HDX
Last updated on July 23, 2019
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  • 1400+ Downloads
    Updated July 23, 2019 | Dataset date: Aug 4, 2018-Jul 21, 2019
    This dataset updates: Every day
    This Ebola epidemic dataset contains figures on the Ebola cases, deaths and cures in the North Kivu Ebola outbreak of August 2018 in the Democratic Republic of the Congo (DRC). The data in the dataset is manually extracted from the Ebola epidemic situation reports issued by the DRC Ministry of Health.
  • Updated July 23, 2019 | Dataset date: May 29, 2019
    This dataset updates: Every day
    Reference historic FX rates quoted by the European Central Bank (ECB) converted to USD base currency. There are two resources - one with USD as the quote currency (more standard x/USD) and another with USD as the base currency (USD/x). Note that where the rate is 0 or NaN, it means that the currency existed in the past but no longer exists.
  • 2100+ Downloads
    Updated July 19, 2019 | Dataset date: Jan 1, 2011-Dec 31, 2018
    This dataset updates: Every year
    Data used to update country toplines in HDX. Contains data from World Bank's data portal.
  • 1000+ Downloads
    Updated July 19, 2019 | Dataset date: Jan 1, 2018-Jan 1, 2019
    This dataset updates: Never
    This dataset contains shapefiles for Guinea, Liberia, and Sierra Leone from the OpenStreetMap (OSM) project. Each country has its individual file. The dataset counts with contributions of hundreds of users. This dataset is updated daily. The original dataset can be downloaded from the OSM West Africa Ebola response wiki.
  • 10+ Downloads
    Updated July 10, 2019 | Dataset date: Dec 31, 2015
    This dataset updates: As needed
    Chad sub-national aggregates, % of population under sever poverty conditions (K > 50%).
  • 60+ Downloads
    Updated July 4, 2019 | Dataset date: Jan 1, 2019
    This dataset updates: Every year
    Global population data, including fertility rate, gender parity in school enrolment, information on sexual and reproductive health, and much more. Together, these data shine a light on the health and rights of people around the world, especially women and young people. The numbers here come from UNFPA and fellow UN agencies, and are updated annually. Full report and dashboard available here: https://www.unfpa.org/swop-2019
  • 400+ Downloads
    Updated July 4, 2019 | Dataset date: May 31, 2019
    This dataset updates: Every month
    Topline figures for the Rohingya Displacement event page
  • 1600+ Downloads
    Updated June 28, 2019 | Dataset date: Nov 11, 2014
    This dataset updates: Every year
    The Global Gender Gap Index seeks to measure one important aspect of gender equality: the relative gaps between women and men, across a large set of countries and across four key areas: health, education, economics and politics. For more information, please visit WEF's website.
  • Updated June 28, 2019 | Dataset date: Jan 1, 2019-Jun 30, 2019
    This dataset updates: As needed
    Food security is expected to deteriorate in parts of northern and central Somalia from February to June 2019. Many northern and central agropastoral and pastoral livelihoods will deteriorate to Crisis (IPC Phase 3) until May/June, when the onset of Gu rainfall leads to improved livestock productivity, livestock births increasing saleable animals, and increased agricultural labor opportunities. In the absence of assistance, food security outcomes are expected to deteriorate to Emergency (IPC Phase 4) in Guban Pastoral livelihood zone and to Crisis (IPC Phase 3) in central Addun Pastoral, Northern Inland Pastoral, East Golis Pastoral of Sanaag, northwestern Hawd Pastoral, Southern Agropastoral of Hiiran and Bay-Bakool Low Potential Agropastoral livelihood zones. More than 1.5 million people will face Crisis or worse (IPC Phase 3 or higher) through June 2019. An additional 3.4 million people are classified as Stressed (IPC Phase 2), which brings the total number of people in Somalia facing acute food insecurity through mid-2019 to 4.9 million. For more visit: ipcinfo.org
  • 20+ Downloads
    Updated June 24, 2019 | Dataset date: Dec 31, 2016
    This dataset updates: As needed
    Myanmar sub-national aggregates, % of population under sever poverty conditions (K > 50%). For more, visit ophi.org.uk
  • 20+ Downloads
    Updated June 24, 2019 | Dataset date: Dec 31, 2011
    This dataset updates: As needed
    Mozambique sub-national aggregates, % of population under sever poverty conditions (K > 50%). For more, visit ophi.org.uk
  • 20+ Downloads
    Updated June 20, 2019 | Dataset date: Dec 31, 2018
    This dataset updates: As needed
    Total number of civilian casualties documented in each of Afghanistan’s 34 provinces, the top three causes of civilian casualties in each province, and the percentage increase or decrease compared to 2017. For more, refer to the report from UNAMA
  • 30+ Downloads
    Updated June 17, 2019 | Dataset date: Dec 31, 2016
    This dataset updates: As needed
    The global Multidimensional Poverty Index (MPI) statistics by sub-national region in Colombia. For more information on the measures, visit https://ophi.org.uk/multidimensional-poverty-index/databank/country-level/.
  • Updated June 13, 2019 | Dataset date: Jan 1, 2013
    This dataset updates: Never
    This Archive contains shapefiles for FEWS NET Food Security Outlook for Southern Africa. It was last updated on January 14, 2013. The classification used is IPC V2.0 Compatible, aimed to address acute food insecurity. The two shapefiles represent the two analytic periods: southernafrica201304_ML1 Most likely food security outcome for January-March 2013 southernafrica201304_ML2 Most likely food security outcome for April-June 2013 Within the shapefiles, the food security outlook is contained in a field named as ML1 or ML2 according to the outlook period. The code itself is the IPC phase. Two additional codes are used: 66 = water 88 = parks, forests, reserves 99 = missing data (usually urban centers)
  • 10+ Downloads
    Updated June 13, 2019 | Dataset date: Jun 1, 2013
    This dataset updates: Never
    This Archive contains shapefiles for FEWS NET Food Security Outlook for Southern Africa. It was last updated on June 14, 2013. The classification used is IPC V2.0 Compatible, aimed to address acute food insecurity. The two shapefiles represent the two analytic periods: southernafrica201304_ML1 Most likely food security outcome for April-June 2013 southernafrica201304_ML2 Most likely food security outcome for July-September 2013 Within the shapefiles, the food security outlook is contained in a field named as ML1 or ML2 according to the outlook period. The code itself is the IPC phase. Two additional codes are used: 66 = water 88 = parks, forests, reserves 99 = missing data (usually urban centers)
  • 30+ Downloads
    Updated June 11, 2019 | Dataset date: Sep 30, 2018
    This dataset updates: As needed
    According to the IPC Acute Food Insecurity analysis update conducted in September 2018, 1.9 million people, corresponding to 40% of the population analyzed, are severely food insecure and in need of urgent action. Specifically, about 550,000 people, corresponding to 13% of the population analyzed, are facing Emergency food insecurity conditions (IPC Phase 4) and about 1,350,000 people, 31% of the population analyzed, are in Crisis (IPC Phase 3). For more information visit: https://bit.ly/2X5AG17.
  • 20+ Downloads
    Updated June 11, 2019 | Dataset date: Dec 31, 2016
    This dataset updates: As needed
    Central African Republic sub-national aggregates, % of population under sever poverty conditions (K > 50%).
  • 20+ Downloads
    Updated June 11, 2019 | Dataset date: Jan 31, 2019
    This dataset updates: As needed
    Democratic Republic of the Congo (DRC): Country refugee response plan
  • 10+ Downloads
    Updated June 11, 2019 | Dataset date: Jul 28, 2018
    This dataset updates: Every year
    The global Multidimensional Poverty Index (MPI) is an international measure of acute poverty covering over 100 developing countries. It complements traditional income-based poverty measures by capturing the severe deprivations that each person faces at the same time with respect to education, health and living standards.
  • 10+ Downloads
    Updated June 7, 2019 | Dataset date: Aug 31, 2018
    This dataset updates: Every year
    About 13.1 million people are estimated to face Crisis (IPC Phase 3) and Emergency (IPC Phase 4) acute food insecurity. This represents 23% of the rural population of 101 territories, out of 145 territories; Areas affected by armed and inter-ethnic / community conflict continue to be the most vulnerable to acute food insecurity. In fact, 9 territories were classified in Emergency (IPC Phase 4). These are the Djugu territories (Ituri); Kalemie, Nyunzu and Manono (Tanganyika); Mitwaba and Pweto (Upper Katanga); Kamonia and Mweka (Kasai); and Miabi (Kasai Oriental). Thirty-one other territories were classified in Crisis (IPC Phase 3) and are scattered across the country, including in stable areas; Several factors are at the root of this overall deterioration in the food insecurity situation observed between June 2017 and June 2018. This is mainly due to the sharp rise in the armed conflict in the country since 2017, particularly in Ituri and South Kivu, and clashes in Tanganyika and Kasai. These conflicts have caused new displacements of populations and further deteriorated household food security. The DRC “Common Narrative for the fight against malnutrition estimates” about 6 million malnourished children and 7.2 million women with anemia confirming the magnitude estimated by the IPC analysis; The number of health areas in alert increased from 7.5% in 2017 to 14% in 2018; Low health coverage for pregnant, breastfeeding women and in particular for children, in addition to a rural economy limited to subsistence ; Nearly 50% of corn production losses due to fall armyworm and other crop pests; General poverty in rural areas limiting financial access to basic services and certain food groups rich in animal protein.
  • 50+ Downloads
    Updated June 5, 2019 | Dataset date: Dec 31, 2014
    This dataset updates: As needed
    Sudan sub-national aggregates, % of population under sever poverty conditions (K > 50%). For more, visit ophi.org.uk
  • 40+ Downloads
    Updated June 5, 2019 | Dataset date: Dec 31, 2016
    This dataset updates: As needed
    Afghanistan sub-national aggregates, % of population under sever poverty conditions (K > 50%). For more, visit ophi.org.uk
  • 60+ Downloads
    Updated May 31, 2019 | Dataset date: Feb 28, 2019
    This dataset updates: As needed
    As of September 2018, 9.8 million people (43.6% of the rural population) were estimated to be in Food Crisis and Emergency (IPC Phase 3 and Phase 4). An estimated 2.6 million are classified in IPC Phase 4 nationwide: these people require urgent action to reduce their food deficits and to protect their livelihoods. The current Phase 3 and 4 estimates correspond to a 17.4% increase (from 26.2% to 43.6%) compared to the previous analysis for the same time period last year (2017). Projections suggest that from November 2018 to February 2019, the total population in IPC Phase 3 and IPC Phase 4 is expected to increase to 10.6 million (47.1% of the rural population). For more visit: ipcinfo.org
  • 70+ Downloads
    Updated May 24, 2019 | Dataset date: Jan 16, 2019
    This dataset updates: Every year
    Humanitarian financing estimates from UNFPA Humanitarian Action Overview reports, 2015-2018. Humanitarian financing estimates are based on joint planning processes (including humanitarian response plans and regional refugee response and resilience plans that involve multiple organizations and stakeholders) and agency-specific (UNFPA) emergency response plans at country level. See full report here: https://www.unfpa.org/humanitarian-action-2019-overview
  • 300+ Downloads
    Updated April 30, 2019 | Dataset date: Jan 1, 2018-Dec 31, 2018
    This dataset updates: Every year
    Herramienta de priorización geográfica del Humanitarian Needs Overview (HNO) 2019. La matriz de necesidades fue construida a partir de indicadores humanitarios sectoriales; priorización según los Equipos Humanitarios Locales (EHL) Geographic disaggregation tool of the Humanitarian Needs Overview (HNO) 2019. The needs matrix was constructed based on sectoral humanitarian indicators; Prioritization according to Local Humanitarian Teams (EHL)