If someone wants to use the dataset, he/she can contact the corresponding author.

This data provides information on the farmers’ demographics and perception of the biophysical features in Polder 30, Khulna, Bangladesh. It also includes data related to gender dynamics.

Safe water practice by older persons’ socio-demographic characteristics.

Researchers at Utah State University created a short survey instrument to gather information about the views and concerns of Utah residents related to water issues. This survey was designed to give the public a chance to share their perceptions and concerns about water supply, water quality, and other related issues. While finding out what the ‘average citizen’ feels about key water issues was one goal of the project, the most interesting and important results are found in exploring ways in which perspectives about water vary across the population based on where people live and their demographic background (gender, age, education, etc.). This survey helps bring a voice to groups of citizens typically not represented in water policy debates. The findings have been and continue to be shared with water managers and decision makers who are planning for local and state water system sustainability.

This survey effort is also a key outreach and education component of the iUTAH project. High school groups, college and university classes, and others are invited to collaborate with iUTAH faculty to conduct public intercept surveys. Co-collection and analysis of survey data provides a hands-on learning opportunity about the principles of social science research. This effort helps increase awareness about the complexity of water issues in Utah, and the methods through which scientists learn about the public’s thoughts and concerns. Between July 2014 and April 2016, the survey has been implemented with collaborating students and faculty from the University of Utah, Utah Valley University, Weber State University, Salt Lake Community College, Southern Utah University, Dixie State University, and Snow College.

The survey involved using a structured protocol to randomly approach adults entering grocery stores in communities across the state, and inviting them to complete a 3-minute questionnaire about thier perceptions and concerns about water issues in Utah. The survey was self-administered on an iPad tablet and uploaded to a web server using the Qualtrics Offline App.

The project generated responses from over 7,000 adults, with a response rate of just over 42% . Comparisons of the respondents with census data suggest that they are largely representative of the communities where data were collected and of the state's adult population.

The data are anonymous and are available as a public dataset here. The data also served as the basis for the development of an open-source web-based survey data viewer that can be found at: http://data.iutahepscor.org/surveys/ and were also reported in Jones et al. (2016). We encourage users to use the viewer to explore the survey results.

The files below include a document describing in detail the method/protocol used in the study, and copies of field materials we used to implement the project. We also include copies of the full dataset and a codebook in various formats.

Chad TD: Improved Water Source: % of Population with Access data was reported at 50.800 % in 2015. This stayed constant from the previous number of 50.800 % for 2014. Chad TD: Improved Water Source: % of Population with Access data is updated yearly, averaging 45.950 % from Dec 1990 (Median) to 2015, with 26 observations. The data reached an all-time high of 50.800 % in 2015 and a record low of 39.800 % in 1990. Chad TD: Improved Water Source: % of Population with Access data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chad – Table TD.World Bank.WDI: Social: Health Statistics. Access to an improved water source refers to the percentage of the population using an improved drinking water source. The improved drinking water source includes piped water on premises (piped household water connection located inside the user’s dwelling, plot or yard), and other improved drinking water sources (public taps or standpipes, tube wells or boreholes, protected dug wells, protected springs, and rainwater collection).; ; WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply and Sanitation (http://www.wssinfo.org/).; Weighted average;

Tanzania Population with Access to Improved Drinking Water Sources: % of Total Population data was reported at 11.340 % in 2022. This records an increase from the previous number of 11.020 % for 2021. Tanzania Population with Access to Improved Drinking Water Sources: % of Total Population data is updated yearly, averaging 8.040 % from Dec 2000 (Median) to 2022, with 23 observations. The data reached an all-time high of 11.340 % in 2022 and a record low of 1.430 % in 2000. Tanzania Population with Access to Improved Drinking Water Sources: % of Total Population data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Tanzania – Table TZ.OECD.GGI: Social: Access to Services: Non OECD Member: Annual.

This project presents a dataset that is assembled from multiple sources between 2013 and 2017, including contaminants in drinking water, cancer incidence rates, public perception of the relationship between water contaminants and cancer on Twitter, and census data covering the population living in the United States. The units of analysis are 3,219 counties and 33,144 zip codes. The users of this dataset can address model-driven questions regarding water contaminants and cancer incidence rates in a geographic area, as well as how water contaminant levels and cancer incidence rates are directly and indirectly influenced by local population, economic, and social characteristics.

Population database compiled on a 30x30†lat/long grid, for the years: 1998, 2000 and 2007. within the Okavango Basin. Census counts (at sub-national level) were apportioned to each grid cell based on likelihood coefficients, which are based on proximity to roads, slope, land cover, nighttime lights, and other information.Source: Oak Ridge National Laboratory (ORNL). This dataset is part of the GIS Database for the Environment Protection and Sustainable Management of the Okavango River Basin project (EPSMO). Detailed information on the database can be found in the “GIS Database for the EPSMO Project†document produced by Luis Veríssimo (FAO consultant) in July 2009, and here available for download.

Nigeria NG: Population with Access to Improved Drinking Water Sources: % of Total Population data was reported at 22.000 % in 2020. This records an increase from the previous number of 21.000 % for 2019. Nigeria NG: Population with Access to Improved Drinking Water Sources: % of Total Population data is updated yearly, averaging 18.000 % from Dec 2000 (Median) to 2020, with 21 observations. The data reached an all-time high of 22.000 % in 2020 and a record low of 14.000 % in 2001. Nigeria NG: Population with Access to Improved Drinking Water Sources: % of Total Population data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Nigeria – Table NG.OECD.GGI: Social: Access to Services: Non OECD Member: Annual.

This dataset represents a water shortage social vulnerability analysis performed by DWR using Census 2021 block groups as the unit of analysis. This feature class includes water shortage social vulnerability indicators and scores from an analysis done by CA Department of Water Resources, joined to the 2021 Census Block Groups. Most of the indicators were pulled from the ACS (American Communities Survey). These indicators were joined to the block groups to represent a spatial analysis of the social vulnerability of communities to water shortages. The goal of this data is to provide a spatial representation of social and economic factors that can affect water shortage vulnerability in the state of California. Model indicators included in the attribute table are percent of the population 65 and older, percent of households with no vehicles, percent of population 25 and older without a high school diploma. Please note that all of these model indicators are estimated values pulled from the ACS (American Communities Survey). All model indicators are added together using sum-rank methods outlined in the Drought and Water Shortage Risk Scoring: California's Domestic Wells and State Smalls Systems document and CDC standards for sum-rank methods. This data is for the 2022 analysis using 2017-2021 ACS estimates and 2021 Census block groups. From the draft Drought and Water Shortage Vulnerability Scoring document: “Water Code Division 6 Part 2.55 Section 8 Chapter 10 (Assembly Bill 1668) effectively requires California Department of Water Resources (DWR), in consultation with other agencies and an advisory group, to identify small water suppliers and “rural communities” that are at risk of drought and water shortage. Following legislation passed in 2021 and signed by Governor Gavin Newsom, the Water Code Division 6, Section 10609.50 through 10609.80 (Senate Bill 552 of 2021) effectively requires the California Department of Water Resources to update the scoring and tool periodically in partnership with the State Water Board and other state agencies. This document describes the indicators, datasets, and methods used to construct this deliverable. " A spatial analysis was performed on the 2021 Census Block Groups, modified PLSS sections, and small water system service areas using a variety of input datasets related to drought vulnerability and water shortage risk. These indicator values were subsequently rescaled and summed for a final physical vulnerability score for the sections and small water system service areas. The 2021 Census Block Groups were joined with ACS data to represent the social vulnerability of communities, which is relevant to drought risk tolerance and resources. These three feature datasets contain the units of analysis (modified PLSS sections, block groups, small water systems service areas) with the model indicators for vulnerability in the attribute table. Model indicators are calculated for each unit of analysis according to the Vulnerability Scoring documents provided by Julia Ekstrom (Division of Regional Assistance). All three feature classes are DWR analysis zones that are based off existing GIS datasets. The spatial data for the sections feature class is extracted from the Well Completion Reports PLSS sections to be aligned with the work and analysis that SGMA is doing. These are not true PLSS sections, but a version of the projected section lines in areas where there are gaps in PLSS. The spatial data for the Census block group feature class is downloaded from the Census. ACS (American Communities Survey) data is joined by block group, and statistics calculated by DWR have been added to the attribute table. The spatial data for the small water systems feature class was extracted from the State Water Resources Control Board (SWRCB) SABL dataset, using a definition query to filter for active water systems with 3000 connections or less. None of these datasets are intended to be the authoritative datasets for representing PLSS sections, Census block groups, or water service areas. The spatial data of these feature classes is used as units of analysis for the spatial analysis performed by DWR. These datasets are intended to be authoritative datasets of the scoring tools required from DWR according to Senate Bill 552. Please refer to the Drought and Water Shortage Vulnerability Scoring: California's Domestic Wells and State Smalls Systems documentation for more information on indicators and scoring. These estimated indicator scores may sometimes be calculated in several different ways, or may have been calculated from data that has since be updated. The associated data are considered DWR enterprise GIS data, which meet all appropriate requirements of the DWR Spatial Data Standards, specifically the DWR Spatial Data Standard version 3.4, dated September 14, 2022. DWR makes no warranties or guarantees — either expressed or implied— as to the completeness, accuracy, or correctness of the data. DWR neither accepts nor assumes liability arising from or for any incorrect, incomplete, or misleading subject data. Comments, problems, improvements, updates, or suggestions should be forwarded to gis@water.ca.gov.

Series Name: Proportion of population using basic drinking water services by location (percent)Series Code: SP_ACS_BSRVH2ORelease Version: 2020.Q2.G.03 This dataset is the part of the Global SDG Indicator Database compiled through the UN System in preparation for the Secretary-General's annual report on Progress towards the Sustainable Development Goals.Indicator 1.4.1: Proportion of population living in households with access to basic servicesTarget 1.4: By 2030, ensure that all men and women, in particular the poor and the vulnerable, have equal rights to economic resources, as well as access to basic services, ownership and control over land and other forms of property, inheritance, natural resources, appropriate new technology and financial services, including microfinanceGoal 1: End poverty in all its forms everywhereFor more information on the compilation methodology of this dataset, see https://unstats.un.org/sdgs/metadata/

Dataset quality **: Medium/high quality dataset, not quality checked or modified by the EIDC team

Census data plays a pivotal role in academic data research, particularly when exploring relationships between different demographic characteristics. The significance of this particular dataset lies in its ability to facilitate the merging of various datasets with basic census information, thereby streamlining the research process and eliminating the need for separate API calls.

The American Community Survey is an ongoing survey conducted by the U.S. Census Bureau, which provides detailed social, economic, and demographic data about the United States population. The ACS collects data continuously throughout the decade, gathering information from a sample of households across the country, covering a wide range of topics

Series Name: Proportion of population using safely managed drinking water services by urban rural (percent)Series Code: SH_H2O_SAFERelease Version: 2020.Q2.G.03 This dataset is the part of the Global SDG Indicator Database compiled through the UN System in preparation for the Secretary-General's annual report on Progress towards the Sustainable Development Goals.Indicator 6.1.1: Proportion of population using safely managed drinking water servicesTarget 6.1: By 2030, achieve universal and equitable access to safe and affordable drinking water for allGoal 6: Ensure availability and sustainable management of water and sanitation for allFor more information on the compilation methodology of this dataset, see https://unstats.un.org/sdgs/metadata/

Note: For information on data collection, confidentiality protection, nonsampling error, and definitions, see the 2020 Island Areas Censuses Technical Documentation..Due to COVID-19 restrictions impacting data collection for the 2020 Census of American Samoa, data tables reporting social and economic characteristics do not include the group quarters population in the table universe. As a result, impacted 2020 data tables should not be compared to 2010 and other past census data tables reporting the same characteristics. The Census Bureau advises data users to verify table universes are the same before comparing data across census years. For more information about data collection limitations and the impacts on American Samoa's data products, see the 2020 Island Areas Censuses Technical Documentation..Explanation of Symbols: 1.An "-" means the statistic could not be computed because there were an insufficient number of observations. 2. An "-" following a median estimate means the median falls in the lowest interval of an open-ended distribution.3. An "+" following a median estimate means the median falls in the upper interval of an open-ended distribution.4. An "N" means data are not displayed for the selected geographic area due to concerns with statistical reliability or an insufficient number of cases.5. An "(X)" means not applicable..Source: U.S. Census Bureau, 2020 Census, American Samoa.

This dataset was derived from federal data collected by the Census Bureau and Environmental Protection Agency and originally made available to the public on July 31, 2024. These data provide both summary and detailed information at the Census block group level for both demographic and environmental indicators.These data were selected from the Harvard Environment and Law Data (HELD) Collection to inform environmental justice in New York State. The data was uploaded to the HELD Collection on December 3rd, 2024 and downloaded by NYSDOS-OPDCI for service to the Geographic Information Gateway via this item on March 18th, 2025. View Dataset on the Gateway

Uganda UG: Population with Access to Improved Drinking Water Sources: % of Total Population data was reported at 18.680 % in 2022. This records an increase from the previous number of 17.700 % for 2021. Uganda UG: Population with Access to Improved Drinking Water Sources: % of Total Population data is updated yearly, averaging 9.120 % from Dec 2000 (Median) to 2022, with 23 observations. The data reached an all-time high of 18.680 % in 2022 and a record low of 2.300 % in 2000. Uganda UG: Population with Access to Improved Drinking Water Sources: % of Total Population data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Uganda – Table UG.OECD.GGI: Social: Access to Services: Non OECD Member: Annual.

Socio-demographic characteristics, water access and use among Kenyan women of mixed HIV status at 15 months postpartum (N = 241).

Definition of Demographic and Socio-Economic Variables.

Access to water and sanitation services by the population of the Belo Horizonte Metropolitan Region, Minas Gerais State, Brazil, has been marked by processes of socio-spatial segregation and social exclusion. Considering the recognition, in 2010, of the human rights to water and sanitation by the United Nations, we seek to assess the adequate access to these services in the Belo Horizonte Metropolitan Region through the principle of equality and non-discrimination. We used microdata from the demographic censuses, years 2000 and 2010, from the Brazilian Institute of Geography and Statistics. We analyzed these data through descriptive and comparative statistical analysis, spatial analysis and multivariate analysis, so as to: determine the extent of the universalization of the adequate access to those services; assess the spatial dependence between municipalities regarding this access; identify and characterize possible access discrimination, by specific population groups. Results show an increase in the proportion of households with adequate access to water and sanitation services in the intercensus period; near lack spatial association, showing inequalities among the 34 municipalities of the Belo Horizonte Metropolitan Region; access inequalities among different population groups - according to household situation, income, race or color, sex and educational level - in a possible non compliance with the principle of non-discrimination.

Bahamas BS: Improved Water Source: % of Population with Access data was reported at 98.400 % in 2015. This stayed constant from the previous number of 98.400 % for 2014. Bahamas BS: Improved Water Source: % of Population with Access data is updated yearly, averaging 97.200 % from Dec 1993 (Median) to 2015, with 23 observations. The data reached an all-time high of 98.400 % in 2015 and a record low of 96.300 % in 1998. Bahamas BS: Improved Water Source: % of Population with Access data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Bahamas – Table BS.World Bank.WDI: Social: Health Statistics. Access to an improved water source refers to the percentage of the population using an improved drinking water source. The improved drinking water source includes piped water on premises (piped household water connection located inside the user’s dwelling, plot or yard), and other improved drinking water sources (public taps or standpipes, tube wells or boreholes, protected dug wells, protected springs, and rainwater collection).; ; WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply and Sanitation (http://www.wssinfo.org/).; Weighted average;