Modeled 2012 population in Guatemala at a spatial resolution of 100 m2
Inside the World Bank, the number of people passionate about using spatial data for development speaks to the relevance of spatial datasets in supporting critical decision making. In an effort to use spatial data more strategically, we recently conducted an informal poll among several Bank units and some partner institutions to find out what types of spatial data are most relevant to development professionals.
This survey found that the spatial distribution of the population was a key data layer needed by Bank staff. The results of the survey showed that that while national level data are useful, subnational detail on administrative boundaries, trade & transport infrastructure, population distribution and socio-economic data down to the city level are just as critical to the majority of respondents.
In a blog post by Molly Norris and Joshua Powell for the End Poverty in South Asia blog, they talk about Bangladesh as "ground zero" at the intersection of climate change and food security.
"The country is widely recognized as one of the places most vulnerable to the effects of a changing climate, which strains food systems alongside rapidly growing and urbanizing populations. Yet, despite these dual challenges, the World Bank expects Bangladesh will meet its Millennium Development Goal (MDG) of halving the number of people living in extreme poverty by 2015," they write.