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  • 50+ Downloads
    Updated May 20, 2019 | Dataset date: May 13, 2019
    This dataset updates: Every week
    This dataset contains the data used by the Humanitarian Country Team in Somalia to monitor the evolution of the drought situation in Somalia. The data covers the following topics: Internal displacement by cause (drought related, conflict/insecurity, other cause) River levels in the Shabelle and Juba rivers Water prices by Region Cumulative annual rainfall Disease burden (acute watery diarrhea (AWD)/cholera, bloody diarrhea and measles) Monthly response monitoring by region for the following indicators: CCCM: Number of people benefiting from site improvement projects EDUCATION: Number of children with access to safe drinking water FOOD SECURITY: Number of people reached through activities geared towards improving access to food and safety nets HEALTH: Number of medical consultations NUTRITION: Number of acute malnutrition admissions PROTECTION: Number of girls and boys, women and men participating in community-based psycho-social activities SHELTER: Number of people in need of emergency assistance receiving appropriate NFIs through in-kind distribution, vouchers or cash WASH: Number of people reached with access to sustainable safe water services The sources for the data are as follows: IDP data (PRMN/UNHCR); Rainfall and Rivers (SWALIM); Diseases (Health Cluster/WHO); Monthly Response (Humanitarian Clusters), Water Prices (FAO)
  • 2500+ Downloads
    Updated April 29, 2019 | Dataset date: Sep 1, 2015
    This dataset updates: Never
    This datasets contains a collection of pre-disaster indicators for the Philippines.
  • 10+ Downloads
    Updated March 6, 2019 | Dataset date: Dec 31, 2014
    This dataset updates: Never
    This data shows the relationship between the age of a water point and the functionality of that water point. By showing the changing ratio of functional to non-functional water points over time, it highlights the importance of improving sustainability.
  • 100+ Downloads
    Updated November 14, 2018 | Dataset date: Aug 14, 2018-Oct 2, 2018
    This dataset updates: Every year
    Supported by UNICEF and in collaboration with the Cox's Bazar WASH sector, REACH collected household-level data on key WASH indicators across 33 out of 34 recognised ISCG camps between 14 August and 2 October. Data is representative at camp level at 95 confidence level/10% margin of error, and representative at aggregate level at 95% confidence level/5% margin of error. A total of 3,563 interviews were conducted for this assessment. This file contains the cleaned, anonymised raw dataset. This assessment is a follow-up to an April 2018 baseline, for which the data is available here: https://data.humdata.org/dataset/reach-unicef-wash-household-baseline-survey
  • 10+ Downloads
    Updated November 9, 2018 | Dataset date: Nov 9, 2018
    This dataset updates: Every year
    Series EN_H2O_WBAMBQ: Proportion of bodies of water with good ambient water quality (%) Indicator 6.3.2: Proportion of bodies of water with good ambient water quality Target 6.3: By 2030, improve water quality by reducing pollution, eliminating dumping and minimizing release of hazardous chemicals and materials, halving the proportion of untreated wastewater and substantially increasing recycling and safe reuse globally Goal 6: Ensure availability and sustainable management of water and sanitation for all Release Version: 2018.Q2.G.01
  • 60+ Downloads
    Updated September 10, 2018 | Dataset date: Sep 1, 2018
    This dataset updates: Every year
    Bulletin sur la Production de Biomasse et l’Eau de Surface sur le Sahel, mi-saison d’hivernage 2018. Les données satellitaires utilisées pour cette étude sont issues des mesures provenant depuis 1998 de la série des satellites SPOT-VEGETATION 4 & 5, remplacés en 2014 par PROBA-V. Ces satellites appartiennent au programme de l’agence spatiale européenne ESA. Les données brutes sont traitées et distribuées par l’Institut Flamande pour la recherche Technologique VITO (Belgique) et ensuite analysées à l’aide des outils développés par ACF : BioGenerator et HydroGenerator. BioGenerator permet de quantifier les productions totales annuelles de biomasse végétale, exprimées en kg de matière sèche à l’hectare kg/ha, ainsi que l’anomalie de production en comparaison avec la moyenne calculée sur l’ensemble des années disponibles depuis 1998 sans discontinuité. HydroGenerator permet de suivre statistiquement la présence des points d’eau de surface, et de calculer l’indice d’accessibilité à l’eau de surface et son anomalie par comparaison à la moyenne calculée sur la période 1998 à 2018. Les prévisions des précipitations se base sur les données produites par le CPC (Climate Prediction Center) de la NOAA (National Oceanic and Atmospheric Administration), administration des Etats-Unis d’Amérique. Le CPC donne accessible publiquement au téléchargement une série de prévisions climatiques sur le globe. Les prévisions de précipitations utilisées sont issues d’une combinaison de plusieurs modèles climatiques. Ces prévisions de moyennes mensuelles des précipitations concernent une période de 4 mois suivant la période initiale, ici août 2018.
  • 10+ Downloads
    Updated September 10, 2018 | Dataset date: Dec 29, 2010
    This dataset updates: Never
    This dataset shows the water and sanitation facilities in Mukuru settlements of Nairobi
  • 30+ Downloads
    Updated September 10, 2018 | Dataset date: Dec 30, 2010
    This dataset updates: Never
    This dataset shows the location of water and sanitation facilities in Kibera settlements
  • 10+ Downloads
    Updated September 10, 2018 | Dataset date: Dec 29, 2010
    This dataset updates: Never
    This dataset shows the waterway in Mukuru settlements
  • 20+ Downloads
    Updated September 10, 2018 | Dataset date: Dec 29, 2010
    This dataset updates: Never
    This dataset contains information on water and sanitation facilities in Mathare settlements of Nairobi
  • 70+ Downloads
    Updated September 10, 2018 | Dataset date: Apr 1, 2017
    This dataset updates: Every year
    This dataset contains data of a second national water point mapping in Liberia (2015). The first national water point inventory has been executed in 2013, and in 2017 all water points were mapped again using Akvo Flow: https://akvo.org/products/akvoflow/#overview.
  • 100+ Downloads
    Updated August 16, 2018 | Dataset date: Dec 31, 2009
    This dataset updates: Every year
    Location of wells Cambodia - Water Sanitation Hygiene
  • 100+ Downloads
    Updated August 15, 2018 | Dataset date: Jul 23, 2014
    This dataset updates: Every year
    Sewage treatment plants
  • 90+ Downloads
    Updated August 15, 2018 | Dataset date: Jan 1, 2008
    This dataset updates: Every year
    Sewage outlets into the sea
  • 100+ Downloads
    Updated August 15, 2018 | Dataset date: Jan 1, 2008
    This dataset updates: Every year
    Water wells
  • 100+ Downloads
    Updated August 15, 2018 | Dataset date: Jan 1, 2008
    This dataset updates: Every six months
    Water pumping stations.
  • 90+ Downloads
    Updated August 15, 2018 | Dataset date: Jan 1, 2008
    This dataset updates: Every year
    Solid waste dump sites.
  • 200+ Downloads
    Updated August 15, 2018 | Dataset date: Jul 16, 2012
    This dataset updates: Every year
    Data from Water Information Management System (WIMS) developed by Ministry of Water Resources and Irrigation, South Sudan.
  • 40+ Downloads
    Updated July 31, 2018 | Dataset date: Mar 1, 2018
    This dataset updates: Every three months
    Example of AI powered GIS map from Water and Sanitation project in southern Malawi. More maps and data available upon request from locations globally.
  • 100+ Downloads
    Updated July 30, 2018 | Dataset date: Mar 24, 2014
    This dataset updates: Never
    This dataset was collected as a part of a follow-up monitoring exercise after an initial assessment of Shelter and WASH needs conducted in December 2013. The purpose of this monitoring assessment was to determine the extent of shelter and WASH assistance, namely what has been provided to beneficiaries and to assess whether there were people that had not received assistance. With a focus on measuring recovery trends, the assessment aims to understand whether households are building back better and to understand beneficiary satisfaction with assistance received and awareness of recovery practices. The assessment is also intended to inform identification and targeting of key vulnerable groups. The assessment was conducted by REACH as part of its partnership with the Global Shelter Cluster. In the Philippines, the shelter cluster is led by the Department of Social Welfare and Development (DSWD) and supported by the International Federation of the Red Cross and Red Crescent Societies (IFRC) and the International Organisation for Migration (IOM) as cluster leads. The WASH Cluster Rapid Assessment Team (RAT) provided the assessment with technical and logistical support both remotely and directly in the field in collaboration with the Shelter Cluster.
  • 100+ Downloads
    Updated July 30, 2018 | Dataset date: Dec 30, 2013
    This dataset updates: Never
    Household-level dataset for the Shelter Cluster Needs Assessment Baseline (December 2013) following Typhoon Haiyan in the Philippines.
  • 200+ Downloads
    Updated July 10, 2018 | Dataset date: Sep 30, 2015
    This dataset updates: Never
    Data on Water Sanitation and Hygiene from Lira region of Uganda
  • 200+ Downloads
    Updated June 3, 2018 | Dataset date: Apr 1, 2018-May 22, 2018
    This dataset updates: Every three months
    Supported by UNICEF, REACH collected household-level data on key WASH indicators across all 35 recognised ISCG camps between 1-22 April. Data is representative at camp level at 95 confidence level/10% margin of error, and representative at aggregate level at 95% confidence level/5% margin of error. A total of 3,576 interviews were conducted for this assessment. This file contains the cleaned, anonymised raw dataset.
  • 100+ Downloads
    Updated April 27, 2018 | Dataset date: Mar 11, 2011
    This dataset updates: Never
    This dataset shows the Main source of water for doing laundry in Kenya
  • 100+ Downloads
    Updated April 27, 2018 | Dataset date: Mar 29, 2011
    This dataset updates: Never
    Summary Findings from Majidata project. MajiData is an initiative of the Kenyan Water Sector. The mandate to prepare MajiData was given to the Water Services Trust Fund (WSTF) by its parent ministry: the Ministry of Water and Irrigation (MWI).