Demystifying Big Data for Demography and Global Health
Combining big data with traditional data can generate richly detailed and valuable analyses for global health professionals, but its use comes with drawbacks.
Combining big data with traditional data can generate richly detailed and valuable analyses for global health professionals, but its use comes with drawbacks.
(2014) Countries around the world are paying more attention to inequality as an indicator of social and economic well-being.
(2011) Together, China and India account for 37 percent of the world’s population. Both countries have conducted censuses over the past year, and when they report their census results, figures such as the widely accepted world population total are at risk of changing.
2008) In the last five years, interest in global health education has surged.
(2002) America has always been a country on the move, and its growing immigrant population has added to that mobility. Yet recently released Census 2000 place-of-birth data show that the native-born population is moving to a different set of states than the traditional immigrant gateways — California, Texas, New York, Florida, Illinois, and New Jersey — that continue to show the largest foreign-born gains.
(2002) The Middle East and North Africa (MENA)* is the most water-scarce region of the world. Home to 6.3 percent of the world's population, the region contains only 1.4 percent of the world's renewable fresh water.