The REACH Turkana WASH Household Survey was conducted in October 2017 to collect quantitative data on various indicators of multidimensional poverty, the state of drinking water services and sanitation facilities, and priority concerns for development. The survey was carried out in Lodwar town and its peripheral areas in Turkana Central subcounty of Turkana county in northwest Kenya. The survey was administered to 909 randomly selected households in KiSwahili through an electronic form developed in ONA (https://ona.io/), and was conducted by 10 trained local enumerators.REACH is a global research programme to improve water security for the poor by delivering world-class science that transforms policy and practice. Living in poverty often means a struggle for water security. Rapid urban growth, unregulated pollution from industry, extreme floods and droughts, lack of reliable and safe drinking water, and increasing damage to water ecosystems threaten economies and undermine the lives of the poor. Improving water security is an important pathway to sustainable growth and poverty reduction. However, better evidence is needed to guide institutional and infrastructure investments which unlock growth opportunities and help people move out of poverty. The REACH programme will improve water security for over ten million poor people by: -generating new evidence on water security through an innovative, interdisciplinary, risk-based approach -establishing science, practitioner and enterprise partnerships to ground research in approaches that will benefit the poor building capacity and networks for the next generation of water managers and scientists in Africa and South Asia. REACH is a nine-year programme (2015-2024) led by Oxford University with international consortium of partners and funded with UK Aid Direct from the UK Government’s Foreign, Commonwealth & Development Office.
The survey was administered to 909 households randomly selected from 2 wards in Turkana central sub-county. The survey was administered in KiSwahili through an electronic form developed in ONA (https://ona.io/), and was conducted by 10 trained local enumerators.
