England and Wales
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About this dataset
This dataset provides Census 2021 estimates that classify households in parishes in England and Wales by tenure. The estimates are as at Census Day, 21 March 2021. We created this dataset by plotting unique properties as identified by their postcodes or Unique Property Reference Number into parish boundaries current at December 2022. This dataset includes only parishes with a population of at least 50 usual residents and at least 20 households.
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
Tenure (4 categories)
Description: Whether a household owns or rents the accommodation that it occupies.
Owner-occupied accommodation can be: * owned outright, which is where the household owns all of the accommodation * with a mortgage or loan * part-owned on a shared ownership scheme
Rented accommodation can be: * private rented, for example, rented through a private landlord or letting agent * social rented through a local council or housing association
This information is not available for household spaces with no usual residents.
Quality information: There is evidence of people incorrectly identifying their type of landlord as "Council or local authority" or "Housing association". You should add these two categories together when analysing data that uses this variable.
Comparability with 2011: Highly comparableRead more...
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