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The Global IMWG Data Sub-group and OCHA-FIS will be working in 2018-2019 to further develop the guidance on country-specific CODs. Please contact FIS if you have suggestions, material or questions.

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Dataset types
Conflict type emergency 
Drought type emergency





Crisis specific 

Shapefile of areas which are not accessible/active conflict zone / Number of square KMs in recent conflict areas that are unsafe to access due to mine contamination / ERWs (UN Missions)

Livestock conditions/drought related # of animal deaths (sheep, cows, goats etc)

Number of children associated with armed forces or armed groups (UNICEF)Livestock disease situation
Roadblocks/checkpoints (UN Missions)Water points or sources/water availability for domestic use

Cultivated land / crop condition (available through WFP) and  FEWSNET 

Normalized Difference Vegetation Index (NDVI) 1

Food Commodity prices

Average rainfall in the country.  Flood forecasting  Global Flood Awareness System and crop monitoring FEWSNET 

Famine Early Warning Systems Network (FEWSnet data)
Transport

    Road Networksxx
    Bridgesxnot a priority
    Railwaysxnot a priority
    Aerodromes (airports, airfields, HLZsxx
    Seaportsif relevantif relevant
Hydrologynot a priorityx
Elevation modelxnot a priority
Building/housing typexx
Educational facilitiesxx
Health facilitiesxx
Multidimensional Poverty Index (MPI) 2xx
Integrated Food Security Phase (IPC)x

IPC website and Explore IPC data on HDX 

Refugee displacement, movement, camps if relevantif relevant
Operational presence of partnersxx
Spontaneous settlementsxx
Nutrition outreach centresxx
Telecommunication locations (e.g. towers)xx
Infrastructure 3xx
Disease profilexx
Marketsxx
Clean water access pointsxx
Urban environment (neighbourhoods, etc)x
Oil Refineries (if relevant)x

1 NDVI (normalized difference vegetation index: an indicator to assess whether the target being observed contains live green vegetation or not)

2 Multidimensional Poverty Index (MPI): estimates of the proportion of people per grid square living in poverty. This dataset is available for some countries through WorldPop project

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