openwashdata/waterconsumersurvey

This dataset captures household-level information on water access, reliability, and user satisfaction across selected communities in Zomba and Mangochi Districts in Malawi. The data was collected on September 20, 2021, using mWater # Household Water Point Satisfaction Survey – Zomba & Mangochi District This dataset captures household-level information on water access, reliability, and user satisfaction across selected communities in Zomba and Mangochi Districts in Malawi. The data was collected on September 20, 2021, using mWater, a mobile-based data collection platform. Enumerators visited households to gather geo-referenced responses through structured digital surveys, ensuring high-quality and spatially traceable data. The survey focused on understanding the condition and accessibility of household water sources, user satisfaction with water services, seasonal availability, and the economic aspects of water usage. It also gathered insights into household well-being and demographics relevant to water access and decision-making. **Potential Use Cases** This dataset is valuable to a wide range of stakeholders, including: 1. Local Government and District Water Offices – for planning water infrastructure repairs, expansions, and equitable service delivery. 2. NGOs and Development Partners (e.g., WaterAid, UNICEF, WASH-focused NGOs) – for identifying priority areas, targeting interventions, and measuring impact. 3. Policy Makers and Researchers – for analyzing rural water access trends, community resilience, and household-level satisfaction indicators. 4. WASH Engineers and Planners – for designing technically informed and community-responsive water systems. 5. Academic Institutions – for research and student projects focusing on water governance, rural development, and environmental health. ## Installation You can install the development version of waterconsumersurvey from GitHub with: ``` r # install.packages("devtools") devtools::install_github("openwashdata/waterconsumersurvey") ``` ``` r ## Run the following code in console if you don't have the packages ## install.packages(c("dplyr", "knitr", "readr", "stringr", "gt", "kableExtra")) library(dplyr) library(knitr) lib …