Topic: poverty

Spatial information – including where different populations live and where natural resources are located – is essential for sound development planning and decision-making. A new website launched today, Virtual Kenya, opens up a wealth of maps and spatial data about the country for citizens and students to use.

The World Bank Group should aim to achieve and measure poverty reduction, not palm oil investments.

A new set of state-of-the art maps will help Uganda target livestock infrastructure investments and reduce poverty.

Power to the People: Investing in Clean Energy for the Base of the Pyramid in India

This report informs investors about the market potential of the clean energy industry serving India’s rural Base of the Pyramid (BoP) market, by looking at its opportunities, challenges, and potential paths to growth.

Mapping a Better Future: Spatial Analysis and Pro-Poor Livestock Strategies in Uganda

This report uses mapping data to examine the spatial relationships between poverty, livestock production systems, the location of livestock services, in order to ensure that government investments in the livestock sector benefit smallholders and high-poverty locations.

WRI’s new report, in collaboration with CDF-IFMR, looks at the market potential for clean and renewable energy in rural India.

The World Resources Institute (WRI) is unveiling today a new set of maps illustrating possible market opportun

To regain momentum on the MDGs, we must recognize the role of healthy ecosystems in successful development.

This working paper sets out a framework to scale up locally-driven solutions to ecosystem decline, climate change and poverty.

Tsetse Distributions, Uganda

It is estimated that some 70 percent of Uganda is infested with 11 species of tsetse, each of which occupies a different ecological niche.

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.

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.