IDEAS home Printed from https://ideas.repec.org/p/dem/wpaper/wp-2006-026.html
   My bibliography  Save this paper

Stochastic forecast of the population of Poland, 2005 – 2050

Author

Listed:
  • Anna Matysiak

    (Max Planck Institute for Demographic Research, Rostock, Germany)

  • Beata Nowok

    (Max Planck Institute for Demographic Research, Rostock, Germany)

Abstract

Forecasting the population of Poland is very challenging. Firstly, the country has been undergoing rapid demographic changes. In the 1990s, Poland experienced a fundamental shift from a communist regime to a democratic regime and entered the European Union in 2004. The political, economic, and social changes that accompanied the transformation had a profound influence on the demographic patterns in this country. International migration has been one of the first consequences of Poland’s entry into the EU, and it is expected to increase in the future. Secondly, the availability of statistics for Poland on past trends is strongly limited. The resulting high uncertainty of future trends should be dealt with systematically, which is an essential part of the stochastic forecast. In this article, we present to the best of our knowledge a first stochastic forecast of the population of Poland. The forecast constitutes a valuable alternative to considering various scenarios that have been applied so far. The forecast results show that the Polish population will constantly decline during the next decades. There is a probability of 50 % that in 2050 the population will number between 27 and 35 millions compared to 38.2 in 2004. Besides, Poland will face significant ageing as indicated by a rising old-age dependency-ratio. In 45 years, there will be at least 63 persons aged 65+ per 100 persons aged 19-64, and this with a probability of 50 %. A description of the most important limitations to the official Polish demographic statistics and an analysis of past trends in fertility, mortality, and international migration are important by-products of this study.

Suggested Citation

  • Anna Matysiak & Beata Nowok, 2006. "Stochastic forecast of the population of Poland, 2005 – 2050," MPIDR Working Papers WP-2006-026, Max Planck Institute for Demographic Research, Rostock, Germany.
    • Handle: RePEc:dem:wpaper:wp-2006-026
    DOI: 10.4054/MPIDR-WP-2006-026
    as

    Download full text from publisher

    File URL: https://www.demogr.mpg.de/en/publications_databases_6118/publications_1904/journal_articles/stochastic_forecast_of_the_population_of_poland_2005_2050_2754
    Download Restriction: no
    File URL: https://www.demogr.mpg.de/papers/working/wp-2006-026.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.4054/MPIDR-WP-2006-026?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Nico Keilman & Dinh Quang Pham, 2004. "Empirical errors and predicted errors in fertility, mortality and migration forecasts in the European Economic Area," Discussion Papers 386, Statistics Norway, Research Department.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Alho, Juha, 2008. "Aggregation across countries in stochastic population forecasts," International Journal of Forecasting, Elsevier, vol. 24(3), pages 343-353.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Alho, Juha, 2008. "Aggregation across countries in stochastic population forecasts," International Journal of Forecasting, Elsevier, vol. 24(3), pages 343-353.
    2. Hyndman, Rob J. & Booth, Heather, 2008. "Stochastic population forecasts using functional data models for mortality, fertility and migration," International Journal of Forecasting, Elsevier, vol. 24(3), pages 323-342.
    3. Nico Keilman, 2008. "European Demographic Forecasts Have Not Become More Accurate Over the Past 25 Years," Population and Development Review, The Population Council, Inc., vol. 34(1), pages 137-153, March.
    4. Lenny Stoeldraijer & Coen van Duin & Leo van Wissen & Fanny Janssen, 2013. "Impact of different mortality forecasting methods and explicit assumptions on projected future life expectancy: The case of the Netherlands," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 29(13), pages 323-354.
    5. Bailey Fosdick & Adrian E. Raftery, 2014. "Regional probabilistic fertility forecasting by modeling between-country correlations," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 30(35), pages 1011-1034.
    6. Maarten Alders & Nico Keilman & Harri Cruijsen, 2007. "Assumptions for long-term stochastic population forecasts in 18 European countries," European Journal of Population, Springer;European Association for Population Studies, vol. 23(1), pages 33-69, March.
    7. Emily A. Marshall, 2015. "Population Projections and Demographic Knowledge in France and Great Britain in the Postwar Period," Population and Development Review, The Population Council, Inc., vol. 41(2), pages 271-300, June.
    8. Christina Bohk-Ewald & Marcus Ebeling & Roland Rau, 2017. "Lifespan Disparity as an Additional Indicator for Evaluating Mortality Forecasts," Demography, Springer;Population Association of America (PAA), vol. 54(4), pages 1559-1577, August.
    9. Rebecca F. Gleditsch & Adrian F. Rogne & Astri Syse & Michael Thomas, 2021. "The accuracy of Statistics Norway’s national population projections," Discussion Papers 948, Statistics Norway, Research Department.

    More about this item

    Keywords

    Poland; population forecasts;

    JEL classification:

    • J1 - Labor and Demographic Economics - - Demographic Economics
    • Z0 - Other Special Topics - - General

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:dem:wpaper:wp-2006-026. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Peter Wilhelm (email available below). General contact details of provider: https://www.demogr.mpg.de/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.