughly ***** percent in the same year. Large shares of youth among the unemployed Due to several educational, socio-demographic, and economic factors, the young population is more likely to face unemployment in most regions of the world. In 2024, the youth unemployment rate in Africa was projected at around ** percent. The situation was particularly critical in certain countries. In 2022, Djibouti recorded a youth unemployment rate of almost ** percent, the highest rate on the continent. South Africa followed, with around ** percent of the young labor force being unemployed. Wide disparities in female unemployment Women are another demographic group often facing high unemployment. In Africa, the female unemployment rate stood at roughly ***** percent in 2023, compared to *** percent among men. The average female unemployment on the continent was not particularly high. However, there were significant disparities among African countries. Djibouti and South Africa topped the ranking once again in 2022, with female unemployment rates of around ** percent and ** percent, respectively. In contrast, Niger, Burundi, and Chad were far below Africa’s average, as only roughly *** percent or lower of the women in the labor force were unemployed.

The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in the Central African Republic: (1) Overall population density (2) Women (3) Men (4) Children (ages 0-5) (5) Youth (ages 15-24) (6) Elderly (ages 60+) (7) Women of reproductive age (ages 15-49).

There is also a tiled version of this dataset that may be easier to use if you are interested in many countries.

Central African Republic CF: Employment To Population Ratio: Modeled ILO Estimate: Aged 15-24: Female data was reported at 51.109 % in 2024. This records a decrease from the previous number of 51.116 % for 2023. Central African Republic CF: Employment To Population Ratio: Modeled ILO Estimate: Aged 15-24: Female data is updated yearly, averaging 47.914 % from Dec 1991 (Median) to 2024, with 34 observations. The data reached an all-time high of 51.429 % in 2018 and a record low of 47.151 % in 2003. Central African Republic CF: Employment To Population Ratio: Modeled ILO Estimate: Aged 15-24: Female data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Central African Republic – Table CF.World Bank.WDI: Employment and Unemployment. Employment to population ratio is the proportion of a country's population that is employed. Employment is defined as persons of working age who, during a short reference period, were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period (i.e. who worked in a job for at least one hour) or not at work due to temporary absence from a job, or to working-time arrangements. Ages 15-24 are generally considered the youth population.;International Labour Organization. “ILO Modelled Estimates and Projections database (ILOEST)” ILOSTAT. Accessed January 07, 2025. https://ilostat.ilo.org/data/.;Weighted average;National estimates are also available in the WDI database. Caution should be used when comparing ILO estimates with national estimates.

Globally, about 25 percent of the population is under 15 years of age and 10 percent is over 65 years of age. Africa has the youngest population worldwide. In Sub-Saharan Africa, more than 40 percent of the population is below 15 years, and only three percent are above 65, indicating the low life expectancy in several of the countries. In Europe, on the other hand, a higher share of the population is above 65 years than the population under 15 years. Fertility rates The high share of children and youth in Africa is connected to the high fertility rates on the continent. For instance, South Sudan and Niger have the highest population growth rates globally. However, about 50 percent of the world’s population live in countries with low fertility, where women have less than 2.1 children. Some countries in Europe, like Latvia and Lithuania, have experienced a population decline of one percent, and in the Cook Islands, it is even above two percent. In Europe, the majority of the population was previously working-aged adults with few dependents, but this trend is expected to reverse soon, and it is predicted that by 2050, the older population will outnumber the young in many developed countries. Growing global population As of 2025, there are 8.1 billion people living on the planet, and this is expected to reach more than nine billion before 2040. Moreover, the global population is expected to reach 10 billions around 2060, before slowing and then even falling slightly by 2100. As the population growth rates indicate, a significant share of the population increase will happen in Africa.

As of 2023, South Africa's population increased and counted approximately 62.3 million inhabitants in total, of which the majority inhabited Gauteng, KwaZulu-Natal, and the Western-Eastern Cape. Gauteng (includes Johannesburg) is the smallest province in South Africa, though highly urbanized with a population of over 16 million people according to the estimates. Cape Town, on the other hand, is the largest city in South Africa with nearly 3.43 million inhabitants in the same year, whereas Durban counted 3.12 million citizens. However, looking at cities including municipalities, Johannesburg ranks first. High rate of young population South Africa has a substantial population of young people. In 2024, approximately 34.3 percent of the people were aged 19 years or younger. Those aged 60 or older, on the other hand, made-up over 10 percent of the total population. Distributing South African citizens by marital status, approximately half of the males and females were classified as single in 2021. Furthermore, 29.1 percent of the men were registered as married, whereas nearly 27 percent of the women walked down the aisle. Youth unemployment Youth unemployment fluctuated heavily between 2003 and 2022. In 2003, the unemployment rate stood at 36 percent, followed by a significant increase to 45.5 percent in 2010. However, it fluctuated again and as of 2022, over 51 percent of the youth were registered as unemployed. Furthermore, based on a survey conducted on the worries of South Africans, some 64 percent reported being worried about employment and the job market situation.

Abstract

Tobacco usage rates are on the rise in low- and middle-income countries (LMIC). Adolescents are especially vulnerable to taking up tobacco use at a young age in some African countries because the tobacco industry aggressively markets to them. Most of the available evidence captures data from 13- to 15-year-olds even though evidence from Sub Saharan Africa (SSA) shows that the age of smoking initiation among young people ranges from as young as 7 years old to about 16 years old. The lack of data on adolescent tobacco use in African countries limits policymakers’ ability to make data-informed decisions on tobacco control policies. The problem that the study aims to address is the lack of quality and timely primary data on adolescent tobacco use which significantly inhibits the country’s ability to appropriately target efforts, engage county governments to action, and increase global attention and funding for adolescent health.

Geographic coverage

Nation-wide household survey (Kenya and Nigeria)

Analysis unit

The study was a household-based with the household head and adolescents to be interviewed.

Individual Household

Universe

The survey covered household head (either male or female) and adolescents aged (10-17 years old)

Sampling procedure

Kenya

Sample size: The sample size for this survey was calculated using the United Nations (UN) formula (see Appendix 2) for estimating sample sizes in prevalence studies for household surveys (UN, 2008). In the computation of the sample, a 95% confidence level was applied, along with a default design effect of 2.0 to account for multistage sampling. A 10% non-response rate was factored into the calculations, consistent with other studies in Kenya (KNBS, 2015). An estimate of 16.2% was used for the expected prevalence of tobacco use among adolescents (Nazir et al., 2019). The adolescent population proportion was estimated at 20.45% and the average household size estimated at 3.9, based on the 2019 Kenya Population and Housing Census (KNBS, 2019). Using these parameters, the calculation resulted in a nationally representative sample of 6,061 adolescents in Kenya, which is sufficient for analysis and national-level inferences. However, to adjust for the 10% non-response rate, a targeted sample size of 6,734 was computed

Sampling procedure:The survey utilized a three-stage stratified cluster sample design.The first stage involved the selection of 16 counties from Kenya's 47 counties. Prior to sampling, the counties were stratified by grouping them into the eight former provinces. Thereafter, a representative and proportionate sample was selected from each province. The number of sampled counties was computed using Taro Yamane's simplified formula for proportions (Tepping, 1968). Nairobi county was included by default because it is a capital city, a region, and a county. The remaining 15 counties were randomly selected based on a computer-generated sequence using R statistical software.The second stage involved random selection of EAs within the 16 sampled counties, which was done with probability proportional to the size of the EA. Prior to EA sample selection, the EA sampling frame was first stratified by residence (rural and urban) and 224 EAs were selected: 81 in urban areas and 143 in rural areas. To generate a household sampling frame and identify households with eligible adolescents, the survey team conducted a household listing operation within the selected EAs. The operation involved visiting each EA to list all eligible households and their addresses.In the third stage, 30 households were randomly selected from each EA. In each selected household, only one adolescent aged 10 to 17 years was interviewed. These interviewees were randomly sampled if multiple adolescents were present in the household.

Nigeria

Sample size: Nigeria: The sample size for this study was estimated using the UN formula for estimating sample sizes in prevalence studies (UN, 2008), with a 95% confidence level. A sample design effect of 2.5 (default value) was applied since sampling was to be conducted at different administrative levels, such as geopolitical zones, states, and EAs. A non-response rate of 20% was factored into the calculations. While non-response rates for adult populations and previous adolescent studies in Nigeria are typically around 10% (NPC & ICF, 2019), a higher rate was considered due to the assumption that the target population may be mobile. The global prevalence of tobacco use among adolescents, reported as 19.4% (Itanyi et al.,2018) was used as the estimated prevalence due to a lack of recent national estimates. The adolescent population proportion was estimated at 17.9%, and the average household size was set at 4.7, based on national statistics from the 2018 Nigeria Demographic and Health Survey (NDHS) (NPC and ICF, 2019). Using these parameters, the calculation resulted in a nationally representative sample of 6,358 adolescents in Nigeria, which is sufficient for analysis and national-level inferences. However, to adjust the 20% non-response rate, a targeted sample size of 7,948 was envisaged.

Sampling Procedure: The survey employed a multi-stage stratified cluster sampling design to produce a nationally representative sample of adolescents, covering both urban and rural areas. The first sampling stage involved randomly selecting 13 study states (12 states and the FCT, Abuja) from the national sampling frame of 36 states as provided by the NPC. The states were stratified by grouping them into their respective geopolitical zones, and then a representative and proportionate sample from each zone was randomly selected using a computer-generated sequence. The number of sampled states was calculated using Taro Yamane's simplified formula for proportions. The FCT was included by default due to its status as the capital. In the second stage, 265 EAs were selected using probability proportional to the size of the sampled states. Before selecting the EAs, the sampling frame was stratified by residence (urban/rural). Among the selected EAs, 105 were in urban areas and 160 in rural areas. Prior to field work, the survey team carried out a household listing operation in all selected EAs to obtain an updated list of eligible households in the selected EAs, which served as the sampling frame at the third stage of sample selection. In the third stage, 30 households per EA were randomly selected to reduce clustering effects. In each selected household, one adolescent aged 10 to 17 years was randomly selected to be interviewed (where multiple adolescents were available). If a selected adolescent was unavailable, interviewers made up to three return visits to complete the interview. If the adolescents remained unavailable after the third visit, the survey was closed, and no replacements were made.

Sampling deviation

N/A

Mode of data collection

Face-to-face [f2f]

Research instrument

The DaYTA standardized questionnaire was developed through intensive review of literature, including other standardized survey questionnaires that are used internationally. Examples include the following: CDC National Youth Tobacco Survey (NYTS) The Global Youth Tobacco Survey (GYTS) Global Adult Tobacco Survey (GATS) ASH Smokefree Great Britain Youth survey (ASH-Y) International Tobacco Control (ICT)-Youth Surveys WHO Tobacco Questions for Surveys of Youth (TQS-Youth) The reviews were complemented by consultations with country stakeholders and field testing to ensure that the questionnaires were appropriate and relevant to policy decisions in and across-countries Both household and individual-level data will be collected as follows: Household data: The household questionnaire will be administered to the consenting head of household or acting head of household. The questionnaire will collect information on demographics and socio-economic status as presented below: Module 1: Household roster - demographic data of household members (de facto residents who stay in the household) Module 2: Household characteristics - socio-economic data. Individual-level data from participating adolescents: Information to be collected through core modules will include the following: Module 1: Socio-demographic characteristics such as age, sex, school year (if in school), average weekly spending money; Functional difficulties i.e. vision, mobility, cognition remembering, self-care and communication. Module 2 - 7: Tobacco use for both smoked tobacco [manufactured/factory-made cigarettes, roll-your-own (RYO)/hand rolled cigarettes, shisha/waterpipe/hookah and emerging tobacco products such as heated tobacco products), and other tobacco products e.g. cigars, cheroots, cigarillos] and smokeless tobacco [chewing tobacco such as tobacco leaf, tobacco leaf and lime; Kuber, applying tobacco such as, tobacco toothpaste-dentobac etc.; tobacco tooth powder-lal, etc.; snuff)], including type, quantity, frequency, dependency, age of initiation, where they smoke, and with whom; Use of novel products such as electronic nicotine/ non-nicotine delivery systems; Access to tobacco and novel products (e.g., how they access, where and for how much); Multi-level (e.g., individual-, household- and environment-level) factors associated with tobacco use among adolescents,19-22 such as in-school/ out-of-school, parents/guardians/other family members’ tobacco use histories, exposure to second-hand tobacco smoke within the home, or tobacco use amongst close friends, exposure to tobacco advertising, promotion or sponsorship, and exposure to anti-tobacco messages. Module 8: Knowledge, Attitudes, Perceptions, intentions about using tobacco and its

In South Africa, children aged up to four made up the largest age group: *** percent of males and *** percent of females. Similarly, people between 30 and 34 years old held the second-largest share of the population. On the other hand, people aged 60 years and older represented a small portion of the population.

Central African Republic CF: Population: as % of Total: Female: Aged 0-14 data was reported at 46.795 % in 2023. This records a decrease from the previous number of 47.105 % for 2022. Central African Republic CF: Population: as % of Total: Female: Aged 0-14 data is updated yearly, averaging 44.868 % from Dec 1960 (Median) to 2023, with 64 observations. The data reached an all-time high of 47.601 % in 2015 and a record low of 39.834 % in 1960. Central African Republic CF: Population: as % of Total: Female: Aged 0-14 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Central African Republic – Table CF.World Bank.WDI: Population and Urbanization Statistics. Female population between the ages 0 to 14 as a percentage of the total female population. Population is based on the de facto definition of population.;United Nations Population Division. World Population Prospects: 2024 Revision.;Weighted average;Relevance to gender indicator: Knowing how many girls, adolescents and women there are in a population helps a country in determining its provision of services.

Central African Republic CF: Population: Female: Aged 0-14 data was reported at 1,256,335.000 Person in 2023. This records an increase from the previous number of 1,244,408.000 Person for 2022. Central African Republic CF: Population: Female: Aged 0-14 data is updated yearly, averaging 672,476.500 Person from Dec 1960 (Median) to 2023, with 64 observations. The data reached an all-time high of 1,256,335.000 Person in 2023 and a record low of 342,782.000 Person in 1960. Central African Republic CF: Population: Female: Aged 0-14 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Central African Republic – Table CF.World Bank.WDI: Population and Urbanization Statistics. Female population between the ages 0 to 14. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.;World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects: 2024 Revision.;Sum;Relevance to gender indicator: Knowing how many girls, adolescents and women there are in a population helps a country in determining its provision of services.

According to the forecast, Africa's total population would reach nearly 2.5 billion by 2050. In 2025, the continent had around 1.55 billion inhabitants, with Nigeria, Ethiopia, and Egypt as the most populous countries. In the coming years, Africa will experience significant population growth and will close the gap significantly with the Asian population by 2100. Rapid population growth In Africa, the annual growth rate of the population followed an overall increasing trend up to 2013, reaching nearly 2.63 percent. This was followed by a drop to 2.32 percent by 2023. Although population growth was slowing down, it was still growing faster than in all other regions. The reasons behind this rapid growth are various. One factor is the high fertility rate registered in African countries. In 2023, a woman in Somalia, Chad, Niger, the Democratic Republic of Congo, and the Central African Republic had an average of over six children in her reproductive years, the highest rate on the continent. High fertility resulted in a large young population and partly compensated for the high mortality rate in Africa, leading to fast-paced population growth. High poverty levels Africa’s population is concerned with widespread poverty. In 2025, over 438 million people on the continent are extremely poor and live with less than 2.15 U.S. dollars per day. Globally, Africa is the continent hosting the highest poverty rate. In 2025, the countries of Nigeria and the Democratic Republic of the Congo account for over 23 percent of the world's population living in extreme poverty. Nevertheless, the share of the population living in poverty in Africa is forecast to decrease in the coming years.

In the face of rapid demographic transitions, Sub-Saharan African countries stand at a critical juncture where the potential for harnessing a demographic dividend to fuel economic growth is immense. This demographic shift presents both challenges and opportunities, with the right investments in health, education, and employment, countries can turn the growing youth population into a powerful engine for development, driving substantial and sustainable economic progress across the region. This study examines the demographic structure effect on economic growth in the context of structural changes in 26 sub-Saharan African countries. Using data from 1992 to 2019 in the PMG-ARDL, FMOLS, and DOLS estimates, we find that demographic structure has a positive influence on economic growth in the long run, which occurs through effective structural change, that is, structural changes that occur with an increase in labor productivity growth. Indeed, our results show that structural changes are relevant in transforming African youth debt into demographic dividends. The study investigates the impact of demographic structure on economic growth within the context of structural changes in 26 sub-Saharan African countries from 1992 to 2019. It provides a detailed analysis of the impact of demographic transition, characterized by declining fertility rates and an expanding working-age population, on economic growth in sub-Saharan Africa. It highlights the importance of structural changes, such as labor productivity and sectoral composition variations, to transform demographic advantages into sustainable economic growth. Using robust econometric methods (PMG-ARDL, FMOLS, and DOLS), the research demonstrates a significant positive long-term impact of demographic structure on economic development, mediated by effective structural change. The policy implications include promoting family planning and education for young girls, which will help reduce dependency ratios, accelerate demographic transitions, and encourage industrialization and innovation to drive structural change and improve labor productivity. Incorporating demographic characteristics such as education levels and health status into economic planning will help maximize the benefits of demographic transitions. Recommendations include encouraging demographic and sectoral policies to effectively manage demographic transitions and promote structural change and innovation. Future research should include country-specific analyses to address heterogeneity and incorporate additional indicators such as education and health to capture their nuanced impacts on economic growth. The results of this study are significant for policymakers, researchers, and development practitioners working in sub-Saharan Africa. By providing empirical evidence on the interaction between demographic structure and structural change, the study offers valuable insights into strategies for leveraging the demographic dividend to fuel sustainable economic growth in the region. This research contributes to a better understanding of how to navigate demographic transitions and structural changes to achieve long-term economic development.

South Africa ZA: Population: as % of Total: Female: Aged 0-14 data was reported at 28.216 % in 2017. This records a decrease from the previous number of 28.417 % for 2016. South Africa ZA: Population: as % of Total: Female: Aged 0-14 data is updated yearly, averaging 39.100 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 42.389 % in 1966 and a record low of 28.216 % in 2017. South Africa ZA: Population: as % of Total: Female: Aged 0-14 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: Population and Urbanization Statistics. Female population between the ages 0 to 14 as a percentage of the total female population. Population is based on the de facto definition of population.; ; World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2017 Revision.; Weighted average; Relevance to gender indicator: Knowing how many girls, adolescents and women there are in a population helps a country in determining its provision of services.

As of July 2024, Nigeria's population was estimated at around 229.5 million. Between 1965 and 2024, the number of people living in Nigeria increased at an average rate of over two percent. In 2024, the population grew by 2.42 percent compared to the previous year. Nigeria is the most populous country in Africa. By extension, the African continent records the highest growth rate in the world. Africa's most populous country Nigeria was the most populous country in Africa as of 2023. As of 2022, Lagos held the distinction of being Nigeria's biggest urban center, a status it also retained as the largest city across all of sub-Saharan Africa. The city boasted an excess of 17.5 million residents. Notably, Lagos assumed the pivotal roles of the nation's primary financial hub, cultural epicenter, and educational nucleus. Furthermore, Lagos was one of the largest urban agglomerations in the world. Nigeria's youthful population In Nigeria, a significant 50 percent of the populace is under the age of 19. The most prominent age bracket is constituted by those up to four years old: comprising 8.3 percent of men and eight percent of women as of 2021. Nigeria boasts one of the world's most youthful populations. On a broader scale, both within Africa and internationally, Niger maintains the lowest median age record. Nigeria secures the 20th position in global rankings. Furthermore, the life expectancy in Nigeria is an average of 62 years old. However, this is different between men and women. The main causes of death have been neonatal disorders, malaria, and diarrheal diseases.

Central African Republic CF: Population: Female: Aged 65 and Above data was reported at 61,831.000 Person in 2023. This records an increase from the previous number of 61,378.000 Person for 2022. Central African Republic CF: Population: Female: Aged 65 and Above data is updated yearly, averaging 45,326.000 Person from Dec 1960 (Median) to 2023, with 64 observations. The data reached an all-time high of 62,434.000 Person in 2021 and a record low of 40,223.000 Person in 1960. Central African Republic CF: Population: Female: Aged 65 and Above data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Central African Republic – Table CF.World Bank.WDI: Population and Urbanization Statistics. Female population 65 years of age or older. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.;World Bank staff estimates using the World Bank's total population and age/sex distributions of the United Nations Population Division's World Population Prospects: 2024 Revision.;Sum;Relevance to gender indicator: Knowing how many girls, adolescents and women there are in a population helps a country in determining its provision of services.