Comprehensive dataset of 2 State Department Housing and Urban Developments in Kenya as of August, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.
Feed the Future seeks to reduce poverty and undernutrition in 19 developing countries including Kenya by focusing on accelerating growth of the agricultural sector, addressing root causes of undernutrition, and reducing gender inequality. This dataset (n=3,662, vars=15) contain data from sub-Module E5 regarding non-food items that may or may not have been purchased (e.g., construction items such as wood poles and thatching grass). Each household with data for these construction items over the past 12 months has multiple records (for the two construction items in sub-Module E5). (3,662 records divided by 2 construction items = 1,831 Module E households with sub-Module E5 construction data.)
Results of Kenya's 6th National Census i.e The 2019 Kenya Population and Housing Census Volume I, II, III, and IV reports.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Comprehensive dataset containing 28 verified Housing authority businesses in Kenya with complete contact information, ratings, reviews, and location data.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
IPUMS-International is an effort to inventory, preserve, harmonize, and disseminate census microdata from around the world. The project has collected the world's largest archive of publicly available census samples. The data are coded and documented consistently across countries and over time to facillitate comparative research. IPUMS-International makes these data available to qualified researchers free of charge through a web dissemination system. The IPUMS project is a collaboration of the Minnesota Population Center, National Statistical Offices, and international data archives. Major funding is provided by the U.S. National Science Foundation and the Demographic and Behavioral Sciences Branch of the National Institute of Child Health and Human Development. Additional support is provided by the University of Minnesota Office of the Vice President for Research, the Minnesota Population Center, and Sun Microsystems.
This dataset provides information about the number of properties, residents, and average property values for Kenya Street cross streets in The Villages, FL.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Comprehensive dataset containing 62 verified Student housing center businesses in Kenya with complete contact information, ratings, reviews, and location data.
This dataset provides information about the number of properties, residents, and average property values for Kenya Street cross streets in Porter Ranch, CA.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The information in this repository pertains to the Kenya case study for EDeMOS. EDeMOS is an innovative, open-source methodology designed for analyzing electricity consumption at a spatially detailed level in any geography.
References.
Falchetta, G., Pachauri, S., Parkinson, S. et al. A high-resolution gridded dataset to assess electrification in sub-Saharan Africa. Sci Data 6, 110 (2019). https://doi.org/10.1038/s41597-019-0122-6.
Kummu, M., Taka, M. & Guillaume, J. Gridded global datasets for Gross Domestic Product and Human Development Index over 1990–2015. Sci Data 5, 180004 (2018). https://doi.org/10.1038/sdata.2018.4
Brian Min, Zachary P. O'Keeffe, Babatunde Abidoye, Kwawu Mensan Gaba, Trevor Monroe, Benjamin P. Stewart, Kim Baugh, Bruno Sánchez-Andrade Nuño, “Lost in the Dark: A Survey of Energy Poverty from Space,” Joule (2024), https://doi.org/10.1016/j.joule.2024.05.001.
Samapriya Roy, Swetnam, T., & Saah, A. (2025). samapriya/awesome-gee-community-datasets: Community Catalog (3.2.0). Zenodo. https://doi.org/10.5281/zenodo.14757583.
ICF. Kenya: Standard DHS, 2022 Dataset. The DHS Program website. Funded by USAID. http://www.dhsprogram.com. [Accessed 01, 31, 2025].
other
This dataset shows the Poverty rate, poverty gap, poverty density and the percentage of poor housing at Location level in Kenya in 1999. This dataset was originally collected by Kenya National Bureau of Statistics
This dataset provides information about the number of properties, residents, and average property values for Kenya Lane cross streets in Pasadena, TX.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
A geospatial layer of urban centres in Kenya based on a list available from the most recent 2019 Kenya population and housing census.
This dataset provides information about the number of properties, residents, and average property values for Kenya Court cross streets in Winston, OR.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Comprehensive dataset containing 22 verified Real estate attorney businesses in Kenya with complete contact information, ratings, reviews, and location data.
Poverty rate, poverty gap, poverty density and amount of Kenyan Shillings (per month per square kilometer) to close the poverty gap for Constituencies in eastern Kenya in 1999.
Abstract copyright UK Data Service and data collection copyright owner. The main aims of this study were to assess the structure of rural household income in Kenya in 1982; to discover changes since 1975 in agriculture and assets with special attention to the impact of the coffee boom; to assess access to government services and health, education, water, wood and sewage. Main Topics: Household composition; migration; employment and other work; asset changes since 1975; health status and treatment; education; farm production. Multi-stage stratified random sample This survey followed up all respondents in an earlier survey in two provinces who could be located. The earlier survey, IRS3 carried out by the Central Bureau of Statistics, Kenya, in 1977/8 is not held at the Data Archive. Face-to-face interview 1982 ACCESS TO EDUCATION ACCESS TO FACILITIES ADVICE AGE AGRICULTURAL BUILDINGS AGRICULTURAL COOPER... AGRICULTURAL ECONOMICS AGRICULTURAL ENTERP... AGRICULTURAL EQUIPMENT AGRICULTURAL LAND AGRICULTURAL MARKETING AGRICULTURAL PRODUCTS AGRICULTURAL TRAINING AGRICULTURAL WORKERS AGRICULTURE ANIMAL PRODUCTS ANTENATAL CARE AREA MEASUREMENT ASSETS ATTITUDES BANK ACCOUNTS BANKS BEREAVEMENT BICYCLES BOARDING SCHOOLS BUILDING OPERATIONS BUSINESS ECONOMICS BUSINESSES CAPITAL RAISING CATTLE CENTRAL GOVERNMENT CHILD CARE CHILDBIRTH CHILDREN COFFEE CROP COFFEE INDUSTRY COMMUTING CONDITIONS OF EMPLO... COOPERATION COOPERATIVES COSTS CROPPING SYSTEMS CROPS Community DAIRY PRODUCTS DECISION MAKING DELIVERY PREGNANCY DISABLED PERSONS DISEASES DISTANCE MEASUREMENT ECONOMIC ACTIVITY ECONOMIC AND SOCIAL... ECONOMIC CONDITIONS EDUCATIONAL ADMISSION EDUCATIONAL BACKGROUND EDUCATIONAL FEES EDUCATIONAL GRANTS EMPLOYEES EMPLOYMENT EMPLOYMENT HISTORY ENERGY SUPPLY EQUIPMENT EXPENDITURE Economic systems an... FACILITIES FAMILIES FAMILY MEMBERS FARM VEHICLES FARMERS FARMING SYSTEMS FARMS FERTILIZERS FINANCIAL RESOURCES FINANCIAL SUPPORT FINANCING FOLK MEDICINE FOOD PRODUCTION FREIGHT TRANSPORT FRINGE BENEFITS GENDER GIFTS GRAZING LAND HEADS OF HOUSEHOLD HEALTH HEALTH CONSULTATIONS HEALTH PROFESSIONALS HEALTH SERVICES HOME VISITS HOSPITAL OUTPATIENT... HOSPITAL SERVICES HOSPITALIZATION HOURS OF WORK HOUSEHOLD BUDGETS HOUSEHOLD HEAD S OC... HOUSEHOLDS HOUSING IMPROVEMENT HUMAN SETTLEMENT ILLITERACY IMMUNIZATION INCOME INHERITANCE INTEREST FINANCE JOB REQUIREMENTS Kenya LABOUR MIGRATION LABOUR RESOURCE LAND LAND AND PROPERTY F... LAND ECONOMICS LAND MANAGEMENT LAND OWNERSHIP LAND TENURE LAND TRANSFERS LAND USE LITERACY LIVESTOCK LOANS LOCAL COMMUNITY FAC... Labour and employment MEDICAL CARE MEDICAL CENTRES MEDICAL EXAMINATIONS MIGRANTS OCCUPATIONAL QUALIF... OCCUPATIONAL TRAINING OCCUPATIONS OWNERSHIP AND TENURE PLANTATIONS PLANTS POSTNATAL CARE PRICES PRIVATE EDUCATION PRIVATE SCHOOLS PRIVATE SECTOR PROPERTY PUBLIC SECTOR PURCHASING READING ACTIVITY RESIDENTIAL MOBILITY RURAL AREAS SAVINGS SCHOOL HEALTH SERVICES SCHOOLCHILDREN SCHOOLS SECONDARY EDUCATION SECONDARY SCHOOLS SELF EMPLOYED SEWAGE DISPOSAL AND... SHOPPING SICK LEAVE SOCIAL WELFARE STUDENTS SYMPTOMS Specific social ser... TIME TOWNS TRADE TRAINING TRAVEL UNEMPLOYED URBAN AREAS VISITS PERSONAL VOCATIONAL EDUCATION WAGES WATER SUPPLY WEIGHT PHYSIOLOGY WOOD WOODLANDS WORKPLACE WRITING SKILLS urban and rural life
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Comprehensive dataset containing 40 verified Housing cooperative businesses in Kenya with complete contact information, ratings, reviews, and location data.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
A questionnaire guide, questionnaire instructions, a questionnaire in English and a questionnaire in Swahili for inhabitant dwelling capacity evaluation for household survey Mt. Elgon (Kenya). Including a dataset with the answers from 200 households.
This dataset provides information about the number of properties, residents, and average property values for Kenya Court cross streets in Billings, MT.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Comprehensive dataset containing 7,353 verified Housing society businesses in Kenya with complete contact information, ratings, reviews, and location data.
Comprehensive dataset of 2 State Department Housing and Urban Developments in Kenya as of August, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.