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World Vision 14-Country Evaluation Dataverse (University of North Carolina at Chapel Hill)
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This dataverse contains data from households, communities/water points, schools, and healthcare facilities, collected in a 14-country evaluation of World Vision's water, sanitation, and hygiene (WaSH) programs. This includes data from rural sub-national areas of Ethiopia, Ghana, Honduras, India, Kenya, Malawi, Mali, Mozambique, Niger, Rwanda, Tanzania, Uganda, Zambia, and Zimbabwe.
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1 to 10 of 12 Results
Jan 10, 2020
The Water Institute at UNC; World Vision Inc., 2020, "Healthcare Facilities Deidentified Survey Data", https://doi.org/10.15139/S3/L6J30J, UNC Dataverse, V1, UNF:6:rsoNVg26VMdKiB/I5tyV8g== [fileUNF]
This data was generated from a 14-country evaluation of rural outpatient healthcare facilities, and describes water service, sanitation facilities, hygiene facilities, healthcare waste management, administration and training, and satisfaction with services. The evaluation was con...
MS Word (docx) - 76.5 KB - MD5: bd4c322d18a785d3abf460f5966a2fdc
Codebook of survey questions, corresponding variable labels, and coded survey responses.
Tab-Delimited - 2.5 MB - MD5: a3bfe915d5aefc289367c543fe6c5783
Clean, de-identified dataset from all surveyed healthcare facilities in the 14 countries.
Jan 10, 2020
The Water Institute at UNC; World Vision Inc., 2020, "Schools Deidentified Survey Data", https://doi.org/10.15139/S3/NHCTI2, UNC Dataverse, V1, UNF:6:vgI8k9MWfDs1394xAHOUoA== [fileUNF]
This data was generated from a 14-country evaluation of rural schools, and describes water service, sanitation facilities, hygiene facilities and practices, waste management, school management, and satisfaction with services. The evaluation was conducted in World Vision WaSH prog...
MS Word (docx) - 63.1 KB - MD5: 97cb38f4091cb6a3433effc00817298f
Codebook of survey questions, corresponding variable labels, and coded survey responses.
Tab-Delimited - 2.7 MB - MD5: 66d9cbe34cb3a3e5427602420cf2b492
Clean, de-identified dataset from all surveyed schools in the 14 countries.
Jan 10, 2020
The Water Institute at UNC; World Vision Inc., 2020, "Water Point and Community Deidentified Survey Data", https://doi.org/10.15139/S3/J3IVUG, UNC Dataverse, V1, UNF:6:TFsiu1aYsb3kh04eEWq4tA== [fileUNF]
This data was generated from a 14-country evaluation of rural water points and describes water service, water quality, and characteristics of the communities where water points are located. The evaluation was conducted in World Vision WaSH program areas, as well as comparison are...
MS Word (docx) - 38.6 KB - MD5: e625c113bea3c060282bf2022e633e43
Codebook of survey questions, corresponding variable labels, and coded survey responses.
Tab-Delimited - 2.1 MB - MD5: ccae5e7c91f826f3e6dde035abfc11e7
Clean, de-identified dataset from all surveyed water points in the 14 countries.
Jan 10, 2020
The Water Institute at UNC; World Vision Inc., 2020, "Household Deidentified Survey Data", https://doi.org/10.15139/S3/XALHIY, UNC Dataverse, V1, UNF:6:z6GQnWb8hzIT0P9jXAEi3A== [fileUNF]
This data was generated from a 14-country evaluation of rural households, and describes household characteristics, water service and use; sanitation behaviors and facilities; hygiene behaviors and facilities; and cleanliness. The evaluation was conducted in World Vision WaSH prog...
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