Graph and download economic data for Population, Total for Kenya (POPTOTKEA647NWDB) from 1960 to 2024 about Kenya and population.

Kenya Multidimensional Poverty Headcount Ratio: World Bank: % of total population data was reported at 38.500 % in 2021. This records a decrease from the previous number of 45.400 % for 2015. Kenya Multidimensional Poverty Headcount Ratio: World Bank: % of total population data is updated yearly, averaging 41.950 % from Dec 2015 (Median) to 2021, with 2 observations. The data reached an all-time high of 45.400 % in 2015 and a record low of 38.500 % in 2021. Kenya Multidimensional Poverty Headcount Ratio: World Bank: % of total population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Kenya – Table KE.World Bank.WDI: Social: Poverty and Inequality. The multidimensional poverty headcount ratio (World Bank) is the percentage of a population living in poverty according to the World Bank's Multidimensional Poverty Measure. The Multidimensional Poverty Measure includes three dimensions – monetary poverty, education, and basic infrastructure services – to capture a more complete picture of poverty.;World Bank, Poverty and Inequality Platform. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are mostly from the Luxembourg Income Study database. For more information and methodology, please see http://pip.worldbank.org.;;The World Bank’s internationally comparable poverty monitoring database now draws on income or detailed consumption data from more than 2000 household surveys across 169 countries. See the Poverty and Inequality Platform (PIP) for details (www.pip.worldbank.org).

Graph and download economic data for Population Growth for Kenya (SPPOPGROWKEN) from 1961 to 2024 about Kenya, population, and rate.

Individuals using the Internet (% of population) in Kenya was reported at 34.98 % in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Kenya - Individuals using the Internet (% of population) - actual values, historical data, forecasts and projections were sourced from the World Bank on November of 2025.

Population ages 15-64, male in Kenya was reported at 16865309 Persons in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Kenya - Population ages 15-64, male - actual values, historical data, forecasts and projections were sourced from the World Bank on November of 2025.

Population ages 15-64, female in Kenya was reported at 17106066 Persons in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Kenya - Population ages 15-64, female - actual values, historical data, forecasts and projections were sourced from the World Bank on November of 2025.

Population ages 15-64, male (% of male population) in Kenya was reported at 60.11 % in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Kenya - Population ages 15-64, male (% of total) - actual values, historical data, forecasts and projections were sourced from the World Bank on October of 2025.

Population ages 80 and above, female (% of female population) in Kenya was reported at 0.64525 % in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Kenya - Population ages 80 and above, female (% of female population) - actual values, historical data, forecasts and projections were sourced from the World Bank on October of 2025.

Population ages 75-79, male (% of male population) in Kenya was reported at 0.43498 % in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Kenya - Population ages 75-79, male (% of male population) - actual values, historical data, forecasts and projections were sourced from the World Bank on November of 2025.

Kenya KE: Population: Male: Ages 80 and Above: % of Male Population data was reported at 0.374 % in 2017. This records an increase from the previous number of 0.368 % for 2016. Kenya KE: Population: Male: Ages 80 and Above: % of Male Population data is updated yearly, averaging 0.337 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 0.374 % in 2017 and a record low of 0.256 % in 1960. Kenya KE: Population: Male: Ages 80 and Above: % of Male Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Kenya – Table KE.World Bank: Population and Urbanization Statistics. Male population between the ages 80 and above as a percentage of the total male population.; ; World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2017 Revision.; ;

Kenya KE: Population: Male: Ages 40-44: % of Male Population data was reported at 4.761 % in 2017. This records an increase from the previous number of 4.636 % for 2016. Kenya KE: Population: Male: Ages 40-44: % of Male Population data is updated yearly, averaging 3.661 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 4.761 % in 2017 and a record low of 2.837 % in 1985. Kenya KE: Population: Male: Ages 40-44: % of Male Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Kenya – Table KE.World Bank.WDI: Population and Urbanization Statistics. Male population between the ages 40 to 44 as a percentage of the total male population.; ; World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2017 Revision.; ;

Gathered for the GAFSP Open Data Services activity. This file contains summary statistics of population and population density by county 2019. Data collected by The Kenya National Bureau of Statistics (KNBS) and published in "The 2019 Kenya Population and Housing Census Volume I: Population by County and Sub-county."

Population ages 65-69, male (% of male population) in Kenya was reported at 1.1353 % in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Kenya - Population ages 65-69, male (% of male population) - actual values, historical data, forecasts and projections were sourced from the World Bank on October of 2025.

View yearly updates and historical trends for Kenya Population Growth. Source: World Bank. Track economic data with YCharts analytics.

Abstract

Financial inclusion is critical in reducing poverty and achieving inclusive economic growth. When people can participate in the financial system, they are better able to start and expand businesses, invest in their children’s education, and absorb financial shocks. Yet prior to 2011, little was known about the extent of financial inclusion and the degree to which such groups as the poor, women, and rural residents were excluded from formal financial systems.

By collecting detailed indicators about how adults around the world manage their day-to-day finances, the Global Findex allows policy makers, researchers, businesses, and development practitioners to track how the use of financial services has changed over time. The database can also be used to identify gaps in access to the formal financial system and design policies to expand financial inclusion.

Geographic coverage

National coverage.

Analysis unit

Individuals

Universe

The target population is the civilian, non-institutionalized population 15 years and above.

Kind of data

Observation data/ratings [obs]

Sampling procedure

The indicators in the 2017 Global Findex database are drawn from survey data covering almost 150,000 people in 144 economies-representing more than 97 percent of the world’s population (see table A.1 of the Global Findex Database 2017 Report for a list of the economies included). The survey was carried out over the 2017 calendar year by Gallup, Inc., as part of its Gallup World Poll, which since 2005 has annually conducted surveys of approximately 1,000 people in each of more than 160 economies and in over 150 languages, using randomly selected, nationally representative samples. The target population is the entire civilian, noninstitutionalized population age 15 and above. Interview procedure Surveys are conducted face to face in economies where telephone coverage represents less than 80 percent of the population or where this is the customary methodology. In most economies the fieldwork is completed in two to four weeks.

In economies where face-to-face surveys are conducted, the first stage of sampling is the identification of primary sampling units. These units are stratified by population size, geography, or both, and clustering is achieved through one or more stages of sampling. Where population information is available, sample selection is based on probabilities proportional to population size; otherwise, simple random sampling is used. Random route procedures are used to select sampled households. Unless an outright refusal occurs, interviewers make up to three attempts to survey the sampled household. To increase the probability of contact and completion, attempts are made at different times of the day and, where possible, on different days. If an interview cannot be obtained at the initial sampled household, a simple substitution method is used.

Respondents are randomly selected within the selected households. Each eligible household member is listed and the handheld survey device randomly selects the household member to be interviewed. For paper surveys, the Kish grid method is used to select the respondent. In economies where cultural restrictions dictate gender matching, respondents are randomly selected from among all eligible adults of the interviewer’s gender.

In economies where telephone interviewing is employed, random digit dialing or a nationally representative list of phone numbers is used. In most economies where cell phone penetration is high, a dual sampling frame is used. Random selection of respondents is achieved by using either the latest birthday or household enumeration method. At least three attempts are made to reach a person in each household, spread over different days and times of day.

The sample size was 1000.

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

The questionnaire was designed by the World Bank, in conjunction with a Technical Advisory Board composed of leading academics, practitioners, and policy makers in the field of financial inclusion. The Bill and Melinda Gates Foundation and Gallup Inc. also provided valuable input. The questionnaire was piloted in multiple countries, using focus groups, cognitive interviews, and field testing. The questionnaire is available in more than 140 languages upon request.

Questions on cash on delivery, saving using an informal savings club or person outside the family, domestic remittances, and agricultural payments are only asked in developing economies and few other selected countries. The question on mobile money accounts was only asked in economies that were part of the Mobile Money for the Unbanked (MMU) database of the GSMA at the time the interviews were being held.

Sampling error estimates

Estimates of standard errors (which account for sampling error) vary by country and indicator. For country-specific margins of error, please refer to the Methodology section and corresponding table in Demirgüç-Kunt, Asli, Leora Klapper, Dorothe Singer, Saniya Ansar, and Jake Hess. 2018. The Global Findex Database 2017: Measuring Financial Inclusion and the Fintech Revolution. Washington, DC: World Bank

Abstract

Since 1992, Kenya has been a generous host of refugees and asylum seekers, a population which today exceeds 500,000 people. The Kakuma Refugee Camps have long been among the largest hosting sites (about 40% of the total refugees in Kenya), and have become even larger in recent years, with an estimated 67 percent of the current refugee population arriving in the past five years. In 2015, UNHCR, the Government of Kenya, and partners established Kalobeyei Settlement, located 40 kilometers north of Kakuma, to reduce the population burden on the other camps and facilitate a shift towards an area-based development model that addresses the longer term prospects of both refugees and the host community. The refugee population makes up a significant share of the local population (an estimated 40 percent at the district level) and economy, engendering both positive and negative impacts on local Kenyans. While Kenya has emerged as a leader in measuring the impacts of forced displacement, refugees are not systematically included in the national household surveys that serve as the primary tools for measuring and monitoring poverty, labor markets and other welfare indicators at a country-wide level. As a result, comparison of poverty and vulnerability between refugees, host communities and nationals remains difficult. Initiated jointly by UNHCR and the World Bank, this survey replicates the preceding Kalobeyei SES (2018), designed to address these shortcomings and support the wider global vision laid out by the Global Refugee Compact and the Sustainable Development Goals. Data was collected in October 2019 to December 2019, covering about 2,122 households.

Geographic coverage

Kakuma Refugee Camp, Kenya

Analysis unit

Household and individual

Universe

Sampled household survey, representative of all refugees living in Kakuma refugee camp.

Kind of data

Sample survey data [ssd]

Sampling procedure

The Kakuma SES utilized a two-stage sampling process where the first stage samples dwellings, stratified by subcamp, followed by second-stage households. Dwellings were drawn as the primary sampling unit (PSU) from an up-to-date list of all dwellings in the camp provided by UNHCR shelter unit, which serves as the sampling frame. The sample was drawn with explicit stratification for the four Kakuma subcamps, with uniform probability for Kakuma 1-3. For Kakuma 4, the selection probability was slightly increased because of higher expected nonresponse

The survey was designed to accurately estimate socioeconomic indicators such as the poverty rate for group sof the population that have at least a 50 percent representation in the population. A 3 percent margin of error at a confidence level of 95 percent is considered accurate, resulting in a sample size of 2,122. Considering a 10 percent nonresponse rate, the target sample size was 2,347.

Sampling deviation

None

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

The following sections are included: household roster, education, employment, household characteristics, assets, access, vulnerabilities, social cohesion, coping mechanism, displacement and cunsumption and expenditure.

Cleaning operations

The dataset presented here has undergone light checking, cleaning and restructuring (data may still contain errors) as well as anonymization (includes removal of direct identifiers and sensitive variables, recoding and local suppression).

Response rate

The SES has a non-response rate of about 5%, mainly due to absence of respondent and refusal to participate in the survey

Population of compulsory school age, female (number) in Kenya was reported at 7843566 Persons in 2019, according to the World Bank collection of development indicators, compiled from officially recognized sources. Kenya - Population of compulsory school age, female - actual values, historical data, forecasts and projections were sourced from the World Bank on November of 2025.

School age population, upper secondary education, male (number) in Kenya was reported at 2516238 Persons in 2020, according to the World Bank collection of development indicators, compiled from officially recognized sources. Kenya - Population of the official age for upper secondary education, male - actual values, historical data, forecasts and projections were sourced from the World Bank on November of 2025.

School age population, lower secondary education, both sexes (number) in Kenya was reported at 2687620 Persons in 2020, according to the World Bank collection of development indicators, compiled from officially recognized sources. Kenya - Population of the official age for lower secondary education, both sexes - actual values, historical data, forecasts and projections were sourced from the World Bank on November of 2025.

Abstract

The STEP (Skills Toward Employment and Productivity) Measurement program is the first ever initiative to generate internationally comparable data on skills available in developing countries. The program implements standardized surveys to gather information on the supply and distribution of skills and the demand for skills in labor market of low-income countries.

The uniquely-designed Household Survey includes modules that measure the cognitive skills (reading, writing and numeracy), socio-emotional skills (personality, behavior and preferences) and job-specific skills (subset of transversal skills with direct job relevance) of a representative sample of adults aged 15 to 64 living in urban areas, whether they work or not. The cognitive skills module also incorporates a direct assessment of reading literacy based on the Survey of Adults Skills instruments. Modules also gather information about family, health and language.

Geographic coverage

• The STEP target population is the urban population aged 15 to 64 (inclusive).

Analysis unit

The units of analysis are the individual respondents and households. A household roster is undertaken at the start of the survey and the individual respondent is randomly selected among all household members aged 15 to 64 included. The random selection process was designed by the STEP team and compliance with the procedure is carefully monitored during fieldwork.

Universe

The target population is defined as all non-institutionalized persons aged 15 to 64 (inclusive) living in private dwellings in the urban areas of the country at the time of the data collection. This includes all residents, except foreign diplomats and non-nationals working for international organizations
The following are considered "institutionalized" and excluded from the STEP survey:
- Residents of institutions (prisons, hospitals, etc)
- Residents of senior homes and hospices
- Residents of other group dwellings such as college dormitories, halfway homes, workers' quarters, etc

Other acceptable exclusions are:
- Persons living outside the country at the time of data collection, e.g., students at foreign universities
Deviation Requested from the Standard: The statistical population is composed of core urban households and excludes the categories identified here, as well as itinerants (as classified in the Population Census 2009 in Kenya).

Kind of data

Sample survey data [ssd]

Sampling procedure

The sample size was 3894 households. The Kenya sample design is a stratified 3 stage sample design. The sample was stratified by 4 geographic areas: 1-Nairobi, 2-Other Large Cities (over 100,000 households), 3- Medium cities (60,000 to 100,000 HHs), and 4-Other Urban Areas. For detailed description of the sample design and sampling methodologies, refer to Part 3 of the National Survey Design Planning Report (NSDPR) as well as the STEP Survey Weighting Procedures Summary. Both documents are provided as external resources.

Sampling deviation

War marred and unstable regions of Kenya were excluded from the survey. Itinerants (as classified in the Population Census 2009 in Kenya) were also excluded.

Mode of data collection

Face-to-face [f2f]

Research instrument

The STEP survey instruments include: (i) A Background Questionnaire developed by the WB STEP team. (ii) A Reading Literacy Assessment developed by Educational Testing Services (ETS).

All countries adapted and translated both instruments following the STEP Technical Standards: 2 independent translators adapted and translated the Background Questionnaire and Reading Literacy Assessment, while reconciliation was carried out by a third translator. In Kenya the section of the questionnaire assessing behavior and personality traits (Module 6) was translated into Swahili to adapt to respondents' language preferences, so that the respondent could choose to answer in either English or Swahili.
- The survey instruments were both piloted as part of the survey pretest. - The adapted Background Questionnaires are provided in English as external resources. The Reading Literacy Assessment is protected by copyright and will not be published.

Cleaning operations

EEC Canada Inc. was responsible for data entry and processing.

The STEP Data management process is as follows:

1. Raw data is sent by the survey firm
2. The WB STEP team runs data checks on the Background Questionnaire data.
   • ETS runs data checks on the Reading Literacy Assessment data.
   • Comments and questions are sent back to the survey firm.
3. The survey firm reviews comments and questions. When a data entry error is identified, the survey firm corrects the data.
4. The WB STEP team and ETS check the data files are clean. This might require additional iterations with the survey firm.
5. Once the data has been checked and cleaned, the WB STEP team computes the weights. Weights are computed by the STEP team to ensure consistency across sampling methodologies.
6. ETS scales the Reading Literacy Assessment data.
7. The WB STEP team merges the Background Questionnaire data with the Reading Literacy Assessment data and computes derived variables.

Response rate

An overall response rate of 91.8% was achieved in the Kenya STEP Survey. Table 21 of the STEP Survey Weighting Procedures Summary provides the detailed percentage distribution by final status code.