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 57 years for men and 59 for women. 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 4.12 children per woman, compared to a worldwide average of 2.31 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 2023, people living in Nigeria amounted to around 224 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. Nigeria and Ethiopia also had high rates, with 5.24 and 4.16 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.

In 2024, Italy was the European country with the oldest population, recording a median age of 48.7 years, closely ahead of Bulgaria and Portugal, with 47 years. In general, almost all European countries have a median age above 40 years old. Only Azerbaijan, Turkey, Armenia, and Kosovo had a median age below 35 years old. Kosovo was the youngest territory of the continent in terms of median age.

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.

The ranking of countries by average age of the population shows at one end of the spectrum the countries with the highest average age of the population. At the other end are the countries with the youngest populations: they usually have high birth rates and not very long life expectancy.

In 2023, the median age of the population in Thailand was **** years, which was the oldest median age across Southeast Asia. Comparatively, the median age of Timor-Leste's population was ** years in 2023.

In 2024, the median age in Africa was **** years, meaning that half of the population was older and half was younger than that age. The median age on the continent increased compared to 2000 when it was around ** years. Africa is the youngest continent in the world and presents the highest share of inhabitants aged 14 years and younger, that is, ** percent of the total population. Niger, Uganda, and Angola were the countries with the youngest population in Africa as of 2023.

This statistic shows the countries with the lowest projected median age in 2050. By 2050, Niger is projected to have the population with the lowest median age at 19 years old.

Context

The United States Census Bureau’s international dataset provides estimates of country populations since 1950 and projections through 2050. Specifically, the dataset includes midyear population figures broken down by age and gender assignment at birth. Additionally, time-series data is provided for attributes including fertility rates, birth rates, death rates, and migration rates.

Querying BigQuery tables

You can use the BigQuery Python client library to query tables in this dataset in Kernels. Note that methods available in Kernels are limited to querying data. Tables are at bigquery-public-data.census_bureau_international.

Sample Query 1

What countries have the longest life expectancy? In this query, 2016 census information is retrieved by joining the mortality_life_expectancy and country_names_area tables for countries larger than 25,000 km2. Without the size constraint, Monaco is the top result with an average life expectancy of over 89 years!

standardSQL

SELECT age.country_name, age.life_expectancy, size.country_area FROM ( SELECT country_name, life_expectancy FROM bigquery-public-data.census_bureau_international.mortality_life_expectancy WHERE year = 2016) age INNER JOIN ( SELECT country_name, country_area FROM bigquery-public-data.census_bureau_international.country_names_area where country_area > 25000) size ON age.country_name = size.country_name ORDER BY 2 DESC /* Limit removed for Data Studio Visualization */ LIMIT 10

Sample Query 2

Which countries have the largest proportion of their population under 25? Over 40% of the world’s population is under 25 and greater than 50% of the world’s population is under 30! This query retrieves the countries with the largest proportion of young people by joining the age-specific population table with the midyear (total) population table.

standardSQL

SELECT age.country_name, SUM(age.population) AS under_25, pop.midyear_population AS total, ROUND((SUM(age.population) / pop.midyear_population) * 100,2) AS pct_under_25 FROM ( SELECT country_name, population, country_code FROM bigquery-public-data.census_bureau_international.midyear_population_agespecific WHERE year =2017 AND age < 25) age INNER JOIN ( SELECT midyear_population, country_code FROM bigquery-public-data.census_bureau_international.midyear_population WHERE year = 2017) pop ON age.country_code = pop.country_code GROUP BY 1, 3 ORDER BY 4 DESC /* Remove limit for visualization*/ LIMIT 10

Sample Query 3

The International Census dataset contains growth information in the form of birth rates, death rates, and migration rates. Net migration is the net number of migrants per 1,000 population, an important component of total population and one that often drives the work of the United Nations Refugee Agency. This query joins the growth rate table with the area table to retrieve 2017 data for countries greater than 500 km2.

SELECT growth.country_name, growth.net_migration, CAST(area.country_area AS INT64) AS country_area FROM ( SELECT country_name, net_migration, country_code FROM bigquery-public-data.census_bureau_international.birth_death_growth_rates WHERE year = 2017) growth INNER JOIN ( SELECT country_area, country_code FROM bigquery-public-data.census_bureau_international.country_names_area

Update frequency

Historic (none)

Dataset source

United States Census Bureau

Terms of use: This dataset is publicly available for anyone to use under the following terms provided by the Dataset Source - http://www.data.gov/privacy-policy#data_policy - and is provided "AS IS" without any warranty, express or implied, from Google. Google disclaims all liability for any damages, direct or indirect, resulting from the use of the dataset.

See the GCP Marketplace listing for more details and sample queries: https://console.cloud.google.com/marketplace/details/united-states-census-bureau/international-census-data

List of African countries by median age of the total population and male and female median ages. Niger with an average age of 14.8 years old is the youngest country in Africa and the youngest country in the world.

Nigeria NG: Age Dependency Ratio: % of Working-Age Population: Young data was reported at 82.602 % in 2017. This records a decrease from the previous number of 82.925 % for 2016. Nigeria NG: Age Dependency Ratio: % of Working-Age Population: Young data is updated yearly, averaging 82.468 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 87.186 % in 1987 and a record low of 74.878 % in 1960. Nigeria NG: Age Dependency Ratio: % of Working-Age Population: Young data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Nigeria – Table NG.World Bank.WDI: Population and Urbanization Statistics. Age dependency ratio, young, is the ratio of younger dependents--people younger than 15--to the working-age population--those ages 15-64. Data are shown as the proportion of dependents per 100 working-age population.; ; World Bank staff estimates based on age distributions of United Nations Population Division's World Population Prospects: 2017 Revision.; Weighted average;

Denmark DK: Age Dependency Ratio: % of Working-Age Population: Young data was reported at 25.824 % in 2017. This records a decrease from the previous number of 25.939 % for 2016. Denmark DK: Age Dependency Ratio: % of Working-Age Population: Young data is updated yearly, averaging 28.170 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 39.271 % in 1960 and a record low of 25.277 % in 1990. Denmark DK: Age Dependency Ratio: % of Working-Age Population: Young data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Denmark – Table DK.World Bank: Population and Urbanization Statistics. Age dependency ratio, young, is the ratio of younger dependents--people younger than 15--to the working-age population--those ages 15-64. Data are shown as the proportion of dependents per 100 working-age population.; ; World Bank staff estimates based on age distributions of United Nations Population Division's World Population Prospects: 2017 Revision.; Weighted average;

This graph displays the total population size of citizens aged from between 20 and 24 years old in Europe in 2018, by country. That year there were roughly *** million inhabitants of this age group in Germany, which was followed by the United Kingdom and France at **** million and **** million inhabitants respectively.

France FR: Age Dependency Ratio: % of Working-Age Population: Young data was reported at 29.074 % in 2017. This records a decrease from the previous number of 29.088 % for 2016. France FR: Age Dependency Ratio: % of Working-Age Population: Young data is updated yearly, averaging 30.470 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 42.591 % in 1961 and a record low of 28.258 % in 2006. France FR: Age Dependency Ratio: % of Working-Age Population: Young data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s France – Table FR.World Bank: Population and Urbanization Statistics. Age dependency ratio, young, is the ratio of younger dependents--people younger than 15--to the working-age population--those ages 15-64. Data are shown as the proportion of dependents per 100 working-age population.; ; World Bank staff estimates based on age distributions of United Nations Population Division's World Population Prospects: 2017 Revision.; Weighted average;

Costa Rica CR: Age Dependency Ratio: % of Working-Age Population: Young data was reported at 28.671 % in 2023. This records a decrease from the previous number of 29.267 % for 2022. Costa Rica CR: Age Dependency Ratio: % of Working-Age Population: Young data is updated yearly, averaging 59.075 % from Dec 1960 (Median) to 2023, with 64 observations. The data reached an all-time high of 90.563 % in 1963 and a record low of 28.671 % in 2023. Costa Rica CR: Age Dependency Ratio: % of Working-Age Population: Young data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Costa Rica – Table CR.World Bank.WDI: Population and Urbanization Statistics. Age dependency ratio, young, is the ratio of younger dependents--people younger than 15--to the working-age population--those ages 15-64. Data are shown as the proportion of dependents per 100 working-age population.;World Bank staff estimates based on age distributions of United Nations Population Division's World Population Prospects: 2022 Revision.;Weighted average;

Women and Men in Spain: Young population (20 to 24 years old) that have completed at least the 2nd stage of secondary education in the EU. CNED-2000. Annual. National.

The Lao People’s Democratic Republic (Lao PDR) is a land-locked, ethnically diverse and mountainous country with an estimated population at 6.8 million. It has the distinction of having the highest total fertility rate (TFR) among ASEAN countries in recent years. With one of the youngest populations in the region, Lao PDR is projected to benefit from the “demographic dividend” to theeconomy in the medium-term. However,this will be realized only if young women and young men are better equipped with the appropriate skills and knowledge, and new jobs are able to keep pace with the growth of the working age population.

This section presents statistical information on the educational variables that are collected in the Labour Force Survey of the National Institute of Statistics, as well as in the Community Labour Force Survey (Eurostat). The indicators of the strategic framework for European cooperation in education and training (2021-2030) that derive from these sources are highlighted. The information is presented disaggregated by autonomous community and by country of the European Union, according to the source used, and with temporary developments since 2002.Line break The results are obtained as annual averages of quarterly data, so the information is updated annually, as the four quarters of the EPA are available, as well as the results derived from the Community survey of Eurostat. From the 2014 results of the EPA, the new National Classification of Education, CNED-2014, based on the International Standard Classification of Education, ISCED-2011, applied in the LFS, is applied; and from 2016, the update of the sectors/fields of study of both classifications (CNED-F and ISCED-F) is applied. These changes in the rankings represent a series break for some of the tables, as indicated in the accompanying notes.

European Share of Young High Growth Enterprises (Gazelles) in the Population of Active Enterprises in ICT by Country, 2023 Discover more data with ReportLinker!

license: apache-2.0 tags: - africa - sustainable-development-goals - world-health-organization - development

  Children and young people achieving a minimum proficiency level in reading (%) - Primary education





  Dataset Description

This dataset provides country-level data for the indicator "4.1.1 Children and young people achieving a minimum proficiency level in reading (%) - Primary education" across African nations, sourced from the World Health Organization's… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/children-and-young-people-achieving-a-minimum-proficiency-le-for-african-countries.

Young people's at-risk-of-poverty or exclusion rate by sex and country of birth