8 datasets found
  1. Extreme poverty rate in Kenya 2016-2030

    • statista.com
    Updated Nov 28, 2025
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    Statista (2025). Extreme poverty rate in Kenya 2016-2030 [Dataset]. https://www.statista.com/statistics/1227076/extreme-poverty-rate-in-kenya/
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    Dataset updated
    Nov 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Kenya
    Description

    In 2025, *** percent of Kenya’s population live below **** U.S. dollars per day. This meant that over 8.9 million Kenyans were in extreme poverty, most of whom were in rural areas. Over *** million Kenyans in rural communities lived on less than **** U.S. dollars daily, an amount *** times higher than that recorded in urban regions. Nevertheless, the poverty incidence has declined compared to 2020. That year, businesses closed, unemployment increased, and food prices soared due to the coronavirus (COVID-19) pandemic. Consequently, the country witnessed higher levels of impoverishment, although improvements were already visible in 2021. Overall, the poverty rate in Kenya is expected to decline to ** percent by 2025. Poverty triggers food insecurity Reducing poverty in Kenya puts the country on the way to enhancing food security. As of November 2021, *** million Kenyans lacked sufficient food for consumption. That corresponded to **** percent of the country's population. Also, in 2021, over one-quarter of Kenyan children under five years suffered from chronic malnutrition, a growth failure resulting from a lack of adequate nutrients over a long period. Another *** percent of the children were affected by acute malnutrition, which concerns a rapid deterioration in the nutritional status over a short period. A country where prosperity and poverty walk side by side The poverty incidence in Kenya contrasts with the country's economic development. In 2021, Kenya ranked among the ten highest GDPs in Africa, at almost *** billion U.S. dollars. Moreover, its gross national income per capita has increased to ***** U.S. dollars over the last 10 years, a growth of above**** percent. Generally, while poverty decreased in the country during the same period, Kenya still seems to be far from reaching the United Nation's Sustainable Development Goals (SDGs) to eliminate extreme poverty by 2030.

  2. Extreme poverty as share of global population in Africa 2025, by country

    • statista.com
    Updated Nov 28, 2025
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    Statista (2025). Extreme poverty as share of global population in Africa 2025, by country [Dataset]. https://www.statista.com/statistics/1228553/extreme-poverty-as-share-of-global-population-in-africa-by-country/
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    Dataset updated
    Nov 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2025
    Area covered
    Africa
    Description

    In 2025, nearly 11.7 percent of the world population in extreme poverty, with the poverty threshold at 2.15 U.S. dollars a day, lived in Nigeria. Moreover, the Democratic Republic of the Congo accounted for around 11.7 percent of the global population in extreme poverty. Other African nations with a large poor population were Tanzania, Mozambique, and Madagascar. Poverty levels remain high despite the forecast decline Poverty is a widespread issue across Africa. Around 429 million people on the continent were living below the extreme poverty line of 2.15 U.S. dollars a day in 2024. Since the continent had approximately 1.4 billion inhabitants, roughly a third of Africa’s population was in extreme poverty that year. Mozambique, Malawi, Central African Republic, and Niger had Africa’s highest extreme poverty rates based on the 2.15 U.S. dollars per day extreme poverty indicator (updated from 1.90 U.S. dollars in September 2022). Although the levels of poverty on the continent are forecast to decrease in the coming years, Africa will remain the poorest region compared to the rest of the world. Prevalence of poverty and malnutrition across Africa Multiple factors are linked to increased poverty. Regions with critical situations of employment, education, health, nutrition, war, and conflict usually have larger poor populations. Consequently, poverty tends to be more prevalent in least-developed and developing countries worldwide. For similar reasons, rural households also face higher poverty levels. In 2024, the extreme poverty rate in Africa stood at around 45 percent among the rural population, compared to seven percent in urban areas. Together with poverty, malnutrition is also widespread in Africa. Limited access to food leads to low health conditions, increasing the poverty risk. At the same time, poverty can determine inadequate nutrition. Almost 38.3 percent of the global undernourished population lived in Africa in 2022.

  3. Kenya - County poverty rates estimates

    • data.amerigeoss.org
    csv
    Updated Mar 16, 2022
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    UN Humanitarian Data Exchange (2022). Kenya - County poverty rates estimates [Dataset]. https://data.amerigeoss.org/sk/dataset/kenya-county-poverty-rates-estimates-based-on-kihbs-data-for-constituencies-in-2005-6
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    csv(1143)Available download formats
    Dataset updated
    Mar 16, 2022
    Dataset provided by
    United Nationshttp://un.org/
    Area covered
    Kenya
    Description

    This dataset contains information on County poverty rates estimates which is based on Kenya Integrated Household Budget Survey ( KIHBS) data for Constituencies in 2005/6

  4. Number of people living in extreme poverty in South Africa 2016-2030

    • statista.com
    Updated Oct 23, 2024
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    Statista (2024). Number of people living in extreme poverty in South Africa 2016-2030 [Dataset]. https://www.statista.com/statistics/1263290/number-of-people-living-in-extreme-poverty-in-south-africa/
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    Dataset updated
    Oct 23, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    South Africa, Africa
    Description

    As of 2024, around **** million people in South Africa are living in extreme poverty, with the poverty threshold at **** U.S. dollars daily. This means that ******* more people were pushed into poverty compared to 2023. Moreover, the headcount was forecast to increase in the coming years. By 2030, over **** million South Africans will live on a maximum of **** U.S. dollars per day. Who is considered poor domestically? Poverty is measured using several matrices. For example, local authorities tend to rely on the national poverty line, assessed based on consumer price indices (CPI) of a basket of goods of food and non-food components. In 2023, the domestic poverty line in South Africa stood at ***** South African rand per month (around ***** U.S. dollars per month). According to a survey, social inequality and poverty worried a significant share of the South African respondents. As of September 2024, some ** percent of the respondents reported that they were worried about the state of poverty and unequal income distribution in the country.   Eastern Cape residents received more grants South Africa’s labor market has struggled to absorb the country’s population. In 2023, almost a third of the economically active population was unemployed. Local authorities employ relief assistance and social grants in an attempt to reduce poverty and assist poor individuals. In 2023, almost ** percent of South African households received state support, with the majority share benefiting in the Eastern Cape.

  5. i

    World Bank Country Survey 2012 - Kenya

    • catalog.ihsn.org
    • datacatalog.ihsn.org
    • +1more
    Updated Mar 29, 2019
    + more versions
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    Public Opinion Research Group (2019). World Bank Country Survey 2012 - Kenya [Dataset]. https://catalog.ihsn.org/index.php/catalog/4449
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    Dataset updated
    Mar 29, 2019
    Dataset authored and provided by
    Public Opinion Research Group
    Time period covered
    2012
    Area covered
    Kenya
    Description

    Abstract

    The World Bank is interested in gauging the views of clients and partners who are either involved in development in Kenya or who observe activities related to social and economic development. The World Bank Country Assessment Survey is meant to give the World Bank's team that works in Kenya, greater insight into how the Bank's work is perceived. This is one tool the World Bank uses to assess the views of its critical stakeholders. With this understanding, the World Bank hopes to develop more effective strategies, outreach and programs that support development in Kenya. The World Bank commissioned an independent firm to oversee the logistics of this effort in Kenya.

    The survey was designed to achieve the following objectives: - Assist the World Bank in gaining a better understanding of how stakeholders in Kenya perceive the Bank; - Obtain systematic feedback from stakeholders in Kenya regarding: · Their views regarding the general environment in Kenya; · Their overall attitudes toward the World Bank in Kenya; · Overall impressions of the World Bank's effectiveness and results, knowledge and research, and communication and information sharing in Kenya; and · Perceptions of the World Bank's future role in Kenya. - Use data to help inform the Kenya country team's strategy.

    Geographic coverage

    National

    Analysis unit

    Stakeholder

    Universe

    Stakeholders of the World Bank in Kenya

    Kind of data

    Sample survey data [ssd]

    Sampling procedure

    In April-June 2012, 600 stakeholders of the World Bank in Kenya were invited to provide their opinions on the Bank's assistance to the country by participating in a country survey. Participants in the survey were drawn from among the office of the President, Prime Minister; the office of a Minister; the office of a Parliamentarian; employees of a ministry, ministerial department, or implementation agency; consultants/contractors working on World Bank-supported projects/programs; project management units (PMUs) overseeing implementation of a project; local government officials or staff; bilateral agencies; multilateral agencies; private sector organizations; private foundations; the financial sector/private banks; NGOs; community-based organizations (CBOs); the media; independent government institutions; trade unions; faith-based groups; academia/research institutes/think tanks; and the judiciary branch.

    Mode of data collection

    Mail Questionnaire [mail]

    Research instrument

    The Questionnaire consists of 8 Sections:

    A. General Issues facing Kenya: Respondents were asked to indicate whether Kenya is headed in the right direction, what they thought were the top three most important development priorities, and which areas would contribute most to reducing poverty and generating economic growth in Kenya.

    B. Overall Attitudes toward the World Bank: Respondents were asked to rate their familiarity with the World Bank, the Bank's effectiveness in Kenya, Bank staff preparedness, the extent to which the Bank should seek to influence the global development agenda, their agreement with various statements regarding the Bank's work, and the extent to which the Bank is an effective development partner. Respondents were also asked to indicate the sectoral areas on which it would be most productive for the Bank to focus its resources, the Bank's greatest values and greatest weaknesses in its work, the most and least effective instruments in helping to reduce poverty in Kenya, with which groups the Bank should collaborate more, and to what reasons respondents attributed failed or slow reform efforts.

    C. World Bank Effectiveness and Results: Respondents were asked to rate the extent to which the Bank's work helps achieve development results in Kenya, the extent to which the Bank meets Kenya's need for knowledge services and financial instruments, and the Bank's level of effectiveness across thirty-five development areas, such as poverty reduction, economic growth, governance, an others.

    D. The World Bank's Knowledge: Respondents were asked to indicate how frequently they consult Bank knowledge/research, the areas on which the Bank should focus its research efforts, and to rate the effectiveness and quality of the Bank's knowledge/research, including how significant of a contribution it makes to development results, its technical quality, the Bank's effectiveness at providing linkage to non-Bank expertise, and the extent to which Kenya received value for money from the Bank's fee-for-service products.

    E. Working with the World Bank: Respondents were asked to rate their level of agreement with a series of statements regarding working with the Bank, such as the World Bank's "Safeguard Policy" requirements being reasonable, the Bank imposing reasonable conditions on its lending, disbursing funds promptly, increasing Kenya's institutional capacity, and providing effective implementation support.

    F. The Future Role of the World Bank in Kenya: Respondents were asked to rate how significant a role the Bank should play in Kenya's development in the near future and to indicate what the Bank should do to make itself of greater value in Kenya.

    G. Communication and Information Sharing: Respondents were asked to indicate where they get information about economic and social development issues, how they prefer to receive information from the Bank, and their usage and evaluation of the Bank's websites. Respondents were asked about their awareness of the Bank's Access to Information policy, past information requests from the Bank, and their level of agreement that they use more data from the World Bank as a result of the Bank's Open Data policy. Respondents were also asked their level of agreement that they know how to find information from the Bank and that the Bank is responsive to information requests.

    H. Background Information: Respondents were asked to indicate their current position, specialization, whether they professionally collaborate with the World Bank, their exposure to the Bank in Kenya, and their geographic location.

    Response rate

    A total of 373 stakeholders participated in the country survey (62% response rate).

  6. Socio demographic, economic and Health related and/obstetrical...

    • plos.figshare.com
    xls
    Updated Jun 13, 2023
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    Bayley Adane Takele; Lemma Derseh Gezie; Tesfa Sewunet Alamneh (2023). Socio demographic, economic and Health related and/obstetrical characteristics of children and mothers; from recent DHS data of 35 SSA counties, 2008–2020. [Dataset]. http://doi.org/10.1371/journal.pone.0275889.t001
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    xlsAvailable download formats
    Dataset updated
    Jun 13, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Bayley Adane Takele; Lemma Derseh Gezie; Tesfa Sewunet Alamneh
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Socio demographic, economic and Health related and/obstetrical characteristics of children and mothers; from recent DHS data of 35 SSA counties, 2008–2020.

  7. w

    World Bank Country Survey 2013 - Afghanistan, Angola, Albania, Argentina,...

    • microdata.worldbank.org
    • catalog.ihsn.org
    • +1more
    Updated Apr 26, 2021
    + more versions
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    Public Opinion Research Group (2021). World Bank Country Survey 2013 - Afghanistan, Angola, Albania, Argentina, Armenia, Azerbaijan, Burundi, Benin, Burkina Faso, Bulgaria, Brazil, Bhutan, Botswana, Central African R... [Dataset]. https://microdata.worldbank.org/index.php/catalog/1923
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    Dataset updated
    Apr 26, 2021
    Dataset authored and provided by
    Public Opinion Research Group
    Time period covered
    2012 - 2013
    Area covered
    Brazil, Albania, Armenia, Angola, Azerbaijan, Burkina Faso, Benin, Afghanistan, Bulgaria, Botswana
    Description

    Abstract

    In an environment where the Bank must demonstrate its impact and value, it is critical that the institution collects and tracks empirical data on how its work is perceived by clients, partners and other stakeholders in our client countries.

    In FY 2013, the Country Opinion Survey Program was scaled up in order to: - Annually assess perceptions of the World Bank among key stakeholders in a representative sample of client countries; - Track these opinions over time, representative of: regions, stakeholders, country lending levels, country income/size levels, etc. - Inform strategy and decision making: apply findings to challenges to ensure real time response at several levels: corporate, regional, country - Obtain systematic feedback from stakeholders regarding: - The general environment in their country; - Value of the World Bank in their country; - World Bank's presence (work, relationships, etc.); - World Bank's future role in their country. - Create a feedback loop that allows data to be shared with stakeholders.

    Geographic coverage

    The data from the 41 country surveys were combined in this review. Although individual countries are not specified, each country was designated as part of a particular region: Africa (AFR), East Asia (EAP), Europe/Central Asia (ECA), Latin America (LAC), Middle East/North Africa (MNA), and South Asia (SAR).

    Analysis unit

    Client Country

    Kind of data

    Sample survey data [ssd]

    Sampling procedure

    In FY 2013 (July 2012 to July 1, 2013), 26,014 stakeholders of the World Bank in 41 different countries were invited to provide their opinions on the Bank's assistance to the country by participating in a country survey. Participants in these surveys were drawn from among senior government officials (from the office of the Prime Minister, President, Minister, Parliamentarian; i.e., elected officials), staff of ministries (employees of ministries, ministerial departments, or implementation agencies, and government officials; i.e., non-elected government officials, and those attached to agencies implementing Bank-supported projects), consultants/contractors working on World Bank-supported projects/programs; project management units (PMUs) overseeing implementation of a project; local government officials or staff, bilateral and multilateral agency staff, private sector organizations, private foundations; the financial sector/private banks; non-government organizations (NGOs, including CBOs), the media, independent government institutions (e.g., regulatory agencies, central banks), trade unions, faith-based groups, members of academia or research institutes, and members of the judiciary.

    Mode of data collection

    Mail Questionnaire [mail]

    Research instrument

    The Questionnaire consists of the following sections:

    A. General Issues facing a country: Respondents were asked to indicate whether the country is headed in the right direction, what they thought were the top three most important development priorities, and which areas would contribute most to reducing poverty and generating economic growth in the country.

    B. Overall Attitudes toward the World Bank: Respondents were asked to rate their familiarity with the World Bank, the Bank's effectiveness in the country, the extent to which the Bank meets the country's needs for knowledge services and financial instruments, and the extent to which the Bank should seek or does seek to influence the global development agenda. Respondents were also asked to rate their agreement with various statements regarding the Bank's work and the extent to which the Bank is an effective development partner. Furthermore, respondents were asked to indicate the sectoral areas on which it would be most productive for the Bank to focus its resources, the Bank's greatest values and greatest weaknesses in its work, the most and least effective instruments in helping to reduce poverty in the country, with which groups the Bank should collaborate more, and to what reasons respondents attributed failed or slow reform efforts.

    C. World Bank Effectiveness and Results: Respondents were asked to rate the extent to which the Bank's work helps achieve sustainable development results in the country, and the Bank's level of effectiveness across thirty-five development areas, such as economic growth, public sector governance, basic infrastructure, social protection, and others.

    D. The World Bank's Knowledge: Respondents were asked to indicate the areas on which the Bank should focus its research efforts, and to rate the effectiveness and quality of the Bank's knowledge/research, including how significant of a contribution it makes to development results, its technical quality, and the Bank's effectiveness at providing linkage to non-Bank expertise.

    E. Working with the World Bank: Respondents were asked to rate their level of agreement with a series of statements regarding working with the Bank, such as the World Bank's "Safeguard Policy" requirements being reasonable, the Bank imposing reasonable conditions on its lending, disbursing funds promptly, and increasing the country's institutional capacity.

    F. The Future Role of the World Bank in the country: Respondents were asked to rate how significant a role the Bank should play in the country's development in the near future, and to indicate what the Bank should do to make itself of greater value in the country.

    G. Communication and Information Sharing: Respondents were asked to indicate where they get information about economic and social development issues, how they prefer to receive information from the Bank, their access to the Internet, and their usage and evaluation of the Bank's websites. Respondents were asked about their awareness of the Bank's Access to Information policy, past information requests from the Bank, and their level of agreement that they use more data from the World Bank as a result of the Bank's Open Data policy. Respondents were also asked to indicate their level of agreement that they know how to find information from the Bank and that the Bank is responsive to information requests.

    H. Background Information: Respondents were asked to indicate their current position, specialization, whether they professionally collaborate with the World Bank, their exposure to the Bank in the country, and their geographic location.

    Response rate

    A total of 9,279 stakeholders (36% response rate) participated and are part of this review.

  8. n

    Household Budget Survey 2017-2018 - Tanzania

    • microdata.nbs.go.tz
    • catalog.ihsn.org
    • +1more
    Updated May 15, 2022
    + more versions
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    National Bureau of Statistics (2022). Household Budget Survey 2017-2018 - Tanzania [Dataset]. https://microdata.nbs.go.tz/index.php/catalog/30
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    Dataset updated
    May 15, 2022
    Dataset authored and provided by
    National Bureau of Statistics
    Time period covered
    2017 - 2018
    Area covered
    Tanzania
    Description

    Abstract

    Tanzania Mainland through the National Bureau of Statistics (NBS) has been conducting the household budget surveys (HBSs) since 1969 to collect data on consumption, expenditure and the poverty situation in the country. The first round of scientific HBSs that represented urban and rural areas was conducted in 1991. Since then NBS has successfully completed five rounds of scientific HBS including the 2017- 18 HBS. The HBS data series is the major sources of information for estimation of poverty and its associated characteristics. It provides empirical evidence for users to understand the income (using the consumption expenditure as proxy to income) dimension of poverty.

    Objectives of the Survey: The main objective of the 2017-18 HBS was to obtain current information on poverty estimation and its associated characteristics and to assess the progress made in improving the living standards of the people. The result will be used for monitoring the implementation of national, regional and global commitments such as Tanzania Development Vision 2025, national Second Five Year Development Plan (FYDP-II 2016/17 2020/21), East Africa Community Vision 2050 (EAC 2050), Africa Development Agenda 2063 (ADA 2063) and Global Agenda 2030 on Sustainable Development Goals (2030 SDGs). Specifically, the 2017-18 HBS aimed at: - Providing series of data for assessing poverty and changes in the households' living standards over time; and for monitoring and evaluation of the impacts of socio-economic policies and programs on the welfare of people; - Providing baseline data for compiling household accounts such as the Private Final Consumption Expenditure (PFCE) component of the demand side of Gross Domestic Product (GDP) as recommended in the System of National Accounts (SNA); and - Rebasing of GDP and Consumer Price Indices (CPI).

    Geographic coverage

    • National coverage for Tanzania Mainland
    • Rural and urban areas
    • Regions: Dodoma, Arusha, Kilimanjaro, Tanga, Morogoro, Pwani, Dar es Salaam, Lindi, Mtwara, Ruvuma, Iringa, Mbeya, Singida, Tabora, Rukwa, Kigoma, Shinyanga, Kagera, Mwanza, Mara, Manyara, Njombe, Katavi, Simiyu, Geita, and Songwe.

    Analysis unit

    • Individuals
    • Households
    • Communities

    Universe

    The survey covered all members residing in private households in Tanzania Mainland.

    Kind of data

    Sample survey data [ssd]

    Sampling procedure

    The sample for the 2017-18 HBS covered the population residing in private households in Tanzania Mainland. A representative probability sample of 9,552 households was selected. This sample was designed to allow separate estimates for each of the 26 regions of the Tanzania Mainland, also urban and rural areas separately at the national level.

    The 2017-18 HBS adopted a two-stage cluster sample design. The first stage involved selection of enumeration areas (primary sampling units - PSUs) from the 2012 Population and Housing Census (2012 PHC) Frame. A total of 796 PSUs (69 from Dar es Salaam, 167 from Other Urban Areas and 560 from Rural Areas) was selected. The NBS carried out listing exercise in which households residing in selected PSUs were freshly listed to update the 2012 PHC list before selecting households.

    The second stage of sampling involved systematic sampling of households from the updated PSUs list. A sample of 12 households was selected from each selected PSU. All household members regardless of their age, who were usual members of the selected households and all visitors who were present in the household on the night before the survey interview, were eligible for the survey.

    Mode of data collection

    Computer Assisted Personal Interview [capi]

    Research instrument

    The 2017-18 HBS was implemented using six electronic questionnaires (Forms I - V and VII) and a paper questionnaire (Form VI). The information collected was the following: - Form I: Demographics; parents' survivorship; birth delivery and breast feeding; citizenship and migration; education; literacy; health; disability; insurances, individual asset ownership and identification documents; labour market indicators; non-farm household businesses; and individual non-wage income; - Form II: Dwellings; utility; water and sanitation; transport and communications; tourism; investments; banking; and households’ recall expenditures; children and adult mortality. The form also contained the TASAF and food security modules; - Form III: Crops, livestock and food security; - Form IV: Time use (5+ years Household members); - Form V: Household diary for recording daily household consumption and expenditure over a 14-days period; - Form VI: Individual diary for recording daily consumption and expenditure for each household member age five years or more; and - Form VII: Access to community services (selected communities).

    The questionnaires are in English, and provided as external resources.

    Response rate

    Out of 9,552 selected households, 9,465 households participated in the survey yielding a response rate of 99 percent.

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Statista (2025). Extreme poverty rate in Kenya 2016-2030 [Dataset]. https://www.statista.com/statistics/1227076/extreme-poverty-rate-in-kenya/
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Extreme poverty rate in Kenya 2016-2030

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9 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Nov 28, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
Kenya
Description

In 2025, *** percent of Kenya’s population live below **** U.S. dollars per day. This meant that over 8.9 million Kenyans were in extreme poverty, most of whom were in rural areas. Over *** million Kenyans in rural communities lived on less than **** U.S. dollars daily, an amount *** times higher than that recorded in urban regions. Nevertheless, the poverty incidence has declined compared to 2020. That year, businesses closed, unemployment increased, and food prices soared due to the coronavirus (COVID-19) pandemic. Consequently, the country witnessed higher levels of impoverishment, although improvements were already visible in 2021. Overall, the poverty rate in Kenya is expected to decline to ** percent by 2025. Poverty triggers food insecurity Reducing poverty in Kenya puts the country on the way to enhancing food security. As of November 2021, *** million Kenyans lacked sufficient food for consumption. That corresponded to **** percent of the country's population. Also, in 2021, over one-quarter of Kenyan children under five years suffered from chronic malnutrition, a growth failure resulting from a lack of adequate nutrients over a long period. Another *** percent of the children were affected by acute malnutrition, which concerns a rapid deterioration in the nutritional status over a short period. A country where prosperity and poverty walk side by side The poverty incidence in Kenya contrasts with the country's economic development. In 2021, Kenya ranked among the ten highest GDPs in Africa, at almost *** billion U.S. dollars. Moreover, its gross national income per capita has increased to ***** U.S. dollars over the last 10 years, a growth of above**** percent. Generally, while poverty decreased in the country during the same period, Kenya still seems to be far from reaching the United Nation's Sustainable Development Goals (SDGs) to eliminate extreme poverty by 2030.

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