100+ datasets found
  1. d

    Utah's Water Future - 2014 Household Survey

    • search.dataone.org
    • hydroshare.org
    Updated Dec 5, 2021
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    Douglas Jackson-Smith; Courtney Flint (2021). Utah's Water Future - 2014 Household Survey [Dataset]. https://search.dataone.org/view/sha256%3A38db8d8e0120b5d3061bedcaeb98600c8ce64dc549fa338ed7a8c8843662b2e7
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    Dataset updated
    Dec 5, 2021
    Dataset provided by
    Hydroshare
    Authors
    Douglas Jackson-Smith; Courtney Flint
    Time period covered
    Jan 1, 2014 - Dec 31, 2014
    Area covered
    Description

    These data reflect results of a household survey implemented in the summer of 2014. The survey randomly sampled households from 23 neighborhoods (census block groups) across 12 cities and 3 counties. Neighborhoods were purposively selected to represent different configurations of social, built, and natural environmental characteristics using the "iUTAH Urban Typology" (https://www.hydroshare.org/resource/84f00a1d8ae641a8af2d994a74f4ccfb/). Data were collected using a drop-off/pick-up methodology, and produced an overall response rate of over 62% (~2,400 respondents). The questionnaire included detailed questions related to household water use and landscaping behaviors, perceptions of water supply and quality, participation in water based recreation, concerns about water issues, and preferences for a range of local and state water policies.

    Here we are making public an anonymized version of the large household survey dataset. To protect the identity of respondents, we have removed a few variables and truncated other variables.

    Files included here: englishsurveys and spanishsurveys: These folders contain the survey questionnaires used specific to each neighborhood. Codebook in various formats: Tables (xls and csv files) with a list and definition of questions/variables, which correspond to the columns in the data files, and the encoding of the responses. Dataset in various formats: Tables (csv, xls, sas, sav, dta files) containing numeric responses to each question. Each participant's responses correspond to a row of data. Each question corresponds to a column of data. Interpretation of the coded responses is found in the data codebook. Maps: maps of the neighborhoods surveyed. SummaryReports: Summaries of the results that compare across three counties, summary reports for each county, highlight reports for each city.

    Summary reports are also available at http://data.iutahepscor.org/mdf/Data/household_survey/ including an overall report that provides comparisons of how these vary across the three counties where we collected data (Cache, Salt Lake, and Wasatch) as well as summary reports for each county and highlights reports for each city.

  2. w

    Tajikistan - Survey of Water, Sanitation, and Hygiene for Households and...

    • wbwaterdata.org
    Updated Mar 16, 2020
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    (2020). Tajikistan - Survey of Water, Sanitation, and Hygiene for Households and Schools 2017 - Dataset - waterdata [Dataset]. https://wbwaterdata.org/dataset/tajikistan-survey-water-sanitation-and-hygiene-households-and-schools-2017
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    Dataset updated
    Mar 16, 2020
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Tajikistan
    Description

    This study provides Microdata for household and school surveys collected to support the 2017 Poverty Diagnostic of the Drinking Water, Sanitation and Hygiene (WASH) Sector. The diagnostic aimed to assess and visualize drinking water, sanitation, and hygiene service conditions of communities and households in the bottom 40 percent of the income distribution. The primary survey data comes from two nationally representative surveys that were carried out for this study. The Household WASH Survey and the School WASH Survey covered about 3,000 households and 300 primary/secondary schools, respectively, and were conducted in the same primary sampling units following a household listing exercise. The school survey covers basic WASH conditions in schools, whereas the household survey contains information on the availability and quality of WASH services, costs incurred for meeting WASH needs, the health and other impacts on household wellbeing, and willingness to pay for improved services.

  3. D

    Water and Heat Household Survey in Jakarta

    • researchdata.ntu.edu.sg
    xlsx
    Updated Dec 21, 2022
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    DR-NTU (Data) (2022). Water and Heat Household Survey in Jakarta [Dataset]. http://doi.org/10.21979/N9/GMHIIH
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    xlsx(96021)Available download formats
    Dataset updated
    Dec 21, 2022
    Dataset provided by
    DR-NTU (Data)
    License

    Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
    License information was derived automatically

    Area covered
    Jakarta
    Description

    Survey on the use of water to mitigate heat in households in Jakarta

  4. Households and the environment survey, primary type of drinking water...

    • open.canada.ca
    • www150.statcan.gc.ca
    • +1more
    csv, html, xml
    Updated Dec 8, 2023
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    Statistics Canada (2023). Households and the environment survey, primary type of drinking water consumed [Dataset]. https://open.canada.ca/data/en/dataset/6fc7ac72-30e2-43ef-9e95-0bcbb500425a
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    xml, csv, htmlAvailable download formats
    Dataset updated
    Dec 8, 2023
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Description

    This table shows the primary type of drinking water consumed by Canadian households. The unit of measure is percent. The table is biennial.

  5. Households and the environment survey, dwelling's main source of water

    • open.canada.ca
    • www150.statcan.gc.ca
    • +3more
    csv, html, xml
    Updated Dec 8, 2023
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    Statistics Canada (2023). Households and the environment survey, dwelling's main source of water [Dataset]. https://open.canada.ca/data/en/dataset/711033a6-d562-4a61-98c5-0269b03b9b0b
    Explore at:
    html, csv, xmlAvailable download formats
    Dataset updated
    Dec 8, 2023
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Description

    This table shows the main source of water for Canadian households, whether the household had had their water tested by a laboratory in the twelve months preceding interview and whether a problem had been found. The unit of measure is percent. The table is biennial.

  6. Households and the environment survey, treatment of drinking water

    • open.canada.ca
    • www150.statcan.gc.ca
    • +2more
    csv, html, xml
    Updated Jan 17, 2023
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    Statistics Canada (2023). Households and the environment survey, treatment of drinking water [Dataset]. https://open.canada.ca/data/en/dataset/c39b7c5b-13d0-4ed5-a148-f9425bdc76f7
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    html, xml, csvAvailable download formats
    Dataset updated
    Jan 17, 2023
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Description

    This table shows whether Canadian households treated their water prior to consumption and the method(s) and reason(s) if they did. The unit of measure is percent. The table is biennial.

  7. C

    OLAS/SCL WASH Household Survey Dataset - Regional Estimates

    • data.iadb.org
    csv
    Updated May 8, 2025
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    IDB Datasets (2025). OLAS/SCL WASH Household Survey Dataset - Regional Estimates [Dataset]. http://doi.org/10.60966/dc2pt529
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    csv(7863882)Available download formats
    Dataset updated
    May 8, 2025
    Dataset provided by
    IDB Datasets
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2003 - Jan 1, 2023
    Description

    This dataset provides regional estimates for the indicators in the OLAS/SCL WASH Household Survey Dataset.

  8. Household consumption of water by use UK 2010-2014

    • statista.com
    Updated Mar 16, 2015
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    Statista (2015). Household consumption of water by use UK 2010-2014 [Dataset]. https://www.statista.com/statistics/321368/water-consumption-by-use-in-the-united-kingdom-uk/
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    Dataset updated
    Mar 16, 2015
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jun 2010 - Jul 2014
    Area covered
    United Kingdom
    Description

    This statistic shows the division of water consumption by use in the United Kingdom (UK) from 2010 to 2014. Showers and baths account for the most water consumption in UK households, at ** percent, while ** percent of water consumption is due to toilet use. Dishwashers are account for just *** percent of water use by UK households.

  9. Water, Sanitation and Hygiene KAP Survey 2020 - Chad

    • microdata.worldbank.org
    • datacatalog.ihsn.org
    • +1more
    Updated Jul 17, 2023
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    UN Refugee Agency (UNHCR) (2023). Water, Sanitation and Hygiene KAP Survey 2020 - Chad [Dataset]. https://microdata.worldbank.org/index.php/catalog/5936
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    Dataset updated
    Jul 17, 2023
    Dataset provided by
    United Nations High Commissioner for Refugeeshttp://www.unhcr.org/
    Authors
    UN Refugee Agency (UNHCR)
    Time period covered
    2020
    Area covered
    Chad
    Description

    Abstract

    This dataset contains WASH KAP survey data from interviews conducted on 2015 Households in Jan 2020 in the refugee camps of Ambocko, Doholo, Dosseye, Gondje hosting in the Chad area of Gore. As part of its core protection mission, the UNHCR provides Refugees, Asylum Seekers, and other persons of concerns (PoC) and adequate shelters in humanitarian emergency settings. The UNHCR and the wider humanitarian community are more in favour of settlement solutions that offer a seemingly normal life to forcible displace population, other than camps, sites, or settlements. In a well-designed camp, displaced people do not have to walk too far to get food, water, or medical care. Water points and latrines are well-lit and close to homes so that girls and women, especially, will not be exposed to danger. All these arrangements are as well done to prevent the spread of hygiene and sanitation-related diseases in camps. To monitor this important situation the UNHCR regularly organizes Water, Sanitation and Hygiene (WASH) Knowledge, Aptitude, Practises (KAP) surveys that monitor the WASH indicators.

    Geographic coverage

    Gore/Tchad

    Analysis unit

    Household

    Universe

    Refugees living in Camps and settlements in the area of Gore

    Kind of data

    Sample survey data [ssd]

    Mode of data collection

    Face-to-face [f2f]

  10. s

    Household Survey Data - Lahan, Nepal

    • orda.shef.ac.uk
    docx
    Updated Jul 14, 2025
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    Richard Collins; Vanessa Speight; Matthew MacRorie (2025). Household Survey Data - Lahan, Nepal [Dataset]. http://doi.org/10.15131/shef.data.28785446.v1
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    docxAvailable download formats
    Dataset updated
    Jul 14, 2025
    Dataset provided by
    The University of Sheffield
    Authors
    Richard Collins; Vanessa Speight; Matthew MacRorie
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Lahan, Nepal
    Description

    The data here was collected as part of a PhD studentship conducting research alongside partners the Beacon Project (a collaboration between Anglian Water and WaterAid). The data consists of household survey data collected at 56 locations in Lahan, Nepal from 28-09-2022 to 18-12-2022. The household survey was conducted with the aid of a local translator who spoke both the national language: Nepali, as well as the local dialect: Maithili. The survey questions were asked by the translator and the responses relayed back to the author in English. For simplicity, and to avoid the survey taking up too much of the participant’s time, the translator did not translate responses word-for-word. The responses therefore involved some interpretation and summarising by the translator. The responses were recorded by the author using the mWater app. The survey had several aims, the first of which was to record the number of people using the piped supply so that the water consumption in litres per capita per day could be calculated. The next aim was to record the household assets relating to their water access. The household storage volume was estimated using the volume and quantity of their storage containers (larger containers are typically labelled with their volume making this a reliable estimate). The households were also asked to estimate the contribution of the piped supply to meeting their water needs in comparison to other sources. Another objective of the research was to establish how households behave in relation to their piped water supply. Therefore, questions relating to the typical manner in which households use water were included in the survey. The household’s perceptions of their current piped water supply were assessed in terms of both hours of supply per day and their perceived water quality. Another aim was to establish households’ consumer demand satisfaction (CDS) and their attitudes towards changes in the water supply. CDS is a challenging attribute to measure directly. Instead, two questions regarding the household’s desire for longer supply hours and for more water were selected. These aimed to establish their desire for increased piped water availability, which could be viewed as a proxy for their current demand satisfaction.The survey questions were checked against the ‘Core questions on drinking water, sanitation and hygiene for household surveys’ (UNICEF & WHO, 2018). This survey includes all the relevant questions set out in the ‘core questions for drinking water’ section of this international standard.In addition, the International Wealth Index (IWI) of the household was collected, IWI is a global standard aimed at estimating household wealth in a universally comparable way based on household assets (Smits & Steendijk, 2015). To assess the current piped water availability of households from a water security perspective, the Household Water InSecurity Experiences (HWISE) (Young et al., 2019) survey was employed. The HWISE scale aims to measure water insecurity in a universal scale to aid comparison across locations and cultures.The ethical approval number for this research is: 049120

  11. OLAS/SCL WASH Household Survey Dataset

    • data.iadb.org
    csv
    Updated May 8, 2025
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    IDB Datasets (2025). OLAS/SCL WASH Household Survey Dataset [Dataset]. http://doi.org/10.60966/8yvsrxmk
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    csvAvailable download formats
    Dataset updated
    May 8, 2025
    Dataset provided by
    Inter-American Development Bankhttp://www.iadb.org/
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2003 - Jan 1, 2023
    Description

    The OLAS/SCL Household Survey Data Set contains 47 water and sanitation related indicators generated from microdata from national household surveys throughout the region. The data set contains information from 2003-2022 for 22 countries throughout Latin America and the Caribbean. Indicators are provided in terms of household percentage and total households that fall into each category, and can be broken down by various socioeconomic dimensions, including area (urban or rural community), income quintile, migratory status, ethnicity, and disability status. This dataset is the result of a collaboration between INE/WSA and SCL, and is a subset of the larger IDB SCL Indicators dataset.

  12. U

    Mali Household De-identified Survey Data

    • dataverse-staging.rdmc.unc.edu
    doc, docx, tsv, xls
    Updated Jun 9, 2017
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    Georgia Kayser; Amy Guo; Julian Oliver; Ronna Chan; Mike Bowling; A.J. Karon; Georgia Kayser; Amy Guo; Julian Oliver; Ronna Chan; Mike Bowling; A.J. Karon (2017). Mali Household De-identified Survey Data [Dataset]. http://doi.org/10.15139/S3/OXCNM4
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    tsv(5707865), xls(64512), docx(16423), tsv(1181), doc(1472552)Available download formats
    Dataset updated
    Jun 9, 2017
    Dataset provided by
    UNC Dataverse
    Authors
    Georgia Kayser; Amy Guo; Julian Oliver; Ronna Chan; Mike Bowling; A.J. Karon; Georgia Kayser; Amy Guo; Julian Oliver; Ronna Chan; Mike Bowling; A.J. Karon
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    This data comes from representative household surveys in World Vision program areas and comparison areas, conducted in Mali in 2014, evaluating water, sanitation, and hygiene access and practices in rural households. It is part of a ten-country baseline evaluation designed and led by The Water Institute at the University of North Carolina.

  13. P

    Marshall Isld. Water Project Survey 2009

    • pacificdata.org
    Updated Aug 18, 2013
    + more versions
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    ['Economic Policy, Planning and Statistics Office'] (2013). Marshall Isld. Water Project Survey 2009 [Dataset]. https://pacificdata.org/data/dataset/groups/spc_mhl_2009_wps_v01_m
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    Dataset updated
    Aug 18, 2013
    Dataset provided by
    ['Economic Policy, Planning and Statistics Office']
    Time period covered
    Jan 1, 2009 - Dec 31, 2009
    Description

    Under the EU Envelope B project a total of 350 1,500 gallon water catchment units would be made available for Majuro and 150 1,500 gallon units for Ebeye. It was understood at the beginning of the project that the need for water catchments in the urban areas would far out strip the units being brought on island. The need for some type of survey or assessment to better understand conditions on the ground was quickly apparent. As the survey went forward a major definition was agreed to as what defined not having a water catchment. Households with less than 350 gallons of household water storage were classified as not having a water catchment. Typically the smallest catchments that can be purchased in retail stores are about 400 gallons. In addition using accepted international definitions for improved water storage, the blue plastic water barrels many people use for water collection are not classified as proper or improved household water catchments. This is due to their small individual size, approximately 35 gallons.

    A survey was developed using questions from standard household surveys and some additional questions were inserted after consultation and review by other interested government agencies and NGOs. The survey content covered basic demographics questions, household characteristics and questions on water storage, source and availability.

    During the course of the survey operations, it was soon recognized how much more was needed to conduct this project in the field over earlier sample surveys conducted by EPPSO. Much of the problem was the reliance on older 1999 Census information on the total number of households on Majuro. EPPSO had been looking at approximately 3,200 households total, not 4,300. The survey operation, as a result was much more extensive and expensive than anticipated and consequently significantly short of the budget required for house to house work. EPPSO was able to work with the EU/SOPAC project management and the World Bank/OECD to increase survey budgets, as an additional $20,000 was provided by the World Bank/OECD. In addition there were technical assistance training inputs from the Secretariat of the Pacific Community (SPC) on data processing and SOPAC for GIS mapping.

    Version 1.0 - edited data not anonymized; basis for published reports

    Demographics: Respondent characteristics; number of hh members by age range; number of income earners; total annual income
    Household: household characteristics; water storage, availability and source; sanitation practices;

    • Collection start: 2009
    • Collection end: 2009
  14. Water Portfolio Household Survey, Round 1, Kilifi County, Kenya, 2022

    • beta.ukdataservice.ac.uk
    Updated 2024
    + more versions
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    datacite (2024). Water Portfolio Household Survey, Round 1, Kilifi County, Kenya, 2022 [Dataset]. http://doi.org/10.5255/ukda-sn-857242
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    Dataset updated
    2024
    Dataset provided by
    DataCitehttps://www.datacite.org/
    UK Data Servicehttps://ukdataservice.ac.uk/
    Area covered
    Kilifi County, Kenya
    Description

    The survey was administered in Kaloleni, Magarini, and Ganze of Kilifi County, Kenya. These sub-counties are mainly rural, and many households consist of a large homestead with several small huts built on the compound. Often extended families live together on the compound and share daily tasks. In some homesteads, co-wives reside together, although not necessarily in the same dwelling. Many of these households engage in rainfed agriculture and often rely on water collected from multiple sources of water away from the compound for their domestic needs and livestock.

    The household survey had two components: a household questionnaire and an individual questionnaire. The household-level questionnaire was first administered to the primary respondent who makes the decisions and is the most informed about the household’s water choices. After administering the household-level questionnaire, each adult household member 18 years and older was interviewed privately. The individual questionnaire included survey tools developed as part of MAGNET focus on dimensions of women’s agency: control over assets and decision making.

  15. f

    Household water sources and related variables by area (Urban vs Rural)1.

    • plos.figshare.com
    xls
    Updated Jun 13, 2023
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    Mohammed Husein; Carole Debora Nounkeu; Seth Armah; Jigna M. Dharod (2023). Household water sources and related variables by area (Urban vs Rural)1. [Dataset]. http://doi.org/10.1371/journal.pwat.0000049.t002
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 13, 2023
    Dataset provided by
    PLOS Water
    Authors
    Mohammed Husein; Carole Debora Nounkeu; Seth Armah; Jigna M. Dharod
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Household water sources and related variables by area (Urban vs Rural)1.

  16. Water, Sanitation and Hygiene (WASH) Survey - Knowledge, Attitudes and...

    • microdata.worldbank.org
    • datacatalog.ihsn.org
    • +1more
    Updated Dec 14, 2022
    + more versions
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    UNHCR (2022). Water, Sanitation and Hygiene (WASH) Survey - Knowledge, Attitudes and Practices(KAP), New Nyarugusu Camp, April 2021 - Tanzania [Dataset]. https://microdata.worldbank.org/index.php/catalog/5266
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    Dataset updated
    Dec 14, 2022
    Dataset provided by
    United Nations High Commissioner for Refugeeshttp://www.unhcr.org/
    Authors
    UNHCR
    Time period covered
    2021
    Area covered
    Tanzania
    Description

    Abstract

    This dataset was collected as part of the water, sanitation and hygiene (WASH) survey in the New Nyarugusu Camp in Western Tanzania. This survey is intended to generate an understanding of the communities' level of knowledge, attitudes and practices gained through WASH interventions in the camps and project performance indicators measurements. As of the survey period, New Nyarugusu camp was accommodating about 50.000 refugees, asylum seekers and others of concern to UNHCR.

    The questionnaire followed UNHCR WASH standard methodology, translated into both English and Kiswahili. Enumerators used Kiswahili version, translation into Kirundi carried out when interviewing respondents who did not understand Swahili.

    Geographic coverage

    Nyarugusu - Burundian Camp

    Analysis unit

    Households

    Universe

    All refugees in the camp

    Kind of data

    Sample survey data [ssd]

    Sampling procedure

    A two staged cluster was used for this sampling. A cluster approach was applied to select villages for the survey, whereas simple random sampling to select households. 232 households were estimated to be selected using simple random sampling, for anticipated non-response rate of 5%.The team interviewed 380 households.

    Mode of data collection

    Face-to-face [f2f]

  17. g

    Ghana Household Deidentified Survey Data

    • search.gesis.org
    • dataverse-staging.rdmc.unc.edu
    Updated May 1, 2021
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    GESIS search (2021). Ghana Household Deidentified Survey Data [Dataset]. https://search.gesis.org/research_data/datasearch-httpsdataverse-unc-eduoai--doi10-15139S3CZHF5A
    Explore at:
    Dataset updated
    May 1, 2021
    Dataset provided by
    GESIS search
    UNC Dataverse
    License

    https://search.gesis.org/research_data/datasearch-httpsdataverse-unc-eduoai--doi10-15139S3CZHF5Ahttps://search.gesis.org/research_data/datasearch-httpsdataverse-unc-eduoai--doi10-15139S3CZHF5A

    Description

    This data comes from representative household surveys in World Vision program areas and comparison areas, conducted in Ghana in 2014, evaluating water, sanitation, and hygiene access and practices in rural households. It is part of a ten-country baseline evaluation designed and led by The Water Institute at the University of North Carolina.

  18. Morocco Water Access

    • redivis.com
    application/jsonl +7
    Updated Oct 6, 2021
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    Data for Development Initiative (2021). Morocco Water Access [Dataset]. https://redivis.com/datasets/cmk4-8yvmxkp2e
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    spss, arrow, csv, application/jsonl, parquet, sas, avro, stataAvailable download formats
    Dataset updated
    Oct 6, 2021
    Dataset provided by
    Redivis Inc.
    Authors
    Data for Development Initiative
    Area covered
    Morocco
    Description

    Section 3

    Survey instrument:

    Section 2

    Description and codebook for subset of harmonized variables:

    Section 5

    Survey instrument:

    Section 11

    Survey instrument:

    Section 8

    Survey instrument:

    Section 15

    Survey instrument:

    Section 9

    Survey instrument:

    Section 4

    Survey instrument:

    Section 6

    Survey instrument:

    Section 13

    Survey instrument:

    Section 14

    Survey instrument:

    Documentation

    Full Project Name: Happiness on Tap: Piped Water Adoption in Urban Morocco

    PIs: Florencia Devoto, Esther Duflo, Pascaline Dupas, William Parienté, Vincent Pons

    Unique ID: 93

    Location: Tangiers, Morocco

    Sample: 1,000 home owners in urban areas

    Timeline: 2007 - 2008

    Target Group: Urban population

    Outcome of Interest: Citizen satisfaction, Diarrhea

    Guide to Datasets:

    Published Papers:

    More Information: https://www.povertyactionlab.org/evaluation/household-water-connections-tangier-morocco

    Section 10

    Survey instrument:

    Section 12

    This dataset was created on 2021-10-06 18:54:24.290 by merging multiple datasets together. The source datasets for this version were:

    Morocco Water Access:

    Morocco Water Access Household Distance to Tap: distances_price_zones_anl : Contains information about the distance to the closest public tap and the pricing schedule for the BSI connection

    Morocco Water Access Endline Household, Part 1: endline_ACD_hhid_anl : household survey data at endline from section A, C, and D in the survey instrument

    Morocco Water Access Household Treatment Spillover: spillovers_anl : Contains information about the share of treatment households within 20 or 50 meters radius. Also contains information about whether households had gotten connected to the grid by August 2009

    Morocco Water Access Baseline Illness Diary: suivimaladies_decembre07_corr_anl : illness diary data from December 2007

    Morocco Water Access Baseline Household: baseline_menage_hhid_anl : baseline household survey

    Morocco Water Access Endline Household, Part 2: endline_BDEFKLM_hhid_anl : household data at endline from survey sections B, D, E, F, K, L, and M

    Section 7

    This dataset was created on 2021-10-06 18:53:18.211 by merging multiple datasets together. The source datasets for this version were:

    Morocco Water Access Baseline Age-Gender Reference: sexe_age_ref_anl : reference dataset for sex and age of each household member at baseline

    Morocco Water Access Endline Education: education_endline_anl : data on whether children in household were registered for school at endline

    Morocco Water Access Endline School Diary: scolarisation_endline_anl : children's school diary data at endline

    Morocco Water Access Endline Illness Diary: suivimaladies_novembre08_corr_anl : illness diary data from endline November 2008

    Section 16

    This dataset was created on 2021-10-06 20:34:05.138 by merging multiple datasets together. The source datasets for this version were:

    Morocco Water Access Baseline Household Roster: baseline_roster_hhid_anl : household roster from baseline survey

    Morocco Water Access:

    Morocco Water Access Endline Presence of E. Coli: endline_colis_anl : presence of e. coli in household water supply at endline

    Morocco Water Access Treatment/ Control Groups: groupe_connexion_anl : Dataset with information about who is treatment and who is control, and whether those in the treatment groups got connected to the grid, and if so the date of the connection

    Morocco Water Access Baseline School Diary: scolarisation_baseline_anl : children's school diary data at baseline

    Morocco Water Access Midline 1 Illness Diary: suivimaladies_mai08_corr_anl : illness diary data from first followup after baseline in May 2008

    Morocco Water Access Midline 2 Illness Diary: suivimaladies_aout08_corr_anl : illness diary data from second followup in August 2008

  19. c

    Household water and welfare survey in Kitui County, Kenya 2018

    • datacatalogue.cessda.eu
    • beta.ukdataservice.ac.uk
    Updated Jun 14, 2025
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    Katuva, J; Hope, R; Koehler, J (2025). Household water and welfare survey in Kitui County, Kenya 2018 [Dataset]. http://doi.org/10.5255/UKDA-SN-854561
    Explore at:
    Dataset updated
    Jun 14, 2025
    Dataset provided by
    University of Oxford
    Authors
    Katuva, J; Hope, R; Koehler, J
    Time period covered
    Mar 9, 2018 - Mar 20, 2018
    Area covered
    Kenya
    Variables measured
    Household
    Measurement technique
    A team of local enumerators used tablets to administer the survey. Data collection was conducted using questionnaires pre-loaded onto Android tablets. Given the low population densities of 11 to 54 people per square kilometre on a 4,769 km2 mass study area, all the villages in the subcounty were first plotted on a 10 km grid map and a strategy developed on how to sample the households. The villages revealed a non-uniform spread in the study area. It was therefore agreed to randomly sample at least 40 households around each village. Daily quality control was coordinated by a locally-based research manager with support from the Oxford team. The research was registered with Government of Kenya’s National Commission for Science, Technology and Innovation and complied with the University of Oxford’s research and ethics guidelines to ensure informed consent, confidentiality and no harm to all participants. The survey was conducted by the University of Oxford with support from Rural Focus Ltd in collaboration with Kitui County Governments’ Ministry of Agriculture, Water and Livestock Development, and the Government of Kenya’s Ministry of Education and County Ministry of Health, and UNICEF-Kenya.
    Description

    This data was collected through a survey of households in one subcounty of Kitui County Kenya with questions relating to water supply, welfare and living conditions. The survey was funded by the US government (USAID) Sustainable WASH Systems project in partnership with Kitui County Government and UNICEF. The sample consisted of 1457 households selected by random sampling of 40 households per village across the study area.

    The Sustainable WASH Systems Learning Partnership is a global USAID cooperative agreement to identify locally-driven solutions to the challenge of developing robust local systems capable of sustaining water, sanitation, and hygiene (WASH) service delivery.

  20. i

    Percentage of dwellings whose residents have adopted measures for reducing...

    • ine.es
    csv, html, json +4
    Updated Apr 28, 2011
    + more versions
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    INE - Instituto Nacional de Estadística (2011). Percentage of dwellings whose residents have adopted measures for reducing water consumption, by type of home and type of measure adopted (habits and devices) [Dataset]. https://www.ine.es/jaxi/Tabla.htm?path=/t25/p500/2008/p02/l1/&file=01201.px&L=1
    Explore at:
    xlsx, txt, text/pc-axis, xls, csv, json, htmlAvailable download formats
    Dataset updated
    Apr 28, 2011
    Dataset authored and provided by
    INE - Instituto Nacional de Estadística
    License

    https://www.ine.es/aviso_legalhttps://www.ine.es/aviso_legal

    Variables measured
    Type of household, Measures adopted (habits and devices) for reducing water consumption
    Description

    Survey on Households and the Environment: Percentage of dwellings whose residents have adopted measures for reducing water consumption, by type of home and type of measure adopted (habits and devices). National.

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Douglas Jackson-Smith; Courtney Flint (2021). Utah's Water Future - 2014 Household Survey [Dataset]. https://search.dataone.org/view/sha256%3A38db8d8e0120b5d3061bedcaeb98600c8ce64dc549fa338ed7a8c8843662b2e7

Utah's Water Future - 2014 Household Survey

Explore at:
Dataset updated
Dec 5, 2021
Dataset provided by
Hydroshare
Authors
Douglas Jackson-Smith; Courtney Flint
Time period covered
Jan 1, 2014 - Dec 31, 2014
Area covered
Description

These data reflect results of a household survey implemented in the summer of 2014. The survey randomly sampled households from 23 neighborhoods (census block groups) across 12 cities and 3 counties. Neighborhoods were purposively selected to represent different configurations of social, built, and natural environmental characteristics using the "iUTAH Urban Typology" (https://www.hydroshare.org/resource/84f00a1d8ae641a8af2d994a74f4ccfb/). Data were collected using a drop-off/pick-up methodology, and produced an overall response rate of over 62% (~2,400 respondents). The questionnaire included detailed questions related to household water use and landscaping behaviors, perceptions of water supply and quality, participation in water based recreation, concerns about water issues, and preferences for a range of local and state water policies.

Here we are making public an anonymized version of the large household survey dataset. To protect the identity of respondents, we have removed a few variables and truncated other variables.

Files included here: englishsurveys and spanishsurveys: These folders contain the survey questionnaires used specific to each neighborhood. Codebook in various formats: Tables (xls and csv files) with a list and definition of questions/variables, which correspond to the columns in the data files, and the encoding of the responses. Dataset in various formats: Tables (csv, xls, sas, sav, dta files) containing numeric responses to each question. Each participant's responses correspond to a row of data. Each question corresponds to a column of data. Interpretation of the coded responses is found in the data codebook. Maps: maps of the neighborhoods surveyed. SummaryReports: Summaries of the results that compare across three counties, summary reports for each county, highlight reports for each city.

Summary reports are also available at http://data.iutahepscor.org/mdf/Data/household_survey/ including an overall report that provides comparisons of how these vary across the three counties where we collected data (Cache, Salt Lake, and Wasatch) as well as summary reports for each county and highlights reports for each city.

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