The five-year $35.5 million public private partnership/Global Development Alliance (GDA) program, Kenya Resilient Arid Lands Partnership for Integrated Development (RAPID) was funded jointly by USAID, Swiss Agency for Development and Cooperation (SDC), private sector partners, and Millennium Water Alliance (MWA) international Non-Government Organization (INGO) members. Coordinated by the MWA, Kenya RAPID brings together public, private and civil society institutions and communities to increase access to water and sanitation for people and water for livestock and to rebuild a healthy rangeland-management ecosystem in five ASAL counties (Turkana, Isiolo, Marsabit, Wajir, and Garissa). This performance evaluation was commissioned by the USAID/Kenya and East Africa (USAID/KEA) mission in conjunction with SDC at the end of RAPID’s fifth year. By phone or other remote media, the Evaluation Team conducted interviews with approximately 70 key informants from USAID/KEA, SDC, Government of Kenya (national level), Kenya RAPID staff, Kenya RAPID implementing partner staff, county government officials (for WASH, pastoralist support, rangeland management, health, livestock, and nutrition, among other areas), private sector partners, and utility staff. The dataset consists of the results from coding the interviews.

Kenya Integrated WASH (KIWASH) KIWASH is a 5-year activity (October 2015 to September 2020) funded by USAID/KEA and implemented by a consortium led by Development Alternatives Incorporated (DAI). The goal of KIWASH is to improve lives and health through development and management of sustainable water, sanitation and hygiene (WASH) services in Kenya. USAID/KEA commissioned the USAID Water, Sanitation and Hygiene Partnerships and Learning for Sustainability (WASHPaLS) to undertake this performance evaluation at the start of the activity’s fourth year to assess the appropriateness of the KIWASH design, assess progress of implementation to-date, and inform future USAID/KEA WASH and nutrition programming.

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 is an individual -dataset with all women age 15-49 with a completed interview in Module H of the questionnaire (n=1,382, vars=41).

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=1,573, vars=169) contains the analytical variables derived in the WEAI analysis.

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=14,055, var=11) is the first of two datasets needed to calculate the WEAI-related measures. It contains Module G data from the primary adult (18+) female decisionmaker within each household (for the sub-sample of households with a primary adult female decisionmaker).

The Kenya Agricultural Value Chain Enterprises (KAVES) activity works with smallholder farmers, businesses, and national and county government partners to address constraints up and down the value chain (such as agro-processors, input suppliers, transporters, exporters, retailers, financiers) and develop fully-functioning, competitive value chains. KAVES aims to increase the productivity and incomes of smallholder farmers, and other actors along the value chain, who are working in the dairy, maize (and other staples), and horticulture sectors. This data is derived from a 2015 survey collecting year-end results on activities related to crop production and sales, livestock production and sales, nutrition, water and sanitation, and access to financial services. Respondents are beneficiaries of the Kenya-KAVES project.

The Uganda Population-Based Survey (PBS) provides a comprehensive assessment of the current status of agriculture and food security in 38 districts across eight regions of the country. The PBS was conducted from October 25 to December 30, 2012. The overall objective of the survey is to provide baseline data on living standards, nutritional status, and women's empowerment in agriculture in the Zone Of Influence. This dataset is the second of two datasets needed to calculate the Women's Empowerment in Agriculture Index-related measures.

The Kenya Agricultural Value Chain Enterprises (KAVES) activity works with smallholder farmers, businesses, and national and county government partners to address constraints up and down the value chain (such as agro-processors, input suppliers, transporters, exporters, retailers, financiers) and develop fully-functioning, competitive value chains. KAVES aims to increase the productivity and incomes of smallholder farmers, and other actors along the value chain, who are working in the dairy, maize (and other staples), and horticulture sectors. This data is derived from a 2015 survey collecting year-end results on activities related to crop production and sales, livestock production and sales, nutrition, water and sanitation, and access to financial services. Respondents are beneficiaries of the Kenya-KAVES project.

The Uganda Population-Based Survey (PBS) provides a comprehensive assessment of the current status of agriculture and food security in 38 districts across eight regions of the country. The PBS was conducted from October 25 to December 30, 2012. The overall objective of the survey is to provide baseline data on living standards, nutritional status, and women's empowerment in agriculture in the Zone Of Influence. This dataset is the first of two datasets needed to calculate the Women's Empowerment in Agriculture Index-related measures.

The Envisioning Resilience initiative has amplified the voices of underrepresented women in adaptation-planning processes in Ghana and Kenya.