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  • 10+ Downloads
    Time Period of the Dataset [?]: November 01, 2019-November 30, 2019 ... More
    Modified [?]: 7 February 2021
    Dataset Added on HDX [?]: 7 February 2021
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - Uganda Wash Surveys
    Uganda is hosting over 1 million refugees with about 114,716 (OPM Nov 2019) of them settled in Kyangwali refugee settlement. This rapid influx of refugees has put pressure on basic social services including education, food, shelter and WASH infrastructure. In order to efficiently and effectively improve WASH service delivery in the settlement, there is need for accurate and reliable information on which to base programmatic decisions. Kyangwali settlement has had a number of interventions by different partners, and in as much as there were access indicators obtained regularly by the partners that provide extremely useful average figures at settlement level, there has been a gap in the in-depth understanding of the situation at household level and to account for disparities within the settlement so as to measure the impact of the interventions. The survey mainly utilized 2 methods: Household questionnaire survey and documentary review. The survey covered all the five zones of the settlement, with samples drawn from all the villages in the different zones. Sample sizes for each zone were calculated using the UNHCR sample size determination tool. A sample of 403 (only refugees) was interviewed using household questionnaire survey administered through Kobo collect and Open Data Kit (ODK) tool. Reviewed documents included: partners periodic updates, minutes of WASH meetings.
  • 20+ Downloads
    Time Period of the Dataset [?]: September 01, 2019-September 30, 2019 ... More
    Modified [?]: 7 February 2021
    Dataset Added on HDX [?]: 7 February 2021
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - Uganda Wash Surveys
    The purpose of the WASH KAP survey was to collect primary data on several indicators related to the WASH Program implemented in the refugee and host communities of Palabek Settlement, Uganda. The survey aimed at assessing the level of improvement on the accessibility of WASH facilities after a 2 year intervention project. The survey used cross-sectional design used and both qualitative and quantitative techniques such as use of UNHCR standard WASH questionnaires, field visits and observations were employed during the study. In the 2019/20, the LWF provided WASH services to both refugee settlements and host community living in and around Palabek settlement. In order to gauge the coverage, the LWF conducted this KAP survey. The respondents were drawn from the host community (238 households) and the refugee settlement (446 households).
  • 20+ Downloads
    Time Period of the Dataset [?]: December 02, 2019-December 09, 2019 ... More
    Modified [?]: 7 February 2021
    Dataset Added on HDX [?]: 7 February 2021
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - Uganda Wash Surveys
    This report presents findings, discussions, conclusions and recommendations made following a survey of the Water Sanitation and Hygiene (WASH) Knowledge, Attitude and Practice (KAP) among refugees in Kakuma refugee camps and Kalobeyei settlement in Turkana West in Turkana County, Kenya. Two principle methods were used to collect primary data: household questionnaire and documents review in a summative evaluation approach. The survey adopted a summative evaluation approach and a combination of quantitative and qualitative methods were used to obtain answers to the survey questions. The mixed approach was adopted for purposes of complementary, triangulation, and validation of responses. Primary data was collected with the use of household questionnaires, Key Informant Interviews (KIIs) and review of existing literatures and reports. The inclusive criteria of the survey allowed the enumerators to collect data from household heads or any household member of age 18 years and above who consented to participate in the survey. Qualitative methods mainly KIIs were also adopted in order to gather an in-depth understanding of the perspectives of the various primary targets of the programme. These included households, members of WASH Committees, NRC staff and staff from the implementing partner agencies. Observation method was also used during the survey to assess WASH infrastructure and human habits. The infrastructure included; water points, sanitation and hygiene facilities. The stratified random sampling survey was carried out in in the 4 camps of Kakuma and the 3 villages of Kalobeyei. In Kakuma, all the 13 zones were included in the study for significant representation. The study population comprised all the households for the 192,352 refugees and asylum seekers registered in Kakuma camp (153,593) and Kalobeyei settlement (36,099) as per UNHCR population statistics of August 2019. The respondents were sampled household heads or family members aged 18 years and above. Although teachers who are patrons of school health clubs where institutional latrines had been done were targeted for interview, they were not reached due to school vacation.
  • 20+ Downloads
    Time Period of the Dataset [?]: December 02, 2019-December 09, 2019 ... More
    Modified [?]: 1 October 2020
    Dataset Added on HDX [?]: 26 May 2021
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - Uganda Wash Surveys
    This report presents findings, discussions, conclusions and recommendations made following a survey of the Water Sanitation and Hygiene (WASH) Knowledge, Attitude and Practice (KAP) among refugees in Kakuma refugee camps and Kalobeyei settlement in Turkana West in Turkana County, Kenya. Two principle methods were used to collect primary data: household questionnaire and documents review in a summative evaluation approach. The survey adopted a summative evaluation approach and a combination of quantitative and qualitative methods were used to obtain answers to the survey questions. The mixed approach was adopted for purposes of complementary, triangulation, and validation of responses. Primary data was collected with the use of household questionnaires, Key Informant Interviews (KIIs) and review of existing literatures and reports. The inclusive criteria of the survey allowed the enumerators to collect data from household heads or any household member of age 18 years and above who consented to participate in the survey. Qualitative methods mainly KIIs were also adopted in order to gather an in-depth understanding of the perspectives of the various primary targets of the programme. These included households, members of WASH Committees, NRC staff and staff from the implementing partner agencies. Observation method was also used during the survey to assess WASH infrastructure and human habits. The infrastructure included; water points, sanitation and hygiene facilities. The stratified random sampling survey was carried out in in the 4 camps of Kakuma and the 3 villages of Kalobeyei. In Kakuma, all the 13 zones were included in the study for significant representation. The study population comprised all the households for the 192,352 refugees and asylum seekers registered in Kakuma camp (153,593) and Kalobeyei settlement (36,099) as per UNHCR population statistics of August 2019. The respondents were sampled household heads or family members aged 18 years and above. Although teachers who are patrons of school health clubs where institutional latrines had been done were targeted for interview, they were not reached due to school vacation.
  • 10+ Downloads
    Time Period of the Dataset [?]: September 01, 2019-September 30, 2019 ... More
    Modified [?]: 23 September 2020
    Dataset Added on HDX [?]: 26 May 2021
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - Uganda Wash Surveys
    The purpose of the WASH KAP survey was to collect primary data on several indicators related to the WASH Program implemented in the refugee and host communities of Palabek Settlement, Uganda. The survey aimed at assessing the level of improvement on the accessibility of WASH facilities after a 2 year intervention project. The survey used cross-sectional design used and both qualitative and quantitative techniques such as use of UNHCR standard WASH questionnaires, field visits and observations were employed during the study. In the 2019/20, the LWF provided WASH services to both refugee settlements and host community living in and around Palabek settlement. In order to gauge the coverage, the LWF conducted this KAP survey. The respondents were drawn from the host community (238 households) and the refugee settlement (446 households).
  • 20+ Downloads
    Time Period of the Dataset [?]: November 01, 2019-November 30, 2019 ... More
    Modified [?]: 20 May 2020
    Dataset Added on HDX [?]: 27 May 2021
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - Uganda Wash Surveys
    Uganda is hosting over 1 million refugees with about 114,716 (OPM Nov 2019) of them settled in Kyangwali refugee settlement. This rapid influx of refugees has put pressure on basic social services including education, food, shelter and WASH infrastructure. In order to efficiently and effectively improve WASH service delivery in the settlement, there is need for accurate and reliable information on which to base programmatic decisions. Kyangwali settlement has had a number of interventions by different partners, and in as much as there were access indicators obtained regularly by the partners that provide extremely useful average figures at settlement level, there has been a gap in the in-depth understanding of the situation at household level and to account for disparities within the settlement so as to measure the impact of the interventions. The survey mainly utilized 2 methods: Household questionnaire survey and documentary review. The survey covered all the five zones of the settlement, with samples drawn from all the villages in the different zones. Sample sizes for each zone were calculated using the UNHCR sample size determination tool. A sample of 403 (only refugees) was interviewed using household questionnaire survey administered through Kobo collect and Open Data Kit (ODK) tool. Reviewed documents included: partners periodic updates, minutes of WASH meetings.
  • 1000+ Downloads
    Time Period of the Dataset [?]: January 01, 2023-December 31, 2023 ... More
    Modified [?]: 20 January 2020
    Dataset Added on HDX [?]: 16 February 2017
    This dataset updates: Every year
    This dataset is part of the data series [?]: Hydrology
    Türkiye Rivers
  • 1800+ Downloads
    Time Period of the Dataset [?]: January 01, 2003-January 01, 2003 ... More
    Modified [?]: 16 August 2018
    Dataset Added on HDX [?]: 1 September 2015
    This dataset updates: Every year
    This dataset is part of the data series [?]: Hydrology
    Kenyan lakes data from DEPHA last updated 2003
  • 2800+ Downloads
    Time Period of the Dataset [?]: January 01, 2003-January 01, 2003 ... More
    Modified [?]: 16 August 2018
    Dataset Added on HDX [?]: 1 September 2015
    This dataset updates: Every year
    This dataset is part of the data series [?]: Hydrology
    Kenyan Rivers Rivers data is from DEPHA last updated 2003
  • 2100+ Downloads
    Time Period of the Dataset [?]: February 02, 2012-February 02, 2012 ... More
    Modified [?]: 16 August 2018
    Dataset Added on HDX [?]: 1 September 2015
    This dataset updates: Never
    This dataset is part of the data series [?]: Hydrology
    Nigeria river courses Scale: 1/1,000,000
  • 1200+ Downloads
    Time Period of the Dataset [?]: June 15, 2012-June 15, 2012 ... More
    Modified [?]: 16 August 2018
    Dataset Added on HDX [?]: 1 September 2015
    This dataset updates: Every year
    This dataset is part of the data series [?]: Hydrology
    Main and secondary rivers and water bodies of Mali The dataset represents: * the main and secondary rivers,* lakes (natural and artificial) and floodplain of Mali. Scale: 1/1,000,000
  • 200+ Downloads
    Time Period of the Dataset [?]: January 18, 2021-January 18, 2021 ... More
    Modified [?]: 16 August 2018
    Dataset Added on HDX [?]: 1 September 2015
    This dataset updates: Every year
    This dataset is part of the data series [?]: Hydrology
    The present geodata represents the hydrography network. It comes from Digital Chart of the World (DCW). Scale: 1/1,000,000
  • 1500+ Downloads
    Time Period of the Dataset [?]: April 16, 2013-April 16, 2013 ... More
    Modified [?]: 16 August 2018
    Dataset Added on HDX [?]: 16 October 2015
    This dataset updates: Every year
    This dataset is part of the data series [?]: Hydrology
    Main river and sream of Sri Lanka Scale : 250k ArcGIS Projected Coordinate System : SLD-Kandawala.prj
  • 1200+ Downloads
    Time Period of the Dataset [?]: January 01, 2005-January 01, 2005 ... More
    Modified [?]: 16 August 2018
    Dataset Added on HDX [?]: 16 October 2015
    This dataset updates: Every year
    This dataset is part of the data series [?]: Hydrology
    This is the Hydrology network in Thailand. It includes major rivers and lakes (as Polygons) as well as streams and canals (as Lines). This data comes from GISTA The Thai Space Agency.
  • 500+ Downloads
    Time Period of the Dataset [?]: January 01, 2004-January 01, 2004 ... More
    Modified [?]: 15 August 2018
    Dataset Added on HDX [?]: 18 November 2015
    This dataset updates: As needed
    This dataset is part of the data series [?]: Hydrology
    Water bodies, coastline and river.
  • 6400+ Downloads
    Time Period of the Dataset [?]: January 01, 2000-January 01, 2000 ... More
    Modified [?]: 15 August 2018
    Dataset Added on HDX [?]: 16 October 2015
    This dataset updates: As needed
    This dataset is part of the data series [?]: Hydrology
    River data for Bangladesh.
  • 1100+ Downloads
    Time Period of the Dataset [?]: October 31, 2016-October 31, 2016 ... More
    Modified [?]: 15 August 2018
    Dataset Added on HDX [?]: 16 October 2015
    This dataset updates: Every year
    This dataset is part of the data series [?]: Hydrology
    Données Hydrologiques Les cours d'eau, les lacs, les cascades
  • 1500+ Downloads
    Time Period of the Dataset [?]: January 01, 2000-January 01, 2000 ... More
    Modified [?]: 15 August 2018
    Dataset Added on HDX [?]: 16 October 2015
    This dataset updates: As needed
    This dataset is part of the data series [?]: Hydrology
    The original source of the data is Local Government Engineering Department (LGED) of Bangladesh. Dataset updated by WFP, Map Action and OCHA.
  • 4400+ Downloads
    Time Period of the Dataset [?]: November 30, 2013-November 30, 2013 ... More
    Modified [?]: 25 November 2015
    Dataset Added on HDX [?]: 16 October 2015
    This dataset updates: As needed
    This dataset is part of the data series [?]: Hydrology
    River system in 250km scale. Projection is WGS84. Some segments contain names in the attribute.
  • 3800+ Downloads
    Time Period of the Dataset [?]: January 01, 2001-January 01, 2001 ... More
    Modified [?]: 24 November 2015
    Dataset Added on HDX [?]: 26 April 2015
    This dataset updates: Never
    This dataset is part of the data series [?]: Hydrology
    River data for Nepal.