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  • 300+ Downloads
    Updated July 18, 2019 | Dataset date: Sep 12, 2018
    This dataset updates: Every year
    The Index for Risk Management INFORM is a composite indicator developed by JRC as a tool for understanding the risk of humanitarian crisis and disasters.
  • 10+ Downloads
    Updated July 18, 2019 | Dataset date: Jan 1, 2015-Dec 31, 2018
    This dataset updates: Every year
    The FSVA includes 13 indicators based on a review of data availability at the district level and their ability to measure various aspects of food and nutrition security. The FSVA divides these indicators into two sets: chronic food and nutrition insecurity and transitory food insecurity. Within chronic, indicators measure food availability, food access, and food utilization. The transitory indicators describe climatic and environmental factors that affect food insecurity from an availability and access perspective. The nine indicators that relate to chronic food insecurity are combined into a single composite indicator to describe the overall district food security classification.
  • 200+ Downloads
    Updated December 18, 2018 | Dataset date: Sep 1, 2011-Aug 31, 2014
    This dataset updates: Never
    The dataset includes the provincial level indicators, index scores and caseloads of the need and vulnerability analysis carried out for the Afghanistan 2015 Humanitarian Response Plan. The full methodology and detailed data can be downloaded via the following URL: https://www.humanitarianresponse.info/operations/afghanistan/document/onvi-guidance-note-afghanistan-hrp-2015
  • 700+ Downloads
    Updated September 14, 2018 | Dataset date: Jan 1, 2015-Dec 31, 2015
    This dataset updates: Every year
    The overall INFORM risk index identifies countries at risk from humanitarian crises and disasters that could overwhelm national response capacity. It is made up of three dimensions - hazards and exposure, vulnerability and lack of coping capacity.
  • 800+ Downloads
    Updated August 17, 2017 | Dataset date: Aug 15, 2017
    This dataset updates: Never
    In this analysis we have combined several data sources around the floods in Bangladesh in August 2017. Visualization See attached map for a map visualization of this analysis. See http://bit.ly/2uFezkY for a more interactive visualization in Carto. Situation Currently, in Bangladesh many water level measuring stations measure water levels that are above danger levels. This sets in triggers in motion for the partnership of the 510 Data Intitiative and the Red Cross Climate Centre to get into action. Indicators and sources In the attached map, we combined several sources: Locations of waterlevel stations and their respective excess water levels (cms above danger level) at 14/08/2017 (Source: http://www.ffwc.gov.bd/index.php/googlemap?id=20) Population density in Bangladesh to quickly see where many people live in comaprison to these higher water-level stations. (Source: http://www.worldpop.org.uk/data/summary/?doi=10.5258/SOTON/WP00018 >> the People per hectare 2015 UN-adjusted totals file is used.) Vulnerability Index: we constructed a Vulnerability Index (0-10) based on two sources. First poverty incidence was collected from Worldpop (Source: http://www.worldpop.org.uk/data/summary/?doi=10.5258/SOTON/WP00020 >> The estimated likelihood of living below $2.50/day). Second, we used a Deprivation Index which is estimated in the report Lagging District Reports 2015 (Source: http://www.plancomm.gov.bd/wp-content/uploads/2015/02/15_Lagging-Regions-Study.pdf > Appendices > Table 20), which combines many socio-economic variables into one Deprivation Index through PCA analysis. Detailed methodology Vulnerability The above-mentioned poverty source file is on a raster level. This raster level poverty was transformed to admin-4 level geographic areas (source: https://data.humdata.org/dataset/bangladesh-admin-level-4-boundaries), by taking a population-weighted average. (Source population also Worldpop). The district-level PCA components from abovementioned reports were matched to the geodata based on district names, and thus joined to the admin-4 level areas, which now contain a poverty value as well as Deprivation Index value. Note that all admin-4 areas within one district (admin-2) obviously all have the same value. The poverty rates do differ between all admin-4 areas. Lastly, both variables were transformed to a 0-10 score (linearly), and a geomean was taken to calculate the final index of the two. A geomean (as opposed to an arithmetic mean) is often used in calculating composite risk indices, for example in the widely used INFORM-framework (www.inform-index.org).
  • 700+ Downloads
    Updated July 19, 2017 | Dataset date: Apr 5, 2017
    This dataset updates: Never
    Madagascar, Cyclone Enawo Final Needs Assessment data with disaggregated data related to key vulnerable populations and SADD available. Data collected and put together by the Malagasy Red Cross Society (MRCS)
  • 200+ Downloads
    Updated January 19, 2017 | Dataset date: Jan 1, 2015
    This dataset updates: Every year
    INFORM SUB NATIONAL data for Eastern Africa Region. It contains the Hazards/Exposures, Vulnerbilities and Lack of Coping Capacity of the Greater Horn of Africa Region and the Overal Rick Index. The scale is from 0 - 10
  • 100+ Downloads
    Updated April 19, 2016 | Dataset date: Mar 17, 2015
    This dataset updates: Never
    The Disaster Risk and Age Index 2015 is a pilot initiative by HelpAge International which presents a unique snapshot of the disaster risk faced by older people in 190 countries across the world. It highlights which countries are doing the most to reduce the vulnerabilities and boost the capacities of their older populations in the face of disaster risk.
  • 200+ Downloads
    Updated November 24, 2015 | Dataset date: Jan 1, 2015-Mar 31, 2015
    This dataset updates: Never
    Humanitarian needs assessment conducted in displaced and return areas from January to March 2015