Abstract
This dataset provides socioeconomic and value perception interview data collected from 1,021 individuals living across three counties in Kenya: Turkana, Machakos and Narok. The data are made available with sub-county level geospatial attribution. Socioeconomic data were collected on housing, healthcare, water sources, electricity access, experience of extreme weather events, community services, and access to information. Value perception data were collected using the user-perceived value (UPV) method - a perception-based surveying approach which requires interviewees to select their most valued household items in different circumstances, and explain their choice through 'why'-probing. For this dataset, the UPV method was used to identify the most valued household items in daily life and in the event of an extreme weather event, e.g. a drought, floor or heatwave. Together, the socioeconomic and interview data can be used to better understand the views of different communities and demographic groups across Kenya concerning climate change and extreme weather events. They also provide insight about the intrinsic, social, emotional, epistemic, functional, and indigenous value associated with everyday household items. The data can be used by policymakers to inform development planning and to identify gaps in the available infrastructure. Additionally, researchers and development practitioners can use these data to design interventions which reflect the needs and values of communities in Kenya.