Research update: Dynamic population model

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Dynamic population model for local authority case studies in England and Wales: 2011 to 2022

23 November 2022

Today we have published an update to our research into the new dynamic population model (DPM). We have now produced population estimates for mid-year 2011 to 2022 covering 14 case study local authorities (LAs). These research outputs are not official statistics on the population. The DPM uses a statistical modelling approach and draws upon a range of data sources. By using these new methods, the DPM estimates for 13 of these LAs showed no more than a 3.6% variation from Census 2021 estimates. 

We have focused our in-depth analysis in this article on two local authorities; Blackpool, for which DPM estimates were very close to Census 2021 estimates, and Cambridge, which had the highest percentage difference to Census 2021 estimates. 

Read the release

The aim of the DPM is to estimate population and population change in a timely way to better respond to user needs. This follows our earlier research to develop DPM estimates for a synthetic local authority. 

We have also published an accompanying blog that gives an update on our work to transform population, migration and social statistics. 

Tomorrow we will publish a progress update on our international migration research alongside experimental and provisional migration estimates, and a blog which provides context to the numbers and a forward look to the coming months. You can sign up to receive updates on our international migration statistics, or keep up to date on population, migration and admin-based statistics transformation by subscribing to our monthly newsletter.

We welcome your feedback on this research and the methodology used to develop the dynamic population model, to inform future developments. Email us your comments and questions and include “Dynamic population model” in the subject line of your response.

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