England and Wales
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About this dataset
This dataset provides Census 2021 estimates that classify usual residents in England and Wales by their use of a second address, and whether the second address is inside or outside the UK. The estimates are as at Census Day, 21 March 2021.
National Park data are created by plotting unique properties as identified by their Unique Property Reference Number or postcodes into National Park boundaries current at December 2022. This differs from the OA best fit methodology used for other geographic level data.
Protecting personal data
Sometimes we need to make changes to data if it is possible to identify individuals. This is known as statistical disclosure control. In Census 2021, we:
- Swapped records (targeted record swapping), for example, if a household was likely to be identified in datasets because it has unusual characteristics, we swapped the record with a similar one from a nearby small area. Very unusual households could be swapped with one in a nearby local authority.
- Added small changes to some counts (cell key perturbation), for example, we might change a count of four to a three or a five. This might make small differences between tables depending on how the data are broken down when we applied perturbation.
About the variables
Second address indicator (4 categories)
Description: An address (in or out of the UK) a person stays at for more than 30 days per year that is not their place of usual residence. Second addresses typically include: * armed forces bases * addresses used by people working away from home * a student's home address * the address of another parent or guardian * a holiday home
If a person with a second address was staying there on census night, they were classed as a visitor to the second address but counted as a usual resident at their home address.
Quality information: The true number of people recording a second address as "armed forces base address" is likely to be higher than the estimate because of instructions given to armed forces personnel. Be aware of this when using these data.
Comparability with 2011: Highly comparableRead more...
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