La población mundial podría ser mucho mayor de lo estimado: Un estudio revela 1,000 millones de personas no contabilizadas

The world's population could be much larger than estimated: A study reveals 1 billion uncounted people

A recent study has called into question official figures on the world's population, suggesting that up to 1 billion people in rural areas have not been counted in official censuses. If this hypothesis is correct, the current global population would exceed 9 billion, a figure significantly higher than the current United Nations estimate.


The study points out that traditional population counting methods have limitations in rural areas and isolated communities, where census infrastructure is poor or nonexistent. Many regions lack adequate records, meaning that millions of people could be living outside official demographic statistics systems.


This finding could have significant implications for public policy planning, resource allocation, and decision-making at a global level. Such a large underreporting would affect the estimation of needs in key areas such as health, education, and food security, potentially exacerbating problems like poverty and lack of access to basic services.


Furthermore, the study suggests that many of these uncounted individuals live in conditions of extreme vulnerability, with limited access to clean water, healthcare, and economic opportunities. If governments and international organizations fail to address this issue, they could be leaving a significant portion of the world's population behind in efforts to eradicate poverty and improve quality of life.


To address this underreporting, experts recommend using advanced technologies, such as satellite imagery, artificial intelligence, and mobile phone data, to improve census accuracy and reach previously inaccessible communities. Accurate population identification is crucial to ensuring that no one is excluded from development and humanitarian aid programs.


While the exact figures are still under debate, this study highlights the importance of updating data collection methods and recognizing populations that are invisible in official statistics.

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