This dataset is classified as Public under the Access to Information Classification Policy. Users inside and outside the Bank can access this dataset.

Earth Observation for Climate-related Health Risk in Africa

The EOCHA Data Portal facilitates the access to heterogeneous datasets providing in a one-stop-shop the access services and basic data mining tools necessary to explore geospatial data i.e. in the context of the disease early warning systems. The Portal is based on the Multisensor Evolution Analysis (MEA) technology - an Earth Observation and geospatial data analysis tool empowered with OGC (Open Geospatial Consortium) standards and open source technologies to enable Big Data access and processing services.
Key World Bank sectors can benefit from such climaterelated health risk...


Argentina and Chile - Forest and Land Cover/Land Use Mapping

Land cover, land use, forest mapping, with statistics and fragmentation indicators for Chiloe Island (Chile) and Gran Chaco (Argentina) covering three periods in time (years 2000, 2007 and 2013).
These data are produced under ESA project Support to REDD (Reducing Emissions from Deforestation and Forest Degradation) in Latin America.

This dataset is one of the products produced under the 2014-2016 World Bank (WBG) - European Space Agency (ESA) partnership, and is published in the partnership report: Earth Observation for Sustainable Development, June 2016.


Future of Business Survey - Aggregated Data

The Future of Business survey is a collaboration between Facebook, the OECD and the World Bank to provide timely insights on the perceptions, challenges, and outlook of online Small and Medium Enterprises (SMEs). The Future of Business survey was first launched as a monthly survey in 17 countries in February 2016 and expanded to include 42 countries in 2018. In early 2019 the Future of Business will expand to additional countries and move to a bi-annual cadence.

The target population consists of SMEs that have an active Facebook business Page and include both newer and longer-...

Time Series