The researchers argue that many datasets used to estimate population sizes undercount the number of people living in rural areas. The study was published in Nature Communications.
In an analysis of five leading global population datasets—WorldPop, GWP, GRUMP, LandScan, and GHS-POP—the team found that these sources may be missing between 53 and 84 percent of the rural population.
For
instance, the most reliable data from 2010 underestimated the rural
population by 32 percent, and in some cases by as much as 77 percent.
The researchers suggest that similar errors may also affect more recent
estimates for 2015 and 2020....<<<Read More>>>...