Temperature
Temperature Anomaly (Scenario A2)
This layer depicts the A2 scenario of the predicted change in median annual temperature (degrees Celsius) by the end of year 2100. Scenario A2 assumes a very heterogeneous world with a continuously increasing global population and a regionally oriented economic growth that is more fragmented and slower than other SRES scenarios. See additional notes below.

Temperature Anomaly (Scenario B1)
This layer depicts the B1 scenario of the predicted change in median annual temperature by the end of the 21st century. Scenario B1 assumes a convergent world with a global population that peaks in mid-century and declines thereafter. It assumes rapid changes in economic structures toward a service and information economy with reductions in material intensity and the introduction of clean and resource-efficient technologies. See additional notes below.

Precipitation
Precipitation Anomaly (Scenario A2)
This layer depicts the A2 scenario of the predicted change in total annual precipitation (in mm) by the end of the year 2100. Scenario A2 assumes a very heterogeneous world with a continously increasing global population and a regionally oriented economic growth that is more fragmented and slower than other SRES scenarios. See additional notes below.

Precipitation Anomaly (Scenario B1)
This layer depicts the B1 scenario of the predicted change in total annual precipitation (in mm) by the end of the year 2100. Scenario B1 assumes a very heterogeneous world with a continously increasing global population and a regionally oriented economic growth that is more fragmented and slower than other SRES scenarios. See additional notes below.

Risk & Vulnerability
Affected Croplands
This layer depicts the spatial distribution of large cropland in the year 2000. Data was derived from agricultural inventory data and satellite imagery as described in Ramankutty et al. (2008), "Farming the planet: 1. Geographic distribution of global agricultural lands in the year 2000", Global Biogeochemical Cycles, Vol. 22, GB1003, doi:10.1029/2007GB002952.

Affected Grasslands
This layer depicts the spatial distribution of grasslands in the year 2000. Data was derived from agricultural inventory data and satellite imagery as described in Ramankutty et al. (2008), "Farming the planet: 1. Geographic distribution of global agricultural lands in the year 2000", Global Biogeochemical Cycles, Vol. 22, GB1003, doi:10.1029/2007GB002952.

Malaria Endemicity
This layer depicts the estimated spatial extent of malaria (Plasmodium falciparum) transmission. Data shows the mean values of malaria parasite rate surveys conducted in 2007. Data was categorized into 0%, 0.1%-10%, 10%-30%, 30%-50%, and greater than 50% parasite rate zones.
Source: Malaria Atlas Project.

East Africa NDVI Anomaly
This layer depicts the Expedited MODIS (eMODIS) mean anomaly of the Normalized Difference Vegetation Index (NVDI) for the period April 21 - 30, 2011 in East Africa. Mean anomaly represents the difference between the mean NDVI values for the 10-day period for the previous 10 years (2001-2010) and the current year (2011) 10-day period. Negative values represent less vegetation while positive values represent more vegetation.
Source: FEWS NET, USGS, USAID.

East Africa Food Prices
This layer depicts the market price data collected by the Famine Early Warning System Network (FEWS NET). Market price data is collected at major markets within each country on a monthly basis.
Source: FEWS NET, USAID.

Flood Hazard
This layer depicts the estimated flood risk derived from a global listing of extreme flood events between 1985 and 2003. Original data was complied by the Dartmouth Flood Observatory, gridded flood risk data was derived by Columbia University Center for Hazards and Risk Research (CHRR) and Columbia University Center for International Earth Science Information Network (CIESIN).
Source: Center for International Earth Science Information Network (CIESIN).

Population Exposure to Drought
This layer depicts the population exposure to drought as calculated by UNEP/GRID-Europe for the Global Assessment Report on Risk Reduction. Physical exposure to drought was weighted by population density equating to how many people per grid cell were exposed to drought per year. Estimate is based on historical drought data for years 1980 - 2001.
Source: UNEP/GRID

Change in Agriculture Yields
This layer depicts the predicted change in yields between 2009 - 2050 of 11 major crops (wheat, rice, maize, millet, field pea, sugar beet, sweet potato, soybean, groundnut, sunflower, and rapeseed). The yields-change values are the mean of three emission scenarios across five global climate models, assuming no CO2 fertilization.

Global Weather Stations
This layer depicts point-locations of weather stations a part of the Global Historical Climatology Network (GHCN). GHCN provides station level, quality controlled, observational datasets for temperature and rainfall values from thousands of weather stations worldwide. GHCN also provides derivative products including monthly and long term historical climatologies. See more information about the GHCN below.

Percent GDP Added by Agriculture
This layer depicts the percentage of GDP value added by agriculture mapped to centroid locations within each country. Data was obtained from the World Development Indicators.
Source: World Development Indicators

Respond to Change
World Bank Agricultural Projects
This layer depicts the locations of all World Bank agricultural based projects currently being implemented. Funding is shown in millions of US dollars.

World Borders
English Labels
This layer depicts international boundaries and country names used by The World Bank. Borders and names used in this layer are used for illustration purposes only do not imply offical endorsement or acceptance by The World Bank.
