Abstract

The Country Opinion Survey in Kenya assists the World Bank Group (WBG) in gaining a better understanding of how stakeholders in Kenya perceive the WBG. It provides the WBG with systematic feedback from national and local governments, multilateral/bilateral agencies, media, academia, the private sector, and civil society in Kenya on 1) their views regarding the general environment in Kenya; 2) their overall attitudes toward the WBG in Kenya; 3) overall impressions of the WBG’s effectiveness and results, knowledge work and activities, and communication and information sharing in Kenya; and 4) their perceptions of the WBG’s future role in Kenya.

Geographic coverage

Nairobi and other regions

Kind of data

Sample survey data [ssd]

Sampling procedure

A total of 541 stakeholders in Kenya were invited to provide their opinions regarding the WBG’s work by participating in a Country Opinion Survey from May 2023 to June 2023 . A list of potential participants was compiled by the WBG country team and the fielding agency. Participants were drawn from the Office of the President, Deputy President, Prime Cabinet Secretary, Attorney General, Cabinet Secretaries, Principal Secretaries, Chief Justice, Parliament, Government Institutions, County Governments, Bilateral/ Multilateral Agencies, the Private Sector, Civil Society, Academia, and the Media.

Mode of data collection

Internet [int]

Research instrument

The survey was implemented in English

Response rate

The response rate was 60% The results of this year’s survey were compared to the FY19 COS Survey with a response rate of 86% (N=423). Comparing responses across Country Surveys reflects changes in attitudes over time, as well as changes in respondent samples, changes in methodology, and changes to the survey instrument itself. To reduce the influence of the latter factor, only those questions with similar response scales/options were analyzed. This year’s survey saw an increased outreach to and/or response from government principles and the private sector, but a decreased response from government institutions. These differences in stakeholder composition between the two years should be taken into consideration when interpreting the results of the past year comparison analyses.

Graph and download economic data for Gross Domestic Product Per Capita for Kenya (PCAGDPKEA646NWDB) from 1960 to 2024 about Kenya, per capita, and GDP.

The Gross Domestic Product (GDP) in Kenya was worth 124.50 billion US dollars in 2024, according to official data from the World Bank. The GDP value of Kenya represents 0.12 percent of the world economy. This dataset provides - Kenya GDP - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Abstract

The World Bank in collaboration with the Kenya National Bureau of Statistics and the University of California, Berkeley are conducting the Kenya COVID-19 Rapid Response Phone Survey to track the socioeconomic impacts of the COVID-19 pandemic, the recovery from it as well as other shocks to provide timely data to inform policy. This dataset contains information from eight waves of the COVID-19 RRPS, which is part of a panel survey that targets Kenyan nationals and started in May 2020. The same households were interviewed every two months for five survey rounds, in the first year of data collection and every four months thereafter, with interviews conducted using Computer Assisted Telephone Interviewing (CATI) techniques.

The data set contains information from two samples of Kenyan households. The first sample is a randomly drawn subset of all households that were part of the 2015/16 Kenya Integrated Household Budget Survey (KIHBS) Computer-Assisted Personal Interviewing (CAPI) pilot and provided a phone number. The second was obtained through the Random Digit Dialing method, by which active phone numbers created from the 2020 Numbering Frame produced by the Kenya Communications Authority are randomly selected. The samples cover urban and rural areas and are designed to be representative of the population of Kenya using cell phones. Waves 1-7 of this survey include information on household background, service access, employment, food security, income loss, transfers, health, and COVID-19 knowledge and vaccinations. Wave 8 focused on how households were exposed to shocks, in particular adverse weather shocks and the increase in the price of food and fuel, but also included parts of the previous modules on household background, service access, employment, food security, income loss, and subjective wellbeing.

The data is uploaded in three files. The first is the hh file, which contains household level information. The ‘hhid’, uniquely identifies all household. The second is the adult level file, which contains data at the level of adult household members. Each adult in a household is uniquely identified by the ‘adult_id’. The third file is the child level file, available only for waves 3-7, which contains information for every child in the household. Each child in a household is uniquely identified by the ‘child_id’.

The duration of data collection and sample size for each completed wave was: Wave 1: May 14 to July 7, 2020; 4,061 Kenyan households Wave 2: July 16 to September 18, 2020; 4,492 Kenyan households Wave 3: September 28 to December 2, 2020; 4,979 Kenyan households Wave 4: January 15 to March 25, 2021; 4,892 Kenyan households Wave 5: March 29 to June 13, 2021; 5,854 Kenyan households Wave 6: July 14 to November 3, 2021; 5,765 Kenyan households Wave 7: November 15, 2021, to March 31, 2022; 5,633 Kenyan households Wave 8: May 31 to July 8, 2022: 4,550 Kenyan households

The same questionnaire is also administered to refugees in Kenya, with the data available in the UNHCR microdata library: https://microdata.unhcr.org/index.php/catalog/296/

Geographic coverage

National coverage covering rural and urban areas

Analysis unit

Household, Individual

Sampling procedure

The COVID-19 RRPS with Kenyan households has two samples. The first sample consists of households that were part of the 2015/16 KIHBS CAPI pilot and provided a phone number. The 2015/16 KIHBS CAPI pilot is representative at the national level stratified by county and place of residence (urban and rural areas). At least one valid phone number was obtained for 9,007 households and all of them were included in the COVID-19 RRPS sample. The target respondent was the primary male or female household member from the 2015/16 KIHBS CAPI pilot. The second sample consists of households selected using the Random Digit Dialing method. A list of random mobile phone numbers was created using a random number generator from the 2020 Numbering Frame produced by the Kenya Communications Authority. The initial sampling frame therefore consisted of 92,999,970 randomly ordered phone numbers assigned to three networks: Safaricom, Airtel and Telkom. An introductory text message was sent to 5,000 randomly selected numbers to determine if numbers were in operation. Out of these, 4,075 were found to be active and formed the final sampling frame. There was no stratification and individuals that were called were asked about the households they live in. Until wave 7 sampled households that were not reached in earlier waves were also contacted along with households that were interviewed before. In wave 8 only households that had previously participated in the survey were contacted for interview. The “wave” variable represents in which wave the households were interviewed in.

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

The questionnaire was administered in English and is provided as a resource in pdf format. Additionally, questionnaires for each wave are also provided in Excel format coded for SCTO. The same questionnaire is also administered to refugees in Kenya, with the data available in the UNHCR microdata library: https://microdata.unhcr.org/index.php/catalog/296/

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).

Contains data from the World Bank's data portal. There is also a consolidated country dataset on HDX.

Education is one of the most powerful instruments for reducing poverty and inequality and lays a foundation for sustained economic growth. The World Bank compiles data on education inputs, participation, efficiency, and outcomes. Data on education are compiled by the United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics from official responses to surveys and from reports provided by education authorities in each country.

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).

Contains data from the World Bank's data portal covering the following topics which also exist as individual datasets on HDX: Agriculture and Rural Development, Aid Effectiveness, Economy and Growth, Education, Energy and Mining, Environment, Financial Sector, Health, Infrastructure, Social Protection and Labor, Poverty, Private Sector, Public Sector, Science and Technology, Social Development, Urban Development, Gender, Millenium development goals, Climate Change, External Debt, Trade.

Graph and download economic data for Gross National Income for Kenya (MKTGNIKEA646NWDB) from 1960 to 2024 about Kenya, GNI, and income.

Population growth (annual %) in Kenya was reported at 1.9575 % in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Kenya - Population growth (annual %) - actual values, historical data, forecasts and projections were sourced from the World Bank on August of 2025.

Kenya KE: Oil Rents: % of GDP data was reported at 0.000 % in 2016. This stayed constant from the previous number of 0.000 % for 2015. Kenya KE: Oil Rents: % of GDP data is updated yearly, averaging 0.000 % from Dec 1971 (Median) to 2016, with 46 observations. Kenya KE: Oil Rents: % of GDP 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: Land Use, Protected Areas and National Wealth. Oil rents are the difference between the value of crude oil production at regional prices and total costs of production.; ; World Bank staff estimates based on sources and methods described in 'The Changing Wealth of Nations 2018: Building a Sustainable Future' (Lange et al 2018).; Weighted average;

Graph and download economic data for Constant GDP per capita for Kenya (NYGDPPCAPKDKEN) from 1960 to 2024 about Kenya, per capita, real, and GDP.

Graph and download economic data for Financial System Deposits to GDP for Kenya (DDDI08KEA156NWDB) from 1961 to 2021 about Kenya, deposits, financial, and GDP.

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

The International Development Association (IDA) credits are public and publicly guaranteed debt extended by the World Bank Group. IDA provides development credits, grants and guarantees to its recipient member countries to help meet their development needs. Credits from IDA are at concessional rates. Data are in U.S. dollars calculated using historical rates. This dataset contains the latest available snapshot of the IDA Statement of Credits and Grants.

Abstract

Currency exchange rate is an important metric to inform economic policy but traditional sources are often produced with delay during crises and only at an aggregate level. This may poorly reflect the actual rate trends in rural or poverty-stricken areas, where large populations reside in fragile situations. This data set includes currency exchange rate estimates and is intended to help gain insight in price developments beyond what can be formally measured by traditional methods. The estimates are generated using a machine-learning approach that imputes ongoing subnational price surveys, often with accuracy similar to direct measurement of prices. The data set provides new opportunities to investigate local price dynamics in areas where populations are sensitive to localized price shocks and where traditional data are not available.

Geographic coverage notes

The data cover the following sub-national areas: Coast, North Eastern, Nairobi, Rift Valley, , Eastern, Central, Nyanza, Market Average

GDP deflator (base year varies by country) in Kenya was reported at 154 year in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Kenya - GDP deflator (base year varies by country) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

This dataset contains raw response data to a nano-survey that was conducted in Indonesia and Kenya on the demand for open financial data. You can read more about the project here: (http://bit.ly/OpenDemand). A nano-survey is an innovative technology that extends a brief survey to a random sampling of internet users. Note: "NA" indicates "No Answer."

Kenya KE: Depth of the Food Deficit: Kilocalories per Person per Day data was reported at 135.000 kcal in 2016. This records a decrease from the previous number of 136.000 kcal for 2015. Kenya KE: Depth of the Food Deficit: Kilocalories per Person per Day data is updated yearly, averaging 217.000 kcal from Dec 1992 (Median) to 2016, with 25 observations. The data reached an all-time high of 254.000 kcal in 1995 and a record low of 135.000 kcal in 2016. Kenya KE: Depth of the Food Deficit: Kilocalories per Person per Day 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: Health Statistics. The depth of the food deficit indicates how many calories would be needed to lift the undernourished from their status, everything else being constant. The average intensity of food deprivation of the undernourished, estimated as the difference between the average dietary energy requirement and the average dietary energy consumption of the undernourished population (food-deprived), is multiplied by the number of undernourished to provide an estimate of the total food deficit in the country, which is then normalized by the total population.; ; Food and Agriculture Organization, Food Security Statistics.; Weighted average;

The International Bank for Reconstruction and Development (IBRD) loans are public and publicly guaranteed debt extended by the World Bank Group. IBRD loans are made to, or guaranteed by, countries that are members of IBRD. IBRD may also make loans to IFC. IBRD lends at market rates. Data are in U.S. dollars calculated using historical rates. This dataset contains the latest available snapshot of the Statement of Loans.