REACH Initiative
Last updated on November 28, 2019
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  • 10+ Downloads
    Updated November 28, 2019 | Dataset date: Sep 1, 2019
    This dataset updates: Every year
    MCNA conducted at household level nationwide in Iraq. The MCNA covered all conflict-affected populations: in-camp IDP, out-of-camp IDP, returnee and select host populations, in all accessible districts where target population were present. Sampled on district (ADM 2) level and data collected June - August 2019.
  • Updated November 28, 2019 | Dataset date: Sep 1, 2019
    This data is by request only
    MCNA conducted at household level nationwide in Iraq. The MCNA covered all conflict-affected populations: in-camp IDP, out-of-camp IDP, returnee and select host populations, in all accessible districts where target population were present. Sampled on district (ADM 2) level and data collected June - August 2019.
  • 40+ Downloads
    Updated November 26, 2019 | Dataset date: Aug 2, 2019-Sep 22, 2019
    This dataset updates: As needed
    The Hard to Reach (HTR) Assessment was implemented by REACH Initiative in Afghanistan, in coordination with the Inter Cluster Coordination Team (ICCT) in country. The assessment aimed to address the humanitarian information gap on multi-sector needs and vulnerabilities of the population residing in hard-to-reach districts, as identified by the Humanitarian Access Group (HAG). The assessment employed a qualitative methodology of Key Informant Interviews (KIIs) across 100 selected HTR districts, covering 23 provinces. A total 3,114 KIIs were conducted between 2 August and 22 September 2019. As a qualitative methodology based on purposive sampling, findings should be considered indicative only.
  • 200+ Downloads
    Updated March 9, 2018 | Dataset date: Mar 9, 2018
    This dataset updates: Every month
    Satellite imagery derived shelter footprints of Rohingya refugee settlements in Cox's Bazar District, Bangladesh. Based on best available imagery acquired in February 2018.
  • 50+ Downloads
    Updated July 18, 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.
  • 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
  • 200+ Downloads
    Updated March 27, 2019 | Dataset date: Mar 22, 2019
    This dataset updates: As needed
    Beira and Dondo neighbourhood boundaries. Official Beira bairros from INGC.
  • 70+ Downloads
    Updated November 28, 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)
  • 600+ Downloads
    Updated February 28, 2018 | Dataset date: Jan 31, 2018
    This dataset updates: Every month
    On January 2018, partners from the Cox Bazar Health Sector conducted a mapping exercise of the Health Facilities in the refugee camp areas.
  • 1000+ Downloads
    Updated November 30, 2017 | Dataset date: Sep 21, 2017
    This dataset updates: Every month
    Satellite imagery derived shelter footprints of Rohingya refugee settlements in Cox's Bazar District, Bangladesh. Based on best available imagery acquired in September and October 2017.
  • 200+ Downloads
    Updated November 10, 2017 | Dataset date: Oct 26, 2017
    This dataset updates: Every three months
    Satellite and UAV imagery derived roads and footpaths of Rohingya refugee settlements in Cox's Bazar District, Bangladesh. Based on best available imagery acquired in October 2017.
  • 200+ Downloads
    Updated October 9, 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).
  • 2700+ Downloads
    Updated November 17, 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 November 11, 2019 | Dataset date: Oct 7, 2019
    This dataset updates: As needed
    Based on requests from ECHO partners, REACH has worked to compile and map the location of cyclone shelters in Ukhia and Teknaf in the two Upazilas most affected by the Rohingya refugee influx of August 2017, in order to orient and inform humanitarian actors working in these locations. This database includes three lists of shelters: First, a list of shelters as designated on lists provided by the Cox's Bazar District Relief and Rehabilitation Officer (DRRO). Second, a list of cyclone shelters designated by the DRRO with additional structures reported to be shelters according to lists provided by the Cyclone Preparedness Programme (CPP), the District Disaster Managemen Plan (DDMP), Upazila Nirbahi Officers (UNOs), UNDP, IOM, UNHCR, WFP, the Local Government Engineering Department (LGED), and the Comprehensive Disaster Management Programme (CDMP). The third list mirrors the second list but also includes all of alternative names used by different agencies.
  • 200+ Downloads
    Updated October 17, 2019 | Dataset date: Oct 18, 2012
    This dataset updates: Never
    In 2012, REACH, in support of the Libyan Ministry of Education and UNICEF, conducted an assessment of all Libyan schools enabling the collection of comprehensive baseline data on the status of the education sector in Libya following the 2011 uprising. The assessment covered all Libyan schools (4,800 in total) through a comprehensive survey that consisted of 63 items covering 5 dimensions (school information, student and teacher information, WASH facilities, education facilities and materials, protection issues).
  • 200+ Downloads
    Updated April 4, 2018 | Dataset date: Apr 4, 2018
    This dataset updates: Every month
    This dataset includes WASH infrastructure (latrines and handpump tubewell) exposure to flood and landslide hazards. Data is from REACH's Round 4 infrastructure mapping for Kutupalong Refugee Camps. Flood analysis was conducted by IOM/UNHCR and landslide analysis by ADPC/UNHCR. For access to media hyperlink files please contact reach.mapping@impact-initiatives.org or the ISCG in CXB.
  • 100+ Downloads
    Updated July 8, 2018 | Dataset date: Jun 4, 2018-Jun 21, 2018
    This dataset updates: Every year
    The overall objective of the assessment is to inform the response of the Water, Sanitation and Hygiene (WASH) Cluster for the ongoing dry spell in Afghanistan. The assessment aims at supporting the Cluster to better identify target population groups, priority areas and relevant interventions.
  • 600+ Downloads
    Updated February 28, 2017 | 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).
  • Updated October 11, 2019 | Dataset date: Jan 22, 2018-Dec 14, 2018
    This data is by request only
    In 2016, REACH with the support of OFDA conducted the first area based assessment (ABA) in Ukraine focusing on access to basic services for the 100 government controlled cities and villages along the line of contact seperating the government controlled (GCA) and non government controlled areas (NGCA) of the Donetsk and Luhansk oblasts. The assessment found that access to basic services in conflict-affected areas the assessed communities had been severely disrupted due to the disconnection between peripheries of large cities Donbas and the city centers now in non-governmental controlled areas (NGCA). As a result of the seperation between GCA and NGCA, settlements along the line of contact in the GCA have reorganised themselves inward towards government controlled urban centers. The networks of communities that access basic services unit geographies in government controlled areas have adjusted to the reality of a disconnection with non-government controlled cities by accessing all services and markets in reorganizing into new basic service units surrounding cities controlled by the Ukrainian Government. Based on findings from the area based assessment (ABA), this reorganization of basic services units in Donetsk and Luhansk Oblastsbas increases pressure on administrative services, housing, education and health services due to multiple potential factors including: i) the departure of qualified personnel ii) the arrival of conflict-displaced populations iii) and the relocation of of administrative centers. In order to support effective recovery and longer-term development planning it is critical to understand how the conflict has brought new challenges to service delivery in GCA urban centers close to the line of contact, particularly with regards to the new population flows following the effective closure of large urbanized areas in the NGCA. General Objective To understand the gaps and in the provision of basic services (by service providers) and the barriers to accessing basic services (by households) in raions that have been been separated by the contact line in Donetsk and Luhansk oblasts.
  • 200+ 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.
  • Updated October 9, 2019 | Dataset date: Jun 1, 2019-Aug 31, 2019
    This data is by request only
    Primary data will be collected by means of a household-level survey designed with the participation of the humanitarian clusters in Somalia. Cluster leads are asked to outline information gaps and the type of data required to inform their strategic plans. Key indicators are developed by REACH with the substantive input of participating partners, and subsequently validated by the clusters. REACH will draft the household survey tool through an iterative consultation process with cluster partners and OCHA and is aligned, as much as possible, with the Joint Inter-Sectoral Analysis Framework (JIAF) which will serve as a common and structured method for assessing the severity of needs across different clusters. The assessment will use stratified cluster sampling at the district level using settlements as the clusters and households as the unit of measurement. For some districts, 2-stage stratified random sampling will be used instead of stratified cluster sampling for large urban centres, if it proves to be more efficient and logistically feasible for data collection. The sample will be stratified by population group, disaggregated by non-displaced communities, and IDP settlements; the sample will be further stratified by district to ensure coverage and comparison across the entire country (with the exception of inaccessible areas). In the case of cluster sampling, the minimum cluster size will be set to 6 households. The sample size will be adjusted for the design effect and will enable generalisation of the results to each of the two population strata in each district, with a 90% confidence level and a 10% margin of error.
  • 600+ Downloads
    Updated February 28, 2017 | 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 February 28, 2018 | Dataset date: Feb 19, 2018
    This dataset updates: Every month
    On behalf of the Global WASH Cluster, with funding provided by UNICEF, REACH conducted a mapping exercise of Education Facilities in Rohingya refugee settlements in Cox's Bazar District
  • 800+ Downloads
    Updated October 2, 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.
  • 200+ Downloads
    Updated October 18, 2016 | Dataset date: Aug 17, 2016-Sep 19, 2016
    This dataset updates: Every three months
    This dataset provides the clean data from round VI of the Quarterly IDP Camp Profiling exercise in Iraq, conducted in August-September 2016. The exercise was conducted by REACH and the CCCM Cluster Iraq. Findings are based on a total of 4,097 household interviews, and provide statistically representative data about the humanitarian situation and needs of the population of 48 formal IDP camps across Iraq.