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Today the Centre for International Migration has published the following international migration releases; accompanied by a blog, which provides context and a look ahead to what the future holds.
Alongside this research we are also sharing an update on the dynamic population model. This model aims to estimate population in a timely way, to better respond to user needs. This research update is accompanied by a blog around our research and progress in transforming the whole population statistics system.
Below we provide an overview and links for each of the individual publications:
- How world events have led to rising immigration - a blog by Jay Lindop
- Long-term international migration, provisional: year ending June 2022
- Methods to produce provisional long-term international migration estimates
- Powering population statistics with innovation and consistency – a blog by Jen Woolford
- Research update: Dynamic population model
In her blog, Jay Lindop, Deputy Director of the Centre for International Migration, provides context to the migration numbers. She explains how world events have led to rising immigration and examines the impact of these events looking ahead to what the future holds for international migration estimates.
In this release we provide experimental and provisional estimates of UK international migration from year ending June 2020 to year ending June 2022 covering the time period since the easing of COVID-19 travel restrictions and the first full period following the transition from the EU.
In this article we provide an update on the research we have been undertaking through our migration statistics transformation programme to develop admin-based migration estimates (ABMEs), delivering incremental quality improvements and expand the range and granularity of our statistics.
Census results are coming thick and fast but in parallel the Office for National Statistics is full steam ahead with new and established methods to shed light on population change since Census Day. With the census having taken place in unprecedented times of a pandemic, Jen Woolford, Director of Population Statistics, explains how research to transform the whole population statistics system is reaching new milestones while official statistics shed light on times of domestic and global upheaval.
Yesterday we published an update to our research into the new dynamic population model (DPM). We have now produced provisional 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.
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.
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