A milk surplus and deficit map can be compared with
maps showing poverty rates and poverty densities in order
to plan more pro-poor dairy interventions.
This map compares potential local milk supply and demand
and shows clear patterns of net milk surplus and deficit.
The map comes from an analysis using geographic information
system (GIS) data coup
This map gives a visual representation of the poverty density:
the number of poor per square kilometer in 2005.
Geography can play a role in determining relative levels
of household well-being, as can be seen in Uganda’s latest
poverty maps (for 2005).
These maps give a visual representation of average livestock
densities in number of animals per square kilometer of
cattle, goats, sheep, pigs, and poultry in subcounties across
Uganda, drawing on
The 11.4 million head of cattle counted in Uganda’s 2008
national livestock census are
not evenly distributed across the districts.
Kotido, Nakapiripirit, and Kaabong are the districts with
This map shows the prevalence of rangeland-based livestock-only systems (tan colors) across the north.
By Janet Ranganathan and Linnea Laestadius on August 2, 2010
Can forest-rich countries learn from the mistakes of extractive projects and avoid unleashing their own resource curse?
Phil René Oyono, Paolo O. Cerutti and Karl Morrison
This working paper documents a study of the Cameroonian forest taxation system, examining the distribution practices of the government.
By Norbert Henninger and Florence Landsberg on October 8, 2009
State of the art GIS maps shed new light on Uganda’s development challenges.
This map shows the percentage of households that cannot afford to use soap, a measure from the census showing the lack of basic necessities.
This map shows the percentage of households relying on open sources of drinking water, such as lakes, streams, etc., and therefore at risk of waterborne diseases attributed to unsafe sources.
This map shows the densities of households without access to improved sanitation in each subcounty.
The more darkly shaded areas have the highest density of households without adequate sanitation,
This map displays the poverty density (the number of poor people per square km) for subcounties that had not achieved Uganda’s interim national rural target of 58 percent improved sanitation coverag
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