A study on methods for population prediction involving future uncertainty

Future uncertainty means that future results or phenomena cannot be accurately predicted.Since deterministic population projection based on such future uncertainty has clear limitations, so many advanced population research institutes and international organizations have emphasized the importance of probabilistic population prediction.It also presents probabilistic predictions in the research areas of climate, process, precipitation, and weather.However, the KOSTAT and various organizations in korea are only in scenario-based deterministic population projection, and only the need for probabilistic population prediction is raised.Therefore, this paper points out that when future uncertainties exist, the limitations and problems of decisive population projection should be examined, and the future population should be examined with probabilistic population prediction, and the results are presented.As a result of the analysis, in terms of the probabilistic confidence interval (5th quartile, 95th quartile), 5,106 to 51.2 million people in 2025, 5,053 to 5,082 million in 2030, 4,829 to 4,8 million in 2040, 4,425 to 45,5 million in 2050, and the last forecast, in 2062, the number below 40 million, is expected to be 37.33 to 33.3 million, and the rapid population deceleration over 33 years was the biggest factor rapidly decline in the fertility rate.

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Publication Details

Journal
Korean Journal of Applied Statistics
Published
2024-12-27
DOI
https://doi.org/10.5351/kjas.2024.37.6.801
Primary Topic
Insurance, Mortality, Demography, Risk Management
Type
article
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article

A study on methods for population prediction involving future uncertainty

Jinho Oh
Korean Journal of Applied Statistics
Insurance, Mortality, Demography, Risk Management
article

A study on methods for population prediction involving future uncertainty

Jinho Oh
article en

Abstract

Future uncertainty means that future results or phenomena cannot be accurately predicted.Since deterministic population projection based on such future uncertainty has clear limitations, so many advanced population research institutes and international organizations have emphasized the importance of probabilistic population prediction.It also presents probabilistic predictions in the research areas of climate, process, precipitation, and weather.However, the KOSTAT and various organizations in korea are only in scenario-based deterministic population projection, and only the need for probabilistic population prediction is raised.Therefore, this paper points out that when future uncertainties exist, the limitations and problems of decisive population projection should be examined, and the future population should be examined with probabilistic population prediction, and the results are presented.As a result of the analysis, in terms of the probabilistic confidence interval (5th quartile, 95th quartile), 5,106 to 51.2 million people in 2025, 5,053 to 5,082 million in 2030, 4,829 to 4,8 million in 2040, 4,425 to 45,5 million in 2050, and the last forecast, in 2062, the number below 40 million, is expected to be 37.33 to 33.3 million, and the rapid population deceleration over 33 years was the biggest factor rapidly decline in the fertility rate.

Korean Journal of Applied StatisticsVol. 37(6)
Hanbat National University (KR)
Openalex Percentile: Top 53%
Insurance, Mortality, Demography, Risk Management
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A study on methods for population prediction involving future uncertainty — Jinho Oh · Korean Journal of Applied Statistics (2024) | TGRS Research Map | TGRS