The global population cannot be held responsible for the Arabs, a new study, published in the journal Nature communication has claimed. According to United Nations estimates, the current world population is around 8.2 billion and by mid -2010 at a peak of over 10 billion. However, researchers at the University of Aalto in Finland found that these estimates could reduce the rural population figures between 53 percent to 84 percent in the period of study between 1975 and 2010.
PhD scholar Joseaus Lang-Ritter said, “For the first time, our study gives evidence that a significant proportion of rural population can disappear from the dataset of the global population.”
“The results are notable, as these datasets have been used in thousands of studies and support the decision making, yet their accuracy has not been systematically evaluated,” he said.
For studies, researchers analyzed the five most widely used global population datasets (WorldPop, GWP, Grump, Landscan, and GHS-POP), which map the planet in high-resolution grid cells, equally location, with population based on census data.
It said that during the detection of rural population, there were “fundamental boundaries” with a census of the national population. Citing an example, researchers claim that the 2012 census in Paraguay may have been missing a quarter of the population “.
“Remote places are affected by community or conflict and violence in remote places, it is difficult to reach, and those who calculate the census often face resistance to language barriers and participation,” it said.
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Since the study was focused on the map for the period of 1975–2010, due to lack of data from later years, conclusions showed that the 2010 dataset had minimal bias, “was missing between one third (32 percent) of the rural population to three-fourths (77 percent)”.
“While our studies suggest that accuracy has improved to some extent over decades, the trend is clear: global population datasets recall an important part of the rural population. With the same basic practices, it is unlikely, it is unlikely that a little better input data may be correct for prejudice of this level.”
Undercounting of population can have serious effects as governments, international bodies and researchers rely on global population data for resource allocation, infrastructure scheme disease disease epidemiology and disaster risk management.