Can we start counting again? The global population may be much larger than we thought

According to a recent study, it is possible that we have significantly underestimated the size of the global population – particularly in rural areas. If this is indeed the case, the implications would go far beyond statistics, raising serious social and economic questions as well.

Counting the global population has always been one of humanity’s greatest challenges. Censuses, along with various global databases and statistical models, aim to estimate as accurately as possible how many people live on this planet. Based on these, the Earth’s population is currently estimated at around 8.2 billion.

However, a new study suggests that we may not have been counting carefully enough.

The global population and the hidden residents of rural areas

According to Josias Láng-Ritter, a researcher at Aalto University in Finland and the lead author of a study published in Nature Communications, the global databases commonly used to estimate the global population may significantly underrepresent rural populations.

During the research, scientists analysed data from 300 rural dam construction projects across 35 countries, covering the period between 1975 and 2010. These data are particularly valuable because large numbers of people had to be resettled during dam construction. In such cases, the affected populations were counted very precisely, as compensation payments, for example, were directly linked to the number of people involved.

Láng-Ritter explains that these datasets made it possible to compare locally collected, on-the-ground population figures with widely used global databases such as WorldPop, GWP, GRUMP, LandScan and GHS-POP.

The results were surprising: depending on the dataset examined, rural populations were underestimated by between 53 and 84 per cent. This suggests that the global population could be far higher than previously believed.

Why does this matter?

The study does not raise purely theoretical concerns. Census data play a crucial role in the distribution of resources, infrastructure development and social policy decisions. If population figures are consistently underestimated in certain regions – especially in rural areas – the communities living there may be placed at a significant disadvantage.