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  • 100+ Downloads
    Time Period of the Dataset [?]: April 12, 2019-April 12, 2019 ... More
    Modified [?]: 12 April 2019
    Dataset Added on HDX [?]: 12 April 2019
    This dataset updates: Never
    Data produced under the ADRF Sub Saharan Africa Risk Profiles project. The project provides also risk data produced, exposure and hazard data used in the analyses.
  • 2500+ Downloads
    Time Period of the Dataset [?]: January 01, 1902-December 31, 2018 ... More
    Modified [?]: 16 January 2023
    Dataset Added on HDX [?]: 16 January 2023
    This dataset updates: Never
    The Global Drought Hazard project is a collection of spatial raster datasets that provide access to statistical extreme value analyses of the Standardised Precipitation Evapotranspiration Index (6-month SPEI) to identify high risk areas on a global scale. The source data are monthly spatial raster datasets from the Climatology and Climate Services Laboratory's Global SPEI Database for the period from January 1902 to December 2018. Each raster dataset has a spatial resolution of about 0.5 degrees, the values of which we converted into time series for each grid cell. These time series are used to model the number of months above selected SPEI thresholds (e.g. SPEI -1.5 or lower) for a range of return periods (e.g. 100 years) via Poisson-Generalized Pareto Point Process models.
  • 100+ Downloads
    Time Period of the Dataset [?]: January 01, 2023-December 31, 2023 ... More
    Modified [?]: 22 January 2024
    Dataset Added on HDX [?]: 26 October 2023
    This dataset updates: Every month
    Monthly Combined Drought Indicator (CDI) as implemented in the East Africa Drought Watch, and which is used for detecting and monitoring areas that either are affected or have the potential to be affected by meteorological, agricultural and/or hydrological drought.
  • 100+ Downloads
    Time Period of the Dataset [?]: January 01, 2022-December 31, 2022 ... More
    Modified [?]: 27 October 2023
    Confirmed [?]: 27 October 2023
    Dataset Added on HDX [?]: 26 October 2023
    This dataset updates: Every week
    Dekadal(10days) Combined Drought Indicator (CDI) as implemented in the East Africa Drought Watch, and which is used for detecting and monitoring areas that either are affected or have the potential to be affected by meteorological, agricultural and/or hydrological drought.
  • 80+ Downloads
    Time Period of the Dataset [?]: January 01, 2022-December 31, 2022 ... More
    Modified [?]: 26 October 2023
    Confirmed [?]: 26 October 2023
    Dataset Added on HDX [?]: 26 October 2023
    This dataset updates: Every month
    Monthly Combined Drought Indicator (CDI) as implemented in the East Africa Drought Watch, and which is used for detecting and monitoring areas that either are affected or have the potential to be affected by meteorological, agricultural and/or hydrological drought.
  • 100+ Downloads
    Time Period of the Dataset [?]: January 01, 2023-December 31, 2023 ... More
    Modified [?]: 22 January 2024
    Dataset Added on HDX [?]: 26 October 2023
    This dataset updates: Every week
    Dekadal(10days) Combined Drought Indicator (CDI) as implemented in the East Africa Drought Watch, and which is used for detecting and monitoring areas that either are affected or have the potential to be affected by meteorological, agricultural and/or hydrological drought.
  • 60+ Downloads
    Time Period of the Dataset [?]: November 22, 2018-November 22, 2018 ... More
    Modified [?]: 16 September 2019
    Dataset Added on HDX [?]: 16 September 2019
    This dataset updates: As needed
    This dataset is part of the data series [?]: OCHA Sudan - ICA Sudan
    This layer contains information about the drought risk - by second-level administrative area - estimated during the Integrated Context Analysis (ICA) run in Sudan in 2018. Data source: HQ VAM Analysis of Chirps Rainfall Estimates (RFE), 1982-2017. The main indicators used for the analysis were the number of poor growing seasons observed in the time window of interest and the inter-annual rainfall variability.
  • 400+ Downloads
    Time Period of the Dataset [?]: July 14, 2017-July 14, 2017 ... More
    Modified [?]: 15 August 2017
    Dataset Added on HDX [?]: 14 July 2017
    This dataset updates: Never
    A crude version of the INFORM risk-framework is applied to Enumeration Areas (which is unofficial, but is deeper than admin-3), in Southern Malawi. This is done specifically for area selection regarding the ECHO2 project in 3 TA's: Mwambo (Zomba district), Makhwira (Chikwawa district) and Ndamera (Nsanje district). Scope Enumeration areas are retrieved from http://www.masdap.mw/layers/geonode%3Aeas_bnd. These are used, because we want to prioritize on a deeper level than Traditional Authority (admin-3) level, and there are no other official boundaries available. The dataset in principle data for the whole of Malawi, but contains 4 filters, which can be applied, which are the following: Filter_south: this filters out only the South of Malawi, for which the drough and flood analysis has been carried out (see details below). Filter_district: contains all EA's from the 3 pre-identified districts Zomba, Chikwawa and Nsanje. Filter_TA: contains all EA's from the 3 pre-identified TAs Mwambo, Makhwira and Ndamera. Filter_GVH: there are also 44 Group Village Heads pre-identified for the project. As these GVH's are points on a map, all EA's are selected here which have a GVH within their boundaries or very close to their boundaries. INFORM risk-framework The INFORM framework (http://www.inform-index.org/) is applied to assess risk per community, which is considered the main criteria for prioritization within the project. Because of low data availability we apply a crude version for now, with only some important indicators of the framework actually used. Since we feel that these indicators (see below) still constitute together a current good assessment of risk, and we want to stimulate the use and acceptance of the INFORM-framework, we choose to use it anyway. The INFORM risk-score consists of 3 main components: hazards, vulnerability and coping capacity. Hazard: For hazard we focus - in line with the ECHO2 project - on floods and droughts only. Analysis has been carried out (see more details below), to determine flood and drought risk on a scale from 0-10 with a resolution of 250meter grid cells. This has subsequently been aggregated to Enumeration Areas, by taking a population-weighted average. Thereby taking into account where people actually live within the Enumeration Areas. (Population data source: Worldpop: http://www.worldpop.org.uk/data/summary/?doi=10.5258/SOTON/WP00155) Vulnerability: Vulnerability is operationalized here through poverty incidence. Poverty rate (living below $1.25/day) is retrieved from Worldpop (http://www.worldpop.org.uk/data/summary/?doi=10.5258/SOTON/WP00157) and again transformed from a 1km resolution grid to Enumeration Areas through a population-weighted average. Lack of Coping capacity: Coping capacity is measured through traveltimes to various facilities, namely traveltime to nearest hospistal, traveltime to nearest trading centre and traveltime to nearest secondary school. Together these are all proxies of being near/far to facilities, and thereby an indicator of having higher/lower coping capacity. See https://510.global/developing-and-field-testing-a-remoteness-indicator-in-malawi/ for more information on how these traveltimes were calculated and validated. Use All features are stored in a CSV, but can easily be joined to the geographic shapefile to make maps on EACODE. Flood and Drought calculations Drought layer The drought risk map was created by analyzing rainfall data in the past 20 years using standard precipitation index (SPI) , which is a widely used index in drought analysis. Based on SPI6 values for the period October-march, which is the main rainy season in Malawi. Each pixel is classified to drought or no drought for each year based on SPI6 values, drought year if SPI value for a pixel is less than -1. Next, relative frequency is calculated, the number of times drought has occurred in the considered 20 year period. This frequency is then converted to probability of drought occurrence in a given year. We validated our analysis by comparing NDVI values for the drought year against long term average values. Flood layer To identify flood moments in Malawi Landsat imagery was studied (1984-2017). Floods were clearly evidenced in 9 dates. For the clearest and most representative layers the mNDWI (modified Normalized Water Index) was calculated. The index mNDWI (McFeeters 1996; Xu 2006) for Landsat bands is calculated as follows: (b2GREEN-b7MIRSWIR/b2GREEN+b7MIRSWIR). In this variation of the index the higher values are the wettest. A threshold was applied to the mNDWI to separate flood from non-flood or water from non-water pixels. The resulting layers were aggregated and the final stretched from 0-10, where 0 are the pixels where no flood is expected while pixels with 10 are where most frequent flood has been evidenced and therefore expected. The largest flood was observed in 2015, as the scenes were cloudy the flood extent was manually interpreted from several scenes. The evidenced flood dates are: 29 Feb. 1988 low flood, 19 march 1989, 17 march 1997, Feb 1998, March 1999 low flood, 2001 since February 16 until end of April, 2007 17 February since early Feb., 2008 Feb. medium flood, 2015 January – March. The water bodies in this layer are not represented and have a value of 0 like the rest of land where flood is absent.
  • 6100+ Downloads
    Time Period of the Dataset [?]: January 01, 2000-October 01, 2023 ... More
    Modified [?]: 19 September 2023
    Confirmed [?]: 1 October 2023
    Dataset Added on HDX [?]: 15 January 2023
    This dataset updates: Every year
    The WorldRiskIndex is a statistical model that provides an assessment of the latent risk of 193 countries falling victim to a humanitarian disaster caused by extreme natural events and the negative impacts of climate change. Based on peer-reviewed concepts of risk, hazard and vulnerability, it is assumed that disaster risks are not solely shaped by the occurrence, intensity, and duration of extreme natural events, but that social factors, political conditions, and economic structures are equally responsible for whether disasters occur in the context of extreme natural events. Accordingly, both main spheres of disaster risk, exposure and vulnerability, are treated as equals. The WorldRiskIndex was initially developed in 2011 by the United Nations University Institute for Environment and Human Security (UNU-EHS) for Bündnis Entwicklung Hilft as a model with 27 indicators to analytically link and relate the two spheres of disaster risks – exposure to natural hazards such as earthquakes, storms or droughts, and societal capacities to respond to these kinds of events. The methodology of the WorldRiskIndex has been continuously revised and developed by the Institute for International Law of Peace and Armed Conflict (IFHV) since 2018. In 2022, a new, fully revised model of the WorldRiskIndex was published, enabling more accurate analyses by incorporating more than 100 high-quality indicators, new data sources, and more robust statistical methods, thus finally replacing the previously used model.
  • 500+ Downloads
    Time Period of the Dataset [?]: December 26, 2023-March 25, 2024 ... More
    Modified [?]: 28 March 2024
    Dataset Added on HDX [?]: 14 September 2022
    This dataset updates: Every week
    Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS) is a 35+ year quasi-global rainfall data set. It is a gridded rainfall time series for trend analysis and seasonal drought monitoring, spans 50°S-50°N (and all longitudes) and ranges from 1981 to near-present. The anomaly refers to the difference between current rainfall and the average rainfall that occurred between 1981 and 2010 in millimeters. For more information visit the CHIRPS site. This dataset contains the latest available CHIRPS anomaly data. The full list of data available is available from USGS for Mar-May data, Oct-Dec data, and others. Additionally, subnational statistics (mean, min, max) have been calculated for Ethiopia, Kenya, and Somalia and are available in the csv resource.
  • 80+ Downloads
    Time Period of the Dataset [?]: January 01, 2017-December 31, 2017 ... More
    Modified [?]: 24 October 2023
    Dataset Added on HDX [?]: 24 October 2023
    This dataset updates: Never
    This dataset is part of the data series [?]: WFP - Integrated Context Analysis ICA
    The ICA is a process of consultations supported by mapped-out data that produces a strategic plan describing where different combinations of programme themes are appropriate to achieve goals of reducing food insecurity and climate related shock risk. The ICA combines multi-year food security trends with natural shock risk data to highlight sub-national areas where different programme strategies make sense. Food security trend maps shows areas where safety nets can address regular food insecurity, and others where shocks make recovery more important. Climate-related natural shock risk maps show where DRR, preparedness and early warning efforts can complement food-security objectives. Atop this core foundation, mapped data on subjects including nutrition, gender, livelihoods and resilience can enrich theme-level strategic planning in which all pieces work together. The full group of ICA partners discuss these analytical results to arrive at strategic programmatic directions.
  • 20+ Downloads
    Time Period of the Dataset [?]: November 22, 2018-November 22, 2018 ... More
    Modified [?]: 16 September 2019
    Dataset Added on HDX [?]: 16 September 2019
    This dataset updates: As needed
    This dataset is part of the data series [?]: OCHA Sudan - ICA Sudan
    This layer contains information about the final categorization resulting from the Integrated Context Analysis (ICA) performed in Sudan in 2018, showing the areas of convergence of high levels of food insecurity recurrence and major propensity to natural shocks (floods and droughts).
  • 30+ Downloads
    Time Period of the Dataset [?]: November 22, 2018-November 22, 2018 ... More
    Modified [?]: 16 September 2019
    Dataset Added on HDX [?]: 16 September 2019
    This dataset updates: As needed
    This dataset is part of the data series [?]: OCHA Sudan - ICA Sudan
    This layer contains information about the natural shock risk (floods and droughts) estimated during the Integrated Context Analysis (ICA) performed in Sudan in 2018. Data sources: UNEP/UNISDR GAR 2013, HQ VAM Analysis of CHIRPS Rainfall Estimates (RFE) 1982-2017.
  • 20+ Downloads
    Time Period of the Dataset [?]: January 01, 2016-December 31, 2016 ... More
    Modified [?]: 24 October 2023
    Dataset Added on HDX [?]: 24 October 2023
    This dataset updates: Never
    This dataset is part of the data series [?]: WFP - Integrated Context Analysis ICA
    The ICA is a process of consultations supported by mapped-out data that produces a strategic plan describing where different combinations of programme themes are appropriate to achieve goals of reducing food insecurity and climate related shock risk. The ICA combines multi-year food security trends with natural shock risk data to highlight sub-national areas where different programme strategies make sense. Food security trend maps shows areas where safety nets can address regular food insecurity, and others where shocks make recovery more important. Climate-related natural shock risk maps show where DRR, preparedness and early warning efforts can complement food-security objectives. Atop this core foundation, mapped data on subjects including nutrition, gender, livelihoods and resilience can enrich theme-level strategic planning in which all pieces work together. The full group of ICA partners discuss these analytical results to arrive at strategic programmatic directions.
  • 30+ Downloads
    Time Period of the Dataset [?]: January 01, 2017-December 31, 2017 ... More
    Modified [?]: 24 October 2023
    Dataset Added on HDX [?]: 24 October 2023
    This dataset updates: Never
    This dataset is part of the data series [?]: WFP - Integrated Context Analysis ICA
    The ICA is a process of consultations supported by mapped-out data that produces a strategic plan describing where different combinations of programme themes are appropriate to achieve goals of reducing food insecurity and climate related shock risk. The ICA combines multi-year food security trends with natural shock risk data to highlight sub-national areas where different programme strategies make sense. Food security trend maps shows areas where safety nets can address regular food insecurity, and others where shocks make recovery more important. Climate-related natural shock risk maps show where DRR, preparedness and early warning efforts can complement food-security objectives. Atop this core foundation, mapped data on subjects including nutrition, gender, livelihoods and resilience can enrich theme-level strategic planning in which all pieces work together. The full group of ICA partners discuss these analytical results to arrive at strategic programmatic directions.
  • 20+ Downloads
    Time Period of the Dataset [?]: January 01, 2015-December 31, 2015 ... More
    Modified [?]: 24 October 2023
    Dataset Added on HDX [?]: 24 October 2023
    This dataset updates: Never
    This dataset is part of the data series [?]: WFP - Integrated Context Analysis ICA
    The ICA is a process of consultations supported by mapped-out data that produces a strategic plan describing where different combinations of programme themes are appropriate to achieve goals of reducing food insecurity and climate related shock risk. The ICA combines multi-year food security trends with natural shock risk data to highlight sub-national areas where different programme strategies make sense. Food security trend maps shows areas where safety nets can address regular food insecurity, and others where shocks make recovery more important. Climate-related natural shock risk maps show where DRR, preparedness and early warning efforts can complement food-security objectives. Atop this core foundation, mapped data on subjects including nutrition, gender, livelihoods and resilience can enrich theme-level strategic planning in which all pieces work together. The full group of ICA partners discuss these analytical results to arrive at strategic programmatic directions.
  • 10+ Downloads
    Time Period of the Dataset [?]: January 01, 2018-December 31, 2018 ... More
    Modified [?]: 24 October 2023
    Dataset Added on HDX [?]: 24 October 2023
    This dataset updates: Never
    This dataset is part of the data series [?]: WFP - Integrated Context Analysis ICA
    The ICA is a process of consultations supported by mapped-out data that produces a strategic plan describing where different combinations of programme themes are appropriate to achieve goals of reducing food insecurity and climate related shock risk. The ICA combines multi-year food security trends with natural shock risk data to highlight sub-national areas where different programme strategies make sense. Food security trend maps shows areas where safety nets can address regular food insecurity, and others where shocks make recovery more important. Climate-related natural shock risk maps show where DRR, preparedness and early warning efforts can complement food-security objectives. Atop this core foundation, mapped data on subjects including nutrition, gender, livelihoods and resilience can enrich theme-level strategic planning in which all pieces work together. The full group of ICA partners discuss these analytical results to arrive at strategic programmatic directions.
  • Time Period of the Dataset [?]: January 01, 2016-December 31, 2016 ... More
    Modified [?]: 24 October 2023
    Dataset Added on HDX [?]: 24 October 2023
    This dataset updates: Never
    This dataset is part of the data series [?]: WFP - Integrated Context Analysis ICA
    The ICA is a process of consultations supported by mapped-out data that produces a strategic plan describing where different combinations of programme themes are appropriate to achieve goals of reducing food insecurity and climate related shock risk. The ICA combines multi-year food security trends with natural shock risk data to highlight sub-national areas where different programme strategies make sense. Food security trend maps shows areas where safety nets can address regular food insecurity, and others where shocks make recovery more important. Climate-related natural shock risk maps show where DRR, preparedness and early warning efforts can complement food-security objectives. Atop this core foundation, mapped data on subjects including nutrition, gender, livelihoods and resilience can enrich theme-level strategic planning in which all pieces work together. The full group of ICA partners discuss these analytical results to arrive at strategic programmatic directions.
  • Time Period of the Dataset [?]: January 01, 2019-December 31, 2019 ... More
    Modified [?]: 24 October 2023
    Dataset Added on HDX [?]: 24 October 2023
    This dataset updates: Never
    This dataset is part of the data series [?]: WFP - Integrated Context Analysis ICA
    The ICA is a process of consultations supported by mapped-out data that produces a strategic plan describing where different combinations of programme themes are appropriate to achieve goals of reducing food insecurity and climate related shock risk. The ICA combines multi-year food security trends with natural shock risk data to highlight sub-national areas where different programme strategies make sense. Food security trend maps shows areas where safety nets can address regular food insecurity, and others where shocks make recovery more important. Climate-related natural shock risk maps show where DRR, preparedness and early warning efforts can complement food-security objectives. Atop this core foundation, mapped data on subjects including nutrition, gender, livelihoods and resilience can enrich theme-level strategic planning in which all pieces work together. The full group of ICA partners discuss these analytical results to arrive at strategic programmatic directions.
  • 20+ Downloads
    Time Period of the Dataset [?]: January 01, 2017-December 31, 2017 ... More
    Modified [?]: 24 October 2023
    Dataset Added on HDX [?]: 24 October 2023
    This dataset updates: Never
    This dataset is part of the data series [?]: WFP - Integrated Context Analysis ICA
    The ICA is a process of consultations supported by mapped-out data that produces a strategic plan describing where different combinations of programme themes are appropriate to achieve goals of reducing food insecurity and climate related shock risk. The ICA combines multi-year food security trends with natural shock risk data to highlight sub-national areas where different programme strategies make sense. Food security trend maps shows areas where safety nets can address regular food insecurity, and others where shocks make recovery more important. Climate-related natural shock risk maps show where DRR, preparedness and early warning efforts can complement food-security objectives. Atop this core foundation, mapped data on subjects including nutrition, gender, livelihoods and resilience can enrich theme-level strategic planning in which all pieces work together. The full group of ICA partners discuss these analytical results to arrive at strategic programmatic directions.
  • 100+ Downloads
    Time Period of the Dataset [?]: August 31, 2021-March 29, 2024 ... More
    Modified [?]: 9 September 2021
    Dataset Added on HDX [?]: 8 September 2021
    This dataset updates: Every month
    This dataset is part of the data series [?]: IRC - Ethiopia Funded Emergency Responses
    The IRC responds to emergencies (drought, floods, disease outbreaks, and conflict displacement) through its dedicated Emergency Rapid Response (ERR) Unit, which was established in 2005. Through two IRC-led multi-sector emergency response mechanisms—the Rapid Response Mechanism (RRM) funded by USAID and the Emergency Response Mechanism (ERM) funded by ECHO— the ERR unit executes coordinated, rapid, and effective responses to emergencies through out Ethiopia immediately as they occur, either directly or through sub-awards other agencies. IRC’s GIS unit created this database to allow for a more sustained approach to producing relevant mapping products and geospatial analysis for regions undergoing emergencies, and will fill gaps in information sharing and management between IRC; Donors (OFDA/USAID, ECHO, & others); and implementing partners during emergency response. IRC’s GIS services provide information and analysis required to monitor the evolution of project / program results and to track project and program impacts across implementing agencies and geographic locations. This dataset contains boundaries of Ethiopian administrative Woredas which are roughly consistent with the actual administrative boundaries for the year 2021.The Woreda boundary contains attribute data (implementing Partners, Situation and Sector Fields) for IRC Ethiopia OFDA Funded Emergency Responses as of 31 August 2021.
  • 200+ Downloads
    Time Period of the Dataset [?]: August 31, 2021-March 29, 2024 ... More
    Modified [?]: 9 September 2021
    Dataset Added on HDX [?]: 8 September 2021
    This dataset updates: Every month
    This dataset is part of the data series [?]: IRC - Ethiopia Funded Emergency Responses
    The IRC responds to emergencies (drought, floods, disease outbreaks, and conflict displacement) through its dedicated Emergency Rapid Response (ERR) Unit, which was established in 2005. Through two IRC-led multi-sector emergency response mechanisms—the Rapid Response Mechanism (RRM) funded by USAID and the Emergency Response Mechanism (ERM) funded by ECHO— the ERR unit executes coordinated, rapid, and effective responses to emergencies through out Ethiopia immediately as they occur, either directly or through sub-awards other agencies. IRC’s GIS unit created this database to allow for a more sustained approach to produces relevant mapping products and geospatial analysis for regions undergoing emergencies, and will fill gaps in information sharing and management between IRC; Donors (OFDA/USAID, ECHO, & others); and implementing partners during emergency response. IRC’s GIS services provide information and analysis required to monitor the evolution of project / program results and to track project and program impacts across implementing agencies and geographic locations. This dataset contains boundaries of Ethiopian administrative Woredas which are roughly consistent with the actual administrative boundaries for the year 2021.The Woreda boundary contains attribute data (implementing Partners, Situation and Sector Fields) for IRC Ethiopia ECHO Funded Emergency Responses as of 31 August 2021.
  • 20+ Downloads
    Time Period of the Dataset [?]: January 01, 2017-December 31, 2017 ... More
    Modified [?]: 24 October 2023
    Dataset Added on HDX [?]: 24 October 2023
    This dataset updates: Never
    This dataset is part of the data series [?]: WFP - Integrated Context Analysis ICA
    The ICA is a process of consultations supported by mapped-out data that produces a strategic plan describing where different combinations of programme themes are appropriate to achieve goals of reducing food insecurity and climate related shock risk. The ICA combines multi-year food security trends with natural shock risk data to highlight sub-national areas where different programme strategies make sense. Food security trend maps shows areas where safety nets can address regular food insecurity, and others where shocks make recovery more important. Climate-related natural shock risk maps show where DRR, preparedness and early warning efforts can complement food-security objectives. Atop this core foundation, mapped data on subjects including nutrition, gender, livelihoods and resilience can enrich theme-level strategic planning in which all pieces work together. The full group of ICA partners discuss these analytical results to arrive at strategic programmatic directions.
  • 10+ Downloads
    Time Period of the Dataset [?]: January 01, 2018-December 31, 2018 ... More
    Modified [?]: 24 October 2023
    Dataset Added on HDX [?]: 24 October 2023
    This dataset updates: Never
    This dataset is part of the data series [?]: WFP - Integrated Context Analysis ICA
    The ICA is a process of consultations supported by mapped-out data that produces a strategic plan describing where different combinations of programme themes are appropriate to achieve goals of reducing food insecurity and climate related shock risk. The ICA combines multi-year food security trends with natural shock risk data to highlight sub-national areas where different programme strategies make sense. Food security trend maps shows areas where safety nets can address regular food insecurity, and others where shocks make recovery more important. Climate-related natural shock risk maps show where DRR, preparedness and early warning efforts can complement food-security objectives. Atop this core foundation, mapped data on subjects including nutrition, gender, livelihoods and resilience can enrich theme-level strategic planning in which all pieces work together. The full group of ICA partners discuss these analytical results to arrive at strategic programmatic directions.
  • Time Period of the Dataset [?]: January 01, 2015-December 31, 2015 ... More
    Modified [?]: 24 October 2023
    Dataset Added on HDX [?]: 24 October 2023
    This dataset updates: Never
    This dataset is part of the data series [?]: WFP - Integrated Context Analysis ICA
    The ICA is a process of consultations supported by mapped-out data that produces a strategic plan describing where different combinations of programme themes are appropriate to achieve goals of reducing food insecurity and climate related shock risk. The ICA combines multi-year food security trends with natural shock risk data to highlight sub-national areas where different programme strategies make sense. Food security trend maps shows areas where safety nets can address regular food insecurity, and others where shocks make recovery more important. Climate-related natural shock risk maps show where DRR, preparedness and early warning efforts can complement food-security objectives. Atop this core foundation, mapped data on subjects including nutrition, gender, livelihoods and resilience can enrich theme-level strategic planning in which all pieces work together. The full group of ICA partners discuss these analytical results to arrive at strategic programmatic directions.