REACH Initiative
Last updated on August 7, 2019
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  • 10+ Downloads
    Updated August 7, 2019 | Dataset date: Apr 9, 2019-Jul 1, 2019
    This dataset updates: As needed
    In early 2019, UNICEF and the Cox's Bazar WASH sector identified a need to comprehensively map key WASH infrastructure using physical unique identifier (UUID) tags, in order to produce a database containing information about each piece of infrastructure across the camps. The objectives of this effort were to facilitate accurate, consistent spatial identification of unique infrastructure by all interested actors, to provide a baseline ‘snapshot’ of WASH infrastructure functionality at the time of coding, and to establish a common dataset to be used by all partners. The core infrastructure being covered by this exercise includes tubewells (complete), latrines, and bathing facilities (both ongoing).
  • 1700+ Downloads
    Updated August 1, 2019 | Dataset date: Aug 20, 2018
    This dataset updates: Every month
    Market Monitoring monthly dataset with Survival Minimum Expenditure Basket (SMEB) prices. To inform humanitarian actors’ cash and voucher programming, REACH and the Cash-Based Responses Technical Working Group (CBR–TWG) conduct monthly monitoring of key markets throughout Syria to assess the availability and affordability of basic commodities (Market Monitoring Exercise).
  • 40+ Downloads
    Updated July 22, 2019 | Dataset date: Jun 30, 2019
    This dataset updates: As needed
    Using 10m resolution multispectral imagery from the Sentinel-2A satellite, a relativized burn ratio (RBR) was calculated and used for burned land classification to assess and quantify areas which have been burned between 4 May and 30 June 2019 in the governorates of Al-Hasakeh, Deir-ez-Zor, Ar-Raqqa, Aleppo, Idleb and Northern Hama. The before and after images are composites ranging from 6 April to 3 May 2019 and 27 to 30 June 2019.
  • 600+ Downloads
    Updated July 19, 2019 | Dataset date: Aug 24, 2018
    This dataset updates: Every month
    Data is collected in 1,664 communities across 105 sub-districts and 7 Governorates throughout Syria. Data collection and analysis take place on a monthly basis, with questionnaires distributed to all participants or enumerators at the beginning of each month. Questionnaires are completed over the course of two to three weeks by contacting Key Informants (KIs) to gather information about their area of knowledge. Once data collection is completed, data is translated, cleaned, and prepared for analysis. Averages for continuous variables are identified, while confidence levels are used for instances where multiple records have been submitted for the same village or neighbourhood. Data collected is triangulated with secondary data from multiple sources. As data collected via KIs, it should be considered only as indicative of the humanitarian situation in the time period assessed.
  • 500+ Downloads
    Updated June 28, 2019 | Dataset date: Nov 30, 2016
    This dataset updates: Never
    Kenya’s commitment to close down Dadaab by mid-2017, the world’s largest refugee camp hosting over 300,000 Somalis, is putting increasing pressure on service delivery and infrastructure in Somalia. By October 2016, an estimate of 31,226 Somali people have returned from Kenya, the majority of which are heading to Kismayo, Baidoa, Luuq and Mogadishu. While the caseload of returnees is expected to continue growing over the coming months, there is no clear understanding of movement patterns of returnees or internally displaced persons which further complicates the attempts by humanitarian organisations to provide for required services. The absence of a CCCM cluster in Somalia means that information on humanitarian needs and gaps has been limited to ad-hoc and un-coordinated assessments. The Kismayo IDP settlement assessment was triggered as a result of the need for a multi-cluster, area-based and coordinated information approach for humanitarian planning and service delivery in informal IDP settlements in Somalia. The Kismayo IDP Settlement Assessment was carried out with financial support from USAID-OFDA and ECHO and in close collaboration with clusters (WASH, Shelter & NFIs, Education, Food Security, Health, Nutrition and Protection).
  • 400+ Downloads
    Updated June 28, 2019 | Dataset date: Nov 30, 2016
    This dataset updates: Never
    Kenya’s commitment to close down Dadaab by mid-2017, the world’s largest refugee camp hosting over 300,000 Somalis, is putting increasing pressure on service delivery and infrastructure in Somalia. By October 2016, an estimate of 31,226 Somali people have returned from Kenya, the majority of which are heading to Kismayo, Baidoa, Luuq and Mogadishu. While the caseload of returnees is expected to continue growing over the coming months, there is no clear understanding of movement patterns of returnees or internally displaced persons which further complicates the attempts by humanitarian organisations to provide for required services. The absence of a CCCM cluster in Somalia means that information on humanitarian needs and gaps has been limited to ad-hoc and un-coordinated assessments. The Kismayo IDP settlement assessment was triggered as a result of the need for a multi-cluster, area-based and coordinated information approach for humanitarian planning and service delivery in informal IDP settlements in Somalia. The Kismayo IDP Settlement Assessment was carried out with financial support from USAID-OFDA and ECHO and in close collaboration with clusters (WASH, Shelter & NFIs, Education, Food Security, Health, Nutrition and Protection).
  • 100+ Downloads
    Updated June 19, 2019 | Dataset date: Aug 1, 2018-Sep 26, 2018
    This dataset updates: Every year
    The overall objective of the Hard to Reach component of the Whole of Afghanistan Assessment was to supplement of the household data collection with an understanding of the multi-sectoral needs faced by those in Hard to Reach areas. This data ought to inform humanitarian programming in these districts and support the identification of nationwide inter-sectoral needs and how they inter-relate across different geographic locations and population groups outlined in the Humaniarian Needs Overview (HNO). The Hard to Reach component of the Whole of Afghanistan (WoA) Assessment utilised Mapping Focus Group Discussions for the mapping process and Key Informant Interviews with knowledgeable community members to identify needs and access constraints. This data complemented the household-level data collection component of the Whole of Afghanistan. The presented dataset here includes the key informant responses across the 70 Hard to Reach districts, conducted to capture inter-sectoral needs of displaced and host households in these areas of Afghanistan.
  • 100+ Downloads
    Updated May 8, 2019 | Dataset date: May 7, 2019
    This dataset updates: As needed
    This shapefile represents digitization work carried out by UNOSAT and REACH from March-May 2019. Work is ongoing and this shapefile is reflective of digitization efforts up to 7 May 2019. As future iterations and improvements to the footprints are made, additional versions will be released. The majority of digitization work was carried out using Januray 2019 NPM-IOM drone imagery. The specific images used are provided in the attribute table. The original classification scheme developed by UNOSAT was comprised of two structure classes: "Structure" and "Bridge." An area based classification was then performed in which all polygons < 5 m2 were reclassified as "< 5m2 - Likely Latrine, Tubewell, or Shower." All polygons > 5 m2 also retained the UNOSATs original classification. Additionally, attribute fields containing camp name information, and the image source information were added. Limitations: The work has not been ground truthed and is based on expert interpretation of UAV imagery. In addition to relying on imagery interpretation, the footprints are bound by the limitations present in the UAV images that were utilized. Credits: UNOSAT- REACH, 2019
  • 40+ Downloads
    Updated April 30, 2019 | Dataset date: Apr 1, 2019-Apr 17, 2019
    This dataset updates: Never
    Data from the Cyclone Idai UNDAC A&A Cell Mozambique Rapid Assessment covering Sofala and Manica provinces in April 2019.
  • 200+ Downloads
    Updated April 4, 2019 | Dataset date: Mar 22, 2019
    This dataset updates: As needed
    Beira and Dondo neighbourhood boundaries. Official Beira bairros from INGC.
  • 100+ Downloads
    Updated March 12, 2019 | Dataset date: Feb 26, 2019
    This dataset updates: As needed
    Since the end of January 2019, southern Idleb and northern Hama governorates have seen a significant escalation of conflict. Shelling and airstrikes intensified in the area, leading to a deterioration of the humanitarian situation. In response, REACH conducted a rapid needs assessment to provide actors with an update on the humanitarian situation. The latest conflict escalation affects an area that is home to an estimated 700,000 residents and internally displaced persons (IDPs), increasing vulnerability, and in some cases, leading to secondary and tertiary displacements. From late 2017, the region has witnessed a large-scale influx of IDPs, following escalations of conflict and displacements from formerly opposition-held areas in south-east Idleb, south-west Aleppo, Rural Damascus, Homs, Hama, Dar’a and Quneitra governorates. The increase in IDP population in Idleb governorate and surrounding areas has led to a growing strain on resources and an increase in inter-communal tensions in the region. Further complicating the situation, there has been increasing concern regarding a potential military offensive in the region since September 2018, with shelling and airstrikes occurring with increased frequency. While the mid-September 2018 announcement of a demilitarised zone put a pause on concerns over an imminent military offensive in the region, clashes have continued unabated. Data for this assessment was collected from 25-26 February 2019 in 85 opposition-controlled communities in 12 sub-districts via community-level key informant (KI) interviews. KIs were asked to report on the previous week (18 to 25 February). This dataset provides the findings for indicators on demographics, shelter, food, livelihoods, electricity & NFIs, WASH, health, education, protection, reported priority needs, and reported movement intentions.
  • 200+ Downloads
    Updated February 19, 2019 | Dataset date: Jan 19, 2019
    This dataset updates: As needed
    GPS coordinates of villages/paras by ward, Union, and Upazila in Ukhia and Teknaf Upazilas, Cox's Bazar District
  • 4600+ Downloads
    Updated January 10, 2019 | Dataset date: Sep 26, 2017-Oct 22, 2018
    This dataset updates: Every month
    On behalf of the Global WASH Cluster, with funding provided by USAID and ECHO (September-December 2017) and UNICEF (January 2018 onwards), REACH initiated a rapid infrastructure mapping exercise in Rohingya refugee settlements in Cox's Bazar District. This data collection exercise is now concluded, with Round 9 the final round.
  • 70+ Downloads
    Updated December 3, 2018 | Dataset date: Aug 14, 2018
    This dataset updates: Every year
    As the conflict in Eastern Ukraine is into its fourth year, ongoing and widespread ceasefire violations along the ‘line of contact’ and the restrictions on movement of people and goods continue to pose significant risks to civilian populations in Donetsk and Luhansk oblasts. 2017 and 2018 saw the conflict intensify, leading to a significant loss of lives, major concerns over the protection of civilians and significant damage to critical infrastructure. Overall, 3.4 million people are in need of humanitarian assistance and protection . It is therefore necessary to update the previous multi-sector needs assessment reports (IAVA, Trend Analysis, Winter Assessment) with a new and relevant data, and further investigate the trends of the changing humanitarian situation on the ground through both secondary data review from other humanitarian actors, as well as primary field collection of data to fill the gaps identified in the humanitarian data available. General Objective To understand and track changes in humanitarian needs of populations living in conflict affected areas in government controlled areas of Ukraine.
  • 50+ Downloads
    Updated November 29, 2018 | Dataset date: Nov 14, 2018-Nov 15, 2018
    This dataset updates: Every year
    Recognizing an information gap within existing road network datasets in the Southern Teknaf camps of Coxs Bazar District (Camps 24-27 and Nayapara Registered Camp), REACH dispached field teams to the area for a roads and paths mapping exercise from November 14-15, 2018. Areas within and on the edges of the camps were divided into grid cells, through which REACH field teams systematically traversed all paths while carrying GPS tracking devices. This dataset was then merged with the existing OpenStreetMap (OSM) roads and paths dataset for the area to provide a comprehensive map of roads and footpaths in and around the camps for mapping and spatial analysis purposes. When present in this dataset, OpenStreetMap attributes and identifiers have been preserved. This exercise was carried out with the support of European Civil Protection and Humanitarian Aid Operations (ECHO)
  • 200+ Downloads
    Updated November 14, 2018 | Dataset date: Sep 3, 2018
    This dataset updates: Every year
    Prolonged drought conditions have contributed to a rapid deterioration of the humanitarian context in Somalia, since early 2016. Caused by four successive seasons of below average rainfall, drought has resulted in substantial livestock herd depletion and a reduction in cereal production, while cereal prices have risen to well above the average, resulting in reduced household access to food and income. Additionally, above average rainfall in the first half of 2018 caused severe flooding across parts of South Central Somalia, and coastal areas in Puntland and Somaliland, causing further waves of displacement and destruction of agricultural land. Parallel to these climatic trends, insecurity and the presence of active armed groups continue to limit humanitarian access, most notably in the South Central region of Somalia. In light of this evolving context, the need for integrated and harmonised information systems to support both immediate and long-term humanitarian response is ever more crucial, particularly through comprehensive assessments and mapping activities. To address these information needs, United Nations Office for the Coordination of Humanitarian Affairs (OCHA), in partnership with REACH conducted a Joint National Multi-Cluster Needs Assessment (JMCNA) across Somalia. Households were sampled for statistical representativeness stratified by internally displaced person (IDP) and host community households at the district level, with a 92% confidence level and a 10% margin of error. More information on the methodology, in the attached methodology note.
  • 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
  • 70+ Downloads
    Updated September 26, 2018 | Dataset date: Jul 10, 2018
    This dataset updates: Every month
    To inform humanitarian actors’ cash and voucher programming, REACH and the Cash-Based Responses Technical Working Group (CBR–TWG) conduct monthly monitoring of key markets throughout Syria to assess the availability and affordability of basic commodities (Market Monitoring Exercise).
  • 200+ Downloads
    Updated September 25, 2018 | Dataset date: Jun 1, 2018
    This dataset updates: Every month
    To inform humanitarian actors’ cash and voucher programming, REACH and the Cash-Based Responses Technical Working Group (CBR–TWG) conduct monthly monitoring of key markets throughout Syria to assess the availability and affordability of basic commodities (Market Monitoring Exercise).
  • 200+ Downloads
    Updated September 13, 2018 | Dataset date: Sep 12, 2018-Sep 20, 2018
    This dataset updates: Every three months
    Idleb governorate and the surrounding opposition-held areas of western Aleppo and north-western Hama governorates* host one of the largest IDP populations in Syria. Since late 2017, following an escalation of violence in north-western and southern Syria, the region has witnessed the further arrival of a substantial number of IDPs. Large cross-line displacements from Eastern Ghouta, northern Homs and southern Hama, as well as Da'ra and Quneitra governorates, beginning in March 2018, have led to a significant increase of the IDP population in the region and to a growing strain on resources and services in the region. While humanitarian assistance is reaching both IDP and resident populations, major gaps remain. In order to address such gaps, REACH has conducted a needs assessment to inform humanitarian actors of IDP and resident populations' priority needs and to address critical information gaps on the humanitarian conditions of IDPs and residents living in communities in the region. This data set provides the findings from this assessment. Findings presented in this data set are based on data collected by REACH as part of a needs assessment focused on IDP and resident populations living in communities of Idleb governorate and surrounding areas. Data was collected in 362 communities across 30 sub-districts between 12 and 20 August 2018. Data was collected at the community level, with enumerators interviewing between 2 and 7 key informants (KIs) per community and with KIs selected based on their knowledge of IDP and resident populations in the community and sector-specific expertise. Communities were assessed based on available data on total populations, focusing on those reported to have large IDP and resident populations and those that have received a high number of IDP arrivals in the two months prior to the start of data collection. Collected primary data was further triangulated through available secondary sources.
  • 100+ Downloads
    Updated September 12, 2018 | Dataset date: Jul 12, 2018-Aug 28, 2018
    This dataset updates: Every year
    The overall objective of the assessment was to inform multi-cluster humanitarian programming for the Afghanistan response by identifying inter-sectoral needs and how they inter-relate across different geographic locations and population groups outlined in the Humaniarian Needs Overview (HNO). The Whole of Afghanistan (WoA) Assessment was based on a mixed methods approach, employing a quantified household-level survey, key informant interviews, and focus group discussions to collect a wide range of data. The presented dataset includes the data from the household-level survey, generalisable at the provincial level for all population groups combined with a 95% confidence level and 5% margin of error, and generalisable at the regional level for each population group individually with a confident level of 95% and margin of error of 5%. This was done to capture inter-sectoral needs of displaced and host households in each province of Afghanistan.
  • 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.
  • 100+ Downloads
    Updated July 22, 2018 | Dataset date: Jul 2, 2018-Jul 12, 2018
    This dataset updates: Every week
    Due to the emergency situation in Southern Syria, REACH and its partners are conducting a Rapid Market Monitoring exercise that will take place on a weekly basis. The first round of data collection was from July 2nd to July 3rd 2018, and a follow up round July 10th to July 11th. In addition to data collection of SMEB components, the dataset also includes information on community supply route dynamics during the rapidly changing situation
  • 100+ Downloads
    Updated July 11, 2018 | Dataset date: Mar 18, 2018-May 3, 2018
    This dataset updates: Every year
    The overall objective of the assessment was to inform humanitarian intervention planning through the identification of key protection-based needs and vulnerabilities of conflict-affected populations, specifically focusing on the impact conflict has on these needs and vulnerabilities.