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<p>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&#xa0;years and 3.29% after 10&#xa0;years. The mean algebraic percentage error (MALPE), reflecting over- and underestimations, is 0.28% after 5&#xa0;years and − 2.17% after 10&#xa0;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.</p>

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

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年11月25日

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  • Jan Amcoff,
  • Thomas Niedomysl,
  • Sophia Phylactou

摘要

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.