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  • Bangladesh - WASH Knowledge, Attitudes and Practices survey - 2023
    UNHCR - The UN Refugee Agency
    10+ Downloads
    Time Period of the Dataset [?]: November 15, 2023-November 23, 2023 ... More
    Modified [?]: 5 April 2024
    Dataset Added on HDX [?]: 14 April 2024
    Less
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - WASH Knowledge, Attitudes and Practices survey
    Routine monitoring of the WASH services provided is paramount for quality assurance, ensuring the set standards are met within stipulated timelines, challenges are identified in time and solutions are sought. UNHCR (Cox’s Bazar Field Office) conducted the third round of its WASH Knowledge, Attitude and Practice (KAP) survey from 15th to 23rd November 2023 in UNHCR’s area of operation in Kutupalong and Teknaf. Five WASH partners implemented the survey. The objectives of the study were: 1. To monitor and evaluate impacts of UNHCR WASH interventions in camps; 2. To identify and measure weaknesses and gaps in UNHCR WASH interventions in 2023; 3. To provide guidance for UNHCR WASH future interventions and future sustainable WASH programming for Rohingya refugees; 4. Be able to compare UNHCR Bangladesh WASH interventions to UNHCR Global KAP standards.
  • Bangladesh - WASH Knowledge, Attitudes and Practices survey - 2022
    UNHCR - The UN Refugee Agency
    Time Period of the Dataset [?]: June 20, 2022-July 05, 2022 ... More
    Modified [?]: 28 December 2023
    Dataset Added on HDX [?]: 7 January 2024
    Less
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - WASH Knowledge, Attitudes and Practices survey
    Routine monitoring of the WASH services provided is paramount for quality assurance, ensuring the set standards are met within stipulated timelines, challenges are identified in time and solutions are sought. UNHCR (Cox’s Bazar Field Office) conducted the third round of its WASH Knowledge, Attitude and Practice (KAP) survey from 12th October to 7th November 2022 in UNHCR’s area of operation in Kutupalong and Teknaf. Five WASH partners implemented the survey. The objectives of the study were: 1.To monitor and evaluate impacts of UNHCR WASH interventions in camps; 2.To identify and measure weaknesses and gaps in UNHCR WASH interventions in 2022; 3.To provide guidance for UNHCR WASH future interventions and future sustainable WASH programming for Rohingya refugees; 4.Be able to compare UNHCR Bangladesh WASH interventions to UNHCR Global KAP standards.
  • Bangladesh - WASH Knowledge, Attitudes and Practices survey - 2021
    UNHCR - The UN Refugee Agency
    Time Period of the Dataset [?]: October 12, 2021-November 07, 2021 ... More
    Modified [?]: 22 September 2023
    Dataset Added on HDX [?]: 1 October 2023
    Less
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - WASH Knowledge, Attitudes and Practices survey
    UNHCR (Cox’s Bazar Field Office) conducted the third round of its WASH Knowledge, Attitude and Practice (KAP) survey from 12th October to 7th November 2021 in UNHCR’s area of operation in Kutupalong and Teknaf. Five WASH partners implemented the survey. The objectives of the study were: 1.To monitor and evaluate impacts of UNHCR WASH interventions in camps; 2.To identify and measure weaknesses and gaps in UNHCR WASH interventions in 2020; 3.To provide guidance for UNHCR WASH future interventions and future sustainable WASH programming for Rohingya refugees; 4.Be able to compare UNHCR Bangladesh WASH interventions to UNHCR Global KAP standards.
  • Bangladesh - WASH Knowledge, Attitudes and Practices survey - 2020
    UNHCR - The UN Refugee Agency
    10+ Downloads
    Time Period of the Dataset [?]: November 02, 2020-December 01, 2020 ... More
    Modified [?]: 4 July 2023
    Dataset Added on HDX [?]: 9 July 2023
    Less
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - WASH Knowledge, Attitudes and Practices survey
    UNHCR Cox’s Bazar Field Office conducted the second round of its WASH Knowledge, Attitude and Practice (KAP) survey from 2nd November to 1st December 2020 in UNHCR’s area of operation in Kutupalong and Teknaf. Five WASH partners implemented the survey: NGO Forum, BRAC, OXFAM, Solidarité International and ACF. Preparation began in early November, as UNHCR discussed methodologies with participating organisations. The objectives of the study were: 1.To monitor and evaluate impacts of UNHCR WASH interventions in camps; 2.To identify and measure weaknesses and gaps in UNHCR WASH interventions in 2019; 3.To provide guidance for UNHCR WASH future interventions and future sustainable WASH programming for Rohingya refugees; 4.UNHCR Bangladesh WASH interventions able to compare to UNHCR Global KAP standards.
  • DPS Nord-Kivu (RDC)
    OpenStreetMap RDC
    1900+ Downloads
    Time Period of the Dataset [?]: October 18, 2021-December 05, 2021 ... More
    Modified [?]: 7 January 2022
    Dataset Added on HDX [?]: 19 October 2021
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    This dataset updates: Every three months
    This dataset is part of the data series [?]: OSM - DRC Health Zones
    Données de base ou d'intérêt pour le secteur de la santé, extraites de la base de données OpenStreetMap, pour la province du Nord-Kivu. Ce dossier reprend actuellement des données publiées dans un contexte de formation et révision.
  • "Territoires sanitaires" (RDC) / "Territory Health" Divisions (DRC)
    OpenStreetMap RDC
    700+ Downloads
    Time Period of the Dataset [?]: November 09, 2021-December 12, 2021 ... More
    Modified [?]: 12 December 2021
    Dataset Added on HDX [?]: 30 June 2020
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    This dataset updates: As needed
    This dataset is part of the data series [?]: OSM - DRC Health Zones
    Les limites "sanitaires" des 145 territoires et 19 villes de la République démocratique du Congo, extraites de la base de données OpenStreetMap. The "health" limits of the 145 territories and 19 cities of the Democratic Republic of the Congo, extracted from the OpenStreetMap database.
  • Divisions provinciales de la santé (RDC) / Provincial Health Divisions (DRC)
    OpenStreetMap RDC
    1100+ Downloads
    Time Period of the Dataset [?]: November 09, 2021-December 12, 2021 ... More
    Modified [?]: 12 December 2021
    Dataset Added on HDX [?]: 30 June 2020
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    This dataset updates: As needed
    This dataset is part of the data series [?]: OSM - DRC Health Zones
    Les 26 divisions provinciales de la santé (DPS) de la République démocratique du Congo, extraites de la base de données OpenStreetMap. The 26 provincial health divisions of the Democratic Republic of the Congo, extracted from the OpenStreetMap database.
  • DPS Ituri (RDC)
    OpenStreetMap RDC
    900+ Downloads
    Time Period of the Dataset [?]: December 01, 2021-December 08, 2021 ... More
    Modified [?]: 9 December 2021
    Dataset Added on HDX [?]: 8 December 2021
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    This dataset updates: As needed
    This dataset is part of the data series [?]: OSM - DRC Health Zones
    Données de base ou d'intérêt pour le secteur de la santé, extraites de la base de données OpenStreetMap, pour la province de l'Ituri. Ce dossier reprend actuellement des données publiées dans un contexte de formation et révision.
  • Zone de santé Butembo (Nord-Kivu, RDC) / Butembo health zone (DRC)
    OpenStreetMap RDC
    600+ Downloads
    Time Period of the Dataset [?]: October 04, 2021-December 01, 2021 ... More
    Modified [?]: 2 December 2021
    Dataset Added on HDX [?]: 5 October 2021
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    This dataset updates: As needed
    This dataset is part of the data series [?]: OSM - DRC Health Zones
    Données de base ou d'intérêt pour le secteur de la santé, extraites de la base de données OpenStreetMap et reprenant le schéma attributaire d'OpenStreetMap Ce dossier reprend actuellement des données en cours de vérification, elles sont donc susceptibles de connaître des modifications fréquentes.
  • Zone de santé Katwa (Nord-Kivu, RDC) / Katwa health zone (DRC)
    OpenStreetMap RDC
    600+ Downloads
    Time Period of the Dataset [?]: November 17, 2021-December 01, 2021 ... More
    Modified [?]: 2 December 2021
    Dataset Added on HDX [?]: 18 November 2021
    Less
    This dataset updates: As needed
    This dataset is part of the data series [?]: OSM - DRC Health Zones
    Données de base ou d'intérêt pour le secteur de la santé, extraites de la base de données OpenStreetMap et converties suivant le schéma attributaire du Référentiel Géographique Commun de la RDC. Ce dossier reprend actuellement des données en cours de vérification, elles sont donc susceptibles de connaître des modifications fréquentes.
  • Zone de santé Kalunguta (Nord-Kivu, RDC) / Kalunguta health zone (DRC)
    OpenStreetMap RDC
    400+ Downloads
    Time Period of the Dataset [?]: September 20, 2021-December 01, 2021 ... More
    Modified [?]: 2 December 2021
    Dataset Added on HDX [?]: 21 September 2021
    Less
    This dataset updates: Every six months
    This dataset is part of the data series [?]: OSM - DRC Health Zones
    Données de base ou d'intérêt pour le secteur de la santé, extraites de la base de données OpenStreetMap et converties suivant le schéma attributaire du Référentiel Géographique Commun de la RDC. Ce dossier reprend actuellement des données en cours de vérification, elles sont donc susceptibles de connaître des modifications fréquentes.
  • Zone de santé Beni (Nord-Kivu, RDC) / Beni health zone (DRC)
    OpenStreetMap RDC
    700+ Downloads
    Time Period of the Dataset [?]: October 23, 2021-November 02, 2021 ... More
    Modified [?]: 3 November 2021
    Dataset Added on HDX [?]: 9 October 2021
    Less
    This dataset updates: As needed
    This dataset is part of the data series [?]: OSM - DRC Health Zones
    Données de base ou d'intérêt pour le secteur de la santé, extraites de la base de données OpenStreetMap et converties suivant le schéma attributaire du Référentiel Géographique Commun de la RDC. Ce dossier reprend actuellement des données en cours de mise à jour, elles sont donc susceptibles de connaître des modifications fréquentes. Elles sont publiées en version provisoire avec l'accord de la zone de santé en raison de la résurgence de la maladie à virus Ebola dans la région.
  • Structures de santé de Goma et Nyiragongo (RDC) / Goma and Nyiragongo health...
    OpenStreetMap RDC
    200+ Downloads
    Time Period of the Dataset [?]: May 27, 2021-May 14, 2025 ... More
    Modified [?]: 28 May 2021
    Dataset Added on HDX [?]: 28 May 2021
    Less
    This dataset updates: As needed
    This dataset is part of the data series [?]: OSM - DRC Health Zones
    Formations sanitaires (FoSa) de la ville de Goma et du territoire de Nyiragongo répertoriées dans OpenStreetMap au 27 mai 2021. Health structures in Goma city and Nyiragongo territory , in the Democratic Republic of the Congo, extracted from the OpenStreetMap database, as of May 27th, 2021.
  • Bangladesh - WASH KAP Survey in Rohingya Cox’s Bazar, November 2019
    UNHCR - The UN Refugee Agency
    50+ Downloads
    Time Period of the Dataset [?]: November 24, 2019-December 19, 2019 ... More
    Modified [?]: 20 August 2020
    Dataset Added on HDX [?]: 7 February 2021
    Less
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - WASH Knowledge, Attitudes and Practices survey
    UNHCR (Cox’s Bazar Field Office) conducted the second round of its WASH Knowledge, Attitude and Practice (KAP) survey from 24th November to 19th December 2019 in UNHCR’s area of operation in Kutupalong and Teknaf. Five WASH partners implemented the survey: NGO Forum, BRAC, OXFAM, Solidarité International and ACF. Preparation began in early November, as UNHCR discussed methodologies with participating agencies. Several meetings focussed on issues such as; staffing for the data collection and financial issues such as ‘per diem’ allowances. Several partner enumerators and their team leaders had no previous experience in KAP surveys, therefore, training modules were developed and implemented by UNHCR WASH staff. The objective of the survey was to better plan and guide future UNHCR WASH interventions implemented through NGO partners.