Navigating Demographic Uncertainty: Evaluating the Accuracy of Population Projections in Sweden’s Major Municipalities

Abstract Population projections are essential tools for local government planning. This study examines the accuracy of population projections made by 26 municipalities in Sweden from 2010 to 2022. The findings reveal a mean absolute percentage error (MAPE) of 1.79% after 5 years and 3.29% after 10 years. The mean algebraic percentage error (MALPE), reflecting over- and underestimations, is 0.28% after 5 years and − 2.17% after 10 years. Projections for 0-year-olds have a notably higher error due to difficulties in predicting births, while older age groups generally show improved accuracy except for the 19–24 age group. Births and deaths tend to be overestimated, whereas in- and out-migration are consistently underestimated. These results are generally consistent with previous studies in other countries. They also provide valuable insights for policymakers on expected error margins in population projections, thereby enhancing their utility for local governance. At the same time, the study adds to the literature by evaluating “real” municipal projections based on different local assumptions, examining both total populations and demographic components, and making use of high-quality register data. In addition, Sweden’s dual system—where locally and centrally produced forecasts coexist—offers a rare opportunity to compare institutional approaches, providing insights of broader international relevance for both research and policy.

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Publication Details

Journal
Population Research and Policy Review
Published
2025-11-25
DOI
https://doi.org/10.1007/s11113-025-09983-x
Primary Topic
Insurance, Mortality, Demography, Risk Management
Type
article
Field-Weighted Citation Impact
0.00

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article

Navigating Demographic Uncertainty: Evaluating the Accuracy of Population Projections in Sweden’s Major Municipalities

Jan Amcoff, Thomas Niedomysl, Sophia Phylactou
Population Research and Policy Review
Insurance, Mortality, Demography, Risk Management
article

Navigating Demographic Uncertainty: Evaluating the Accuracy of Population Projections in Sweden’s Major Municipalities

Jan Amcoff, Thomas Niedomysl, Sophia Phylactou
article en

Abstract

Abstract Population projections are essential tools for local government planning. This study examines the accuracy of population projections made by 26 municipalities in Sweden from 2010 to 2022. The findings reveal a mean absolute percentage error (MAPE) of 1.79% after 5 years and 3.29% after 10 years. The mean algebraic percentage error (MALPE), reflecting over- and underestimations, is 0.28% after 5 years and − 2.17% after 10 years. Projections for 0-year-olds have a notably higher error due to difficulties in predicting births, while older age groups generally show improved accuracy except for the 19–24 age group. Births and deaths tend to be overestimated, whereas in- and out-migration are consistently underestimated. These results are generally consistent with previous studies in other countries. They also provide valuable insights for policymakers on expected error margins in population projections, thereby enhancing their utility for local governance. At the same time, the study adds to the literature by evaluating “real” municipal projections based on different local assumptions, examining both total populations and demographic components, and making use of high-quality register data. In addition, Sweden’s dual system—where locally and centrally produced forecasts coexist—offers a rare opportunity to compare institutional approaches, providing insights of broader international relevance for both research and policy.

Population Research and Policy ReviewVol. 44(6)
Uppsala University (SE), Nordregio (SE)
Uppsala Universitet
Openalex Percentile: Top 41%
Insurance, Mortality, Demography, Risk Management
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Navigating Demographic Uncertainty: Evaluating the Accuracy of Population Projections in Sweden’s Major Municipalities — Jan Amcoff, Thomas Niedomysl, et al. · Population Research and Policy Review (2025) | TGRS Research Map | TGRS