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.
A new set of maps illustrating levels of clean drinking water, sanitation facilities, and poverty in Uganda will help guide national development planning.
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
This map displays the poverty rate (the percent of the population below the poverty line) for subcounties that had not achieved Uganda’s interim national rural target of 58 percent improved sanitation
This map highlights the rural subcounties that had not attained the Uganda’s interim national rural target of 58 percent of improved sanitation coverage (HSSP I) in 2002.
This map shows the spatial distribution of improved sanitation coverage data by subcounty.
Planners can use this map to identify areas of progress as well as underachieving locations.
Note: Seven subcounties in Kaabong District, all with safe drinking water coverage below 20 percent, are not shown in this map because reliable poverty estimates were not available for 2005.
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