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IPS153 Jay L. et al.
Once we’ve produced a set of statistics from both approaches, we need to
evaluate the stocks and flows that we have produced and triangulate them to
enable us to produce a coherent set of population and migration statistics.
This is likely to involve the need for a survey to measure and adjust for
coverage patterns seen in the data (we call this a ‘Population Coverage Survey’
(PCS)).
We have updated on our progress about developing a PCS in our previous
publications. As part of our wider survey transformation work, we are looking
at how we can integrate the PCS with the Labour Market Survey and other
residual data requirements into an Integrated Survey Framework. This model
would provide other vital characteristics of the population, which, along with
information from administrative sources, will help us shed light into the impact
of different groups of population on society and the economy.
We will ensure that we develop the hybrid model, described above, to be
as flexible as possible, to enable new sources and methods to be used as they
become available, or as they change over time. This approach also opens up
the potential for providing a longitudinal aspect into better understanding the
dynamics of population change. This could give us the chance to offer more
insights into key policy and research areas, such as the economic outcomes of
international migrants depending on length of stay and age at arrival.

3. Result
As noted above, we have previously produced admin-based estimates of
the size of the population by linking four key data sources . We applied a set
4
of rules to include records into a Statistical Population Dataset (SPD) to
represent the ‘usually resident’ population. Since then, we have shown that
our previous SPD rule of requiring records to appear on at least two of our
four key data sources results in varying coverage patterns for certain age
groups or geographies.
We have now made progress towards a new approach for producing
population stocks and flows using administrative data, by bringing more
sources together to fill gaps in coverage. We have linked immigration,
education, health and income records, and have explored how we can use
these sources to determine the usually resident population of England and
Wales and immigration flows to the UK. This includes developing data driven
rules, based on registrations and ‘signs of activity’ we can identify from each
data source.

4 NHS Patient Register, DWP/HMRC Customer Information System, England and Wales School
Censuses, Higher Education Statistics Agency student data
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