This statistic shows the age structure in Kenya from 2013 to 2023. In 2023, about 37.22 percent of Kenya's total population were aged 0 to 14 years.

The largest population group in Kenya, as of 2020, comprised people aged **** years, accounting for nearly ** percent of the country's population. From a gender perspective, there were around **** million males and **** million females within this range of ages. The second biggest group consisted of inhabitants aged 25 to 54 years, with **** million men and **** million women. Among Tanzanians aged ***** years and 65 years and older, the female count was slightly higher than the male one.

This dataset shows the Mombasa population pyramid by Age group as reported by the Kenya National Bureau of statistics during the 2009 National census

Machakos Population Pyramid Age Groups - 2009 .Dataset based on male and female by age group

Dataset on Marsabit Population Pyramid Age Groups - 2009.Based on Male and female populations by age group.

Male and female populations by age group.

Nandi Population Pyramid Age Groups 2009

Samburu Population Pyramid Age Groups 2009

Population Pyramid Age Groups, according to 2009 population census

Population Pyramid Age Groups, according to 2009 population census

Facebook was more popular among male than female users in all age groups in Kenya as of December 2024. The difference between men and women was larger between young people from 18 to 24 years, with male users accounting for **** percent in this age group, against **** percent of female users. Approximately ** million people used Facebook in Kenya within the same month, which represented **** percent of the country's population.

Vihiga Population Pyramid Age Groups 2009

Population Pyramid Age Groups, according to 2009 population census

In 2023, the annual population growth in Kenya increased by 0.1 percentage points (+5.21 percent) compared to 2022. In total, the population growth amounted to 1.98 percent in 2023. Population growth deals with the annual change in total population, and is affected by factors such as fertility, mortality, and migration.Find more key insights for the annual population growth in countries like Ethiopia and Tanzania.

These data were produced by the WorldPop Research Group at the University of Southampton. This work was part of the GRID3 project with funding from the United Nations Children's Fund (UNICEF) - Population Modelling for use in Routine Health Planning and Monitoring project (contract no. 43335861). Projects partners included the Kenya Unicef Regional and Country Offices, WorldPop research group at the University of Southampton and the Center for International Earth Science Information Network in the Columbia Climate School at Columbia University. Assane Gadiaga (WorldPop) led the input processing and the modelling work following the Random Forest (RF)-based dasymetric mapping approach developed by Stevens et al. (2015). Thomas Abbott supported the covariates processing work. In-country engagements were done by David Kyalo, Olena Borkovska (GRID3 Inc), Maria Muniz (Unicef). Using the 2009 and 2019 census data from the Kenya’s National Bureau of Statistics (KNBS), the US Census Bureau released the census-based total population projections, population by age and sex and digital sub-counties boundaries. Duygu Cihan helped in the preparation of these input population data. Attila N Lazar, Edith Darin and Heather Chamberlain advised on the modelling procedure. The work was overseen by Attila N Lazar and Andy J Tatem.

Distribution of Population age 3 Years and Above by highest Level of Education Reached, Area of Residence and Sex per Sub-County

This bar chart displays median age (year) by demonym using the aggregation average, weighted by population in Kenya. The data is filtered where the date is 2021. The data is about countries per year.

Percentage distribution of population (15-24 years) by Abilty to Read and Write, Age and Sex

Turkana Population Pyramid Age Groups 2009

Siaya Population Pyramid Age Groups 2009