"An interactive data-story narrative and infographic on progress on the targets for SDG #6 Clean Water and Sanitation, focusing on water, sanitation, and hygiene: essential for well-being. One chapter in a larger collection of data stories in the Atlas of Sustainable Development Goals 2020. The Atlas of Sustainable Development Goals 2020 presents interactive storytelling and data visualizations about the 17 Sustainable Development Goals. It highlights trends for selected targets within each goal and introduces concepts about how some SDGs are measured. Where data is available, it also highlights the emerging impact of the COVID-19 pandemic on the SDGs. The Atlas draws from the World Bank’s World Development Indicators database, as well as from a wide variety of relevant data sources from scientists and other researchers worldwide."

**Objective** Standardized face-to-face interviews are widely used to collect data in low and middle-income countries for social science and health research. Such interviews can be long and tedious. In an attempt to improve the respondents’ experience during interviews, we developed a concept of gamified interview by including a game element. Gamification is reported to increase engagement in tasks, but results from rigorously developed research are equivocal, and a theory of gamification is still needed. **Materials & methods** We conducted a randomized controlled trial to rigorously evaluate the proposed gamification based on the self-determination theory, specifically on the basic psychological needs theory. In total, 1266 respondents were interviewed. Single and multiple mediation analyses were used to understand how gamification works. **Results** Our evaluation showed that the gamification we had developed did not improve the outcome, i.e. the reported experience of the interview. The effect of gamification depended on the ability of respondents: gamification can be counterproductive if it overburdens the respondents. Finally, the basic psychological needs theory explained the mechanisms of action of gamification well: feeling competent and related to others improved the reported experience of the interview. **Conclusion** We emphasize the need to develop context-specific gamification and invite researchers to follow equivalently rigorous evaluation of gamification in future studies.

The characteristics of fecal sludge delivered to treatment plants are highly variable. Adapting treatment process operations accordingly is challenging due to a lack of analytical capacity for characterization and monitoring at many treatment plants. Cost-efficient and simple field measurements such as photographs and probe readings could be proxies for process control parameters that normally require laboratory analysis. To investigate this, we evaluated questionnaire data, expert assessments, and simple analytical measurements for fecal sludge collected from 421 onsite containments. This data served as inputs to models of varying complexity. Random forest and linear regression models were able to predict physical-chemical characteristics including total solids (TS) and ammonium (NH4+-N) concentrations, and solid-liquid separation performance including settling efficiency and filtration time (R2 from 0.51-0.66) based on image analysis of photographs (sludge color, supernatant color, and texture) and probe readings (conductivity (EC) and pH). Supernatant color was the best predictor of settling efficiency and filtration time, EC was the best predictor of NH4+-N, and texture was the best predictor of TS. Predictive models have the potential to be applied for real-time monitoring and process control if a database of measurements is developed and models are validated in other cities. Simple decision tree models based on the single classifier of containment type can also be used to make predictions about citywide planning, where a lower degree of accuracy is required.

Established in 1990, the WHO/UNICEF JMP global database includes estimates of progress in household, school and healthcare facility drinking water, sanitation and hygiene since 2000. Explore the data.JMP estimates are calculated from data produced by national authorities. The JMP database includes over 5,000 national data sources with information on WASH in households including nationally representative household surveys, censuses and administrative reports.

Annual estimates were produced for access to drinking water and sanitation Facilities at the 5x5 km-level for 90 low- and middle-income countries (LMICs) for 2000-2017. These estimates were produced using a geo-positioned dataset created from 634 household surveys. Survey sources used include the Demographic and Health Survey (DHS) and UNICEF Multiple Indicator Cluster Survey (MICS) series, and other country‐specific surveys. This dataset includes the following: GeoTIFF raster files for pixel-level estimates of drinking water and sanitation facility coverage percent (percent of people with the given type of access) and number (number of people with the given type of access) ; CSV files of aggregated estimates for each country at zero, first and second administrative divisions; Code files used to generate the estimates.

This database collates 3552 development indicators from different studies with data by country and year, including single year and multiple year time series. The data is presented as charts, the data can be downloaded from linked project pages/references for each set, and the data for each presented graph is available as a CSV file as well as a visual download of the graph (both available via the download link under each chart).

Through the API, you can export data on all indicators contained within the SDG 6 Data Portal.

Rural safe water coverage as defined by the Directorate of Water Development, Ministry of Water and Environment, Uganda.

Selection of 104 water security related indicators, with visualisation tools to plot up to 4 variables simultaneously. Graphs can be direct linked, and data sets can be downloaded as CSV files

A quantitative basis for comparing, analyzing, and understanding environmental performance for 180 countries. We score and rank these countries on their environmental performance using the most recent year of data available and calculate how these scores have changed over the previous decade. Data provided by country, and can be filtered by regions. Relavent metrics scored on the EPI include: Access to sanitation and drinking water, Unsafe sanitation, unsafe drinking water, water resources impact (based on wastewater discharge), Wastewater Treatment

The mWater Data Portal is where users can visualize the mWater open access global database of water and sanitation data. Over 4,000,000 sites have been shared to the mWater database from the Water Point Data Exchange and mWater users who choose to make their data public. An interactive map allows users to make custom, exportable maps of their private data as well as global, public data. Users data can be exported through the Sites Page in the Data Portal. Export data for free as often as you need in CSV or Microsoft Excel formats.