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  • Updated March 26, 2020 | Dataset date: Mar 26, 2020
    This data is by request only
    This data includes responses to Ground Truth Solutions' perception survey conducted in October 2019 with 1511 refugees in Uganda. Both South Sudanese and Congolese refugees who have received aid and support from humanitarian organisations in the last 12 months are included. Surveys were conducted in Adjumani (Nyumanzi, Baratuku, Elema), Bidibidi (Zone 1 and Zone 3), Imvepi (Zone I and Zone II), Kiryandongo (Ranch 1 and Ranch 37), Palorinya (Belemaling, Chinyi, Morobi), Rhino (Zone 2 – Omugo, Zone 3 - Ocea), Kyaka II (Byabakora, Kakoni, Mukondo), Kyangwali (Kirokole, Maratatu A, Maratatu B), Nakivale (Base Camp), and Rwamwanja (Base Camp, Kaihora, Nkoma).
  • Updated February 19, 2020 | Dataset date: Jan 13, 2019-Jan 31, 2019
    This data is by request only
    Dataset of assets in the city of Al Hasakeh comprising of the following sectors of Health, Education, Culture, Energy, Governance, Municipal service, WASH
  • Updated January 16, 2020 | Dataset date: Oct 23, 2019
    This data is by request only
    Caracterización de las necesidades humanitarias multisectoriales de la población afectada por la dinámica de flujos migratorios mixtos de Venezuela en Colombia, específicamente de los migrantes en tránsito peatonal, en términos de necesidades, respuesta y brechas, realizada en los departamentos de Santander y Norte de Santander
  • Updated January 16, 2020 | Dataset date: Oct 23, 2019
    This data is by request only
    Caracterización de las necesidades humanitarias multisectoriales de la población afectada por la dinámica de flujos migratorios mixtos de Venezuela en Colombia, específicamente de los migrantes en tránsito peatonal, en términos de necesidades, respuesta y brechas, realizada en los departamentos de Santander y Norte de Santander
  • Updated December 23, 2019 | Dataset date: Oct 31, 2019
    This data is by request only
    Information collected from partner reporting on who does what where as of 31 October 2019. Upon request only.
  • Updated December 18, 2019 | Dataset date: Jan 1, 2017
    This data is by request only
    The UNHCR Livelihoods Monitoring Framework is designed to promote a standardized approach to tracking program performance and impact across countries. The data and the key analysis is available for UNHCR - and externally - financed programs across three primary focus areas – agriculture, self-employment and wage-employment – in terms of assets, employment, market access and more. For more data and analysis, visit at: Integrated Refugee and Forcibly Displaced Livelihoods Information System
  • Updated December 18, 2019 | Dataset date: Jan 1, 2017
    This data is by request only
    The UNHCR Energy Monitoring Framework is designed to promote a standardized approach to tracking program performance and impact across countries. The data and the key analysis is available for UNHCR - and externally - financed programs across 2 primary focus areas – sustainable fuel and cook stoves, and household and community lighting – in terms of distribution, utilization, maintenance and more. For more data and analysis, visit at: Integrated Refugee and Forcibly Displaced Energy Information System
  • Updated December 16, 2019 | Dataset date: May 1, 2018-Jul 20, 2018
    This data is by request only
    DTM Round 3 was implemented at the northern (Tumbes) and southern borders (Tacna) of the country and at points of affluence in Metropolitan Lima; between May 2018 and June 2018. This had questions related to Profile of Venezuelan migrant, Living conditions in Lima and Callao, Migratory route, Place of transit, Difficulties on the route, Situation in the transit country and others fields
  • 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.
  • Updated November 21, 2019 | Dataset date: Jan 1, 2019
    This data is by request only
    The ACU’s Information Management Unit conducted the 5th version of its annual research “Schools in Syria”, to highlight the impact of the Syrian conflict on the education sector in the Syrian Arab Republic. This is the most representative, nuanced iteration of this study to date, covering 4,016 schools within 78 sub-districts across 6 governorates in all non-governmental areas of the Syrian Arab Republic, building upon 38,538 data e-forms with 34,522 forms on perception surveys with school students, teachers, principals and parents. The research key findings and data represent the time period of February till May 2019 which cover the second semester of the academic year 2018/2019. This report provides a broad view of the current obstacles and most pressing needs of the educational sector, covering a spectrum of issues ranging from facilities to student and teacher life in Syria’s embattled regions. The report consists of 15 sections: Methodology, General Information, Functioning School Buildings, WASH in Schools, School Equipment, School Levels and School Days, Curricula, Certificates, Students, School and Students Needs, Teachers, Disabled Students and Psychosocial Support, Policies and Regulations within Schools, Non-Functional Schools, Priorities and Recommendations. The 5th version of Schools in Syria will be released and published by mid-December 2019.
  • Updated October 23, 2019 | Dataset date: Jul 1, 2019-Sep 30, 2019
    This data is by request only
    The dataset contains the full data collected in the field related to energy access. The assessment used the "Beyond Connection" methodology, developed by ESMAP (World Bank). The full sample is based on 210 interviews at the household level in 68 different communities within the Hebron Governorate. All the households are in Area C. As soon the data are fully analyzed, an open version will be released.
  • Updated October 22, 2019 | Dataset date: Oct 22, 2019
    This data is by request only
    Afghanistan administrative level 0 (country), 1 (province), and 2 (district), and UNAMA region boundary polygon, line, and point shapefiles, KMZ files, geodatabase and gazetteer.
  • Updated October 14, 2019 | Dataset date: May 1, 2016-Oct 31, 2016
    This data is by request only
    Iraq (South and Central) profiling of urban/out of camp IDPs and host populations with data collected between May and October 2016. The exercise covered 9 Governorates with a total sample of 4,094 households (2,126 IDP households and 1,970 local households).
  • Updated October 11, 2019 | Dataset date: Dec 31, 2013
    This data is by request only
    The data files described in this documentation correspond to a household sample survey carried out in three rounds (baseline in 2012, follow up 1 in 2013 and follow up 2 in 2014) with the objective of evaluating the impact of the Uganda Social Assistance Grants for Empowerment (SAGE) programme in 14 pilot districts across the Eastern, Central, Western and Northen districts in Uganda.
  • 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.
  • This dataset contains the number of casualties (death, injured, refugees) caused by the natural disaster in Indonesia during 1815-2018. The data also include the number of infrastructures damaged (house, health, religion, and education facilities). The data is available at district level (Admin 2) and downloadable in MS. Excel (XLS) format: http://bnpb.cloud/dibi/tabel1a
  • Updated October 9, 2019 | Dataset date: Oct 1, 2018
    This data is by request only
    UNICEF is providing technical assistance in ICT4D to implement the learner tracking component of the BTS/SIS strategy, using Ona Data and ODK Collect. Ona Data allows setting up a mobile data collection platform for conducting field surveys capturing photos and GPS points. ODK Collect is an open source Android app that replaces paper forms used in survey-based data collection.
  • The average number of years of education received in a life-time by people aged 15 and older has been used by BPS and UNDP as a proxy to measure the education dimension in Human Development Index (HDI) Report. The number was increased from 8.32 years in 2015 to 8.42 years in 2016 (equivalent to grade 2 of Junior High School-SMP). This data, derived from the National Socio-Economic Survey (SUSENAS March) that published through Indonesia Education Statistics report by BPS. The data is available in MS. Excel (XLS) format: https://www.bps.go.id/dynamictable/2018/06/29/1508/rata-rata-lama-sekolah-penduduk-umur-15-tahun-menurut-provinsi-2015---2016.html while the publication is available: https://www.bps.go.id/publication/2017/12/29/a5f1de9e06a62e333bc7a33c/potret-pendidikan-indonesia-statistik-pendidikan-2017.html
  • 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.
  • This dataset contains the gross enrollment ratio (GER) by province (Admin 1), 2011-2017. The GER is a statistical measure in the education sector to determine the number of students enrolled in several different grade level (elementary (SD/MI), middle school (SMP/MTS) and high school (SMA/SMK)) and use it to show the ratio of the number of students who live in that province to those who qualify for the particular grade level. This data, derived from the National Socio-Economic Survey (SUSENAS) data published by BPS every six months (March and September). The data is available in MS. Excel (XLS) format: https://www.bps.go.id/dynamictable/2015/12/22/1050/angka-partisipasi-kasar-apk-menurut-provinsi-2011-2017.html.
  • Updated September 29, 2019 | Dataset date: Oct 2, 2018
    This data is by request only
    Imagery captured by Digital Globe on 2 October 2018 of Palu, Indonesia. The data is available as a service https://www.arcgis.com/home/item.html?id=d0ff196041e04e0d8d3a09e1e435625d as well as download from Maxar's Open Data site (https://www.digitalglobe.com/ecosystem/open-data/indonesia-earthquake-tsunami).
  • Updated September 11, 2019 | Dataset date: Oct 15, 2017
    This data is by request only
    Terre des hommes (Tdh) is leading a mHealth project in Burkina Faso, digitizing the Integrated Management of Chiildhood Illnesses (IMCI) protocol to improve the quality of care in 600 Primary Healthcare Centers (PHCs) in Burkina Faso. The data set is both a patient registry and a history of consultations for children under 5. All aggregated data is anonymous, and your access to the data set will be conditionned to obtaining an authorization for the Ministry of Health of Burkina Faso. More information here: http://ieda-project.org/
  • Updated September 11, 2019 | Dataset date: May 1, 2017-Jun 30, 2017
    This data is by request only
    Ethiopia DTM Baseline (304 records) and Site Assessment (544 records) data for round 5, which spans May and June of 2017. Data includes demographics and needs of displaced populations in Ethiopia.
  • Updated September 11, 2019 | Dataset date: Sep 22, 2017-Oct 23, 2017
    This data is by request only
    In Peru, according to official sources, between January and September of 2017, in the border crossing CEBAF Tumbes, more than 103,000 Venezuelan were registered entering, of which, more than 64% entered after June. Likewise, in the PCF of Santa Rosa, on the southern border, a total of 47,342 Venezuelan exits to Chile were registered up to October of this year. The current increase in migratory flows imposes the need to carry out an exhaustive monitoring of it in order to promote an orderly migration, safe and in human conditions - hand in hand with the stakeholders-. Thus, there is a need to know a profile of the Venezuelan migrant, the characteristics and dynamics of the migratory route. The DTM Round 1 had questions related to Profile of Venezuelan migrant, Migratory status, Migratory route, Place of transit, Difficulties on the route, Situation in the transit country and others fields.
  • This data is the collection of perception of people affected by earthquake in Nepal. The data is collected in 14 district of Nepal which has more than sixty percent of damage level by earthquake in 2015. The total of 2100 people are surveyed in various VDC of the district.