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  • 100+ Downloads
    Updated October 11, 2019 | Dataset date: Jan 1, 2017
    This dataset updates: Every year
    Administrative boundaries from admin0 (country) to admin4 (village), contains admin code (pcode) using Badan Pusat Statistik (BPS - Statistics Indonesia) standard and Sistem Informasi Administrasi Kependudukan (SIAK - Population Administration Information System) standard from Kemendagri (Ministry of Home Affairs). The data originally available as ArcGIS REST Services from various government GIS portal, accessed through QGIS REST interface. Example workflow: https://issues.qgis.org/projects/qgis/wiki/Arcgis_rest
  • 40+ Downloads
    Updated October 10, 2019 | Dataset date: Oct 18, 2019
    This dataset updates: Every week
    Topline figures dataset for the Central Emergency Response Fund's organisation page
  • 100+ Downloads
    Updated October 10, 2019 | Dataset date: Oct 3, 2019
    This dataset updates: Every year
    This dataset includes international humanitarian assistance per annum by government donor and by recipient country from 2000 to 2018 and 2017 respectively. Figures are calculated by Development Initiatives based on the sources listed in the relevant document and in constant 2017 prices.
  • 700+ Downloads
    Updated October 9, 2019 | Dataset date: Oct 9, 2019
    This dataset updates: Live
    This dataset shows the list of operating health facilities. Attributes included: Name,Nature of Facility, Activities, Lat, Long
  • 900+ Downloads
    Updated October 9, 2019 | Dataset date: Oct 9, 2019
    This dataset updates: Live
    This dataset shows the list of operating health facilities. Attributes included: Name,Nature of Facility, Activities, Lat, Long
  • 400+ Downloads
    Updated October 9, 2019 | Dataset date: Oct 9, 2019
    This dataset updates: Live
    This dataset shows the list of operating health facilities. Attributes included: Name,Nature of Facility, Activities, Lat, Long
  • 200+ Downloads
    Updated October 9, 2019 | Dataset date: Oct 9, 2019
    This dataset updates: Live
    This dataset shows the list of operating health facilities. Attributes included: Name,Nature of Facility, Activities, Lat, Long
  • Updated October 9, 2019 | Dataset date: Oct 9, 2019
    This dataset updates: Live
    This dataset shows the list of operating health facilities. Attributes included: Name,Nature of Facility, Activities, Lat, Long
  • Updated October 9, 2019 | Dataset date: Oct 9, 2019
    This dataset updates: Live
    This dataset shows the list of operating health facilities. Attributes included: Name,Nature of Facility, Activities, Lat, Long
  • Updated October 9, 2019 | Dataset date: Oct 9, 2019
    This dataset updates: Live
    This dataset shows the list of operating health facilities. Attributes included: Name,Nature of Facility, Activities, Lat, Long
  • Updated October 9, 2019 | Dataset date: Oct 9, 2019
    This dataset updates: Live
    This dataset shows the list of operating health facilities. Attributes included: Name,Nature of Facility, Activities, Lat, Long
  • Updated October 9, 2019 | Dataset date: Oct 9, 2019
    This dataset updates: Live
    This dataset shows the list of operating health facilities. Attributes included: Name,Nature of Facility, Activities, Lat, Long
  • 100+ Downloads
    Updated October 9, 2019 | Dataset date: Dec 15, 2017
    This dataset updates: Every three months
    Ce jeu de données est le produit intérieur brut par branche d'activité au Sénégal de 2014 à 2019.
  • 100+ Downloads
    Updated October 9, 2019 | Dataset date: Jan 1, 2015-Sep 30, 2019
    This dataset updates: Every three months
    Ce jeu de données est relatif aux indicateurs sur le marché du travail au Sénégal
  • 300+ Downloads
    Updated October 9, 2019 | Dataset date: Jan 1, 2019-Sep 30, 2019
    This dataset updates: Every month
    The INFORM Global Crisis Severity Index (GCSI) is a regularly updated, and easily interpreted model for measuring the severity of humanitarian crisis globally. It is a composite index, which brings together 31 core indicators, organised in three dimensions: impact, conditions of affected people, and complexity. All the indicators are scored on a scale of 1 to 5. These scores are then aggregated into components, the three dimensions (Impact, Conditions, Complexity), and the overall severity category based on the analytical framework. The three dimensions have been weighted according to their contribution to severity: impact of the crisis (20%); conditions of affected people (50%); complexity (30%). The weightings are currently a best estimate and will be refined using expert analysis and statistical methods. Each crisis will fall into 1 of 5 categories based on their score ranging from very low to high. ACAPS – an INFORM technical partner – is responsible for collection, cleaning, analysis and input of data into the model and the production of the final results. Read more on the GCSI methodology here: https://www.acaps.org/methodology/severity
  • 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.
  • 100+ 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).
  • 10+ Downloads
    Updated October 9, 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.
  • 1000+ Downloads
    Updated October 9, 2019 | Dataset date: Sep 1, 2016-Apr 1, 2018
    This dataset updates: Every six months
    The Future of Business survey is a collaboration between Facebook, the OECD and the World Bank to provide timely insights on the perceptions, challenges, and outlook of online Small and Medium Enterprises (SMEs). The Future of Business survey was first launched as a monthly survey in 17 countries in February 2016 and expanded to 42 countries in 2018. In 2019, the Future of Business survey increased coverage to 97 countries and moved to a bi-annual cadence. The target population consists of SMEs that have an active Facebook business Page and include both newer and longer-standing businesses, spanning across a variety of sectors. To date, more than 90 million SMEs have created a Facebook Page, and more than 700,000 of these Facebook Page owners have taken the survey. With more businesses leveraging online tools each day, the survey provides a lens into a new mobilized, digital economy and, in particular, insights on the actors: a relatively unmeasured community worthy of deeper consideration and considerable policy interest. The survey includes questions about perceptions of current and future economic activity, challenges, business characteristics and strategy. Custom modules include questions related to regulation, access to finance, digital payments, and digital skills. The full questionnaire is available for download. This dataset contains survey response data aggregated by country and wave. Future of Business Survey website: futureofbusinesssurvey.org
  • 900+ Downloads
    Updated October 8, 2019 | Dataset date: Jul 17, 2019
    This dataset updates: As needed
    Since 2018, Who and the Ministry of Health have been deployed for the Ebola response in North Kivu and Ituri provinces . WHO is supporting the National Health Information System Division (DSNIS) to update the healthcare pyramid (health zone, area and structure) and other spatial information such as road, building, school) on and with OpenStreetMap community. To carry out this work, the methodology was decided with local cartographers and together we were able to improve the data locally.
  • Updated October 8, 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 households level in 68 different communities within the Hebron Governorate. As soon the data will be fully analyzed, an open version will be released.
  • Updated October 8, 2019 | Dataset date: Nov 15, 2017-Apr 6, 2018
    This dataset updates: Never
    This is data from a quasi-experimental prospective cohort study examining the impact of CVA on prevention of acute malnutrition among pregnant and lactating women and children under five years in 2017/18 in the context of the Somalia food crisis. Dataset contains min. underlying data for two forthcoming manuscripts.