Tenure by ethnic group - Household Reference Persons

Summary

This dataset provides Census 2021 estimates that classify Household Reference Persons in England and Wales by tenure and by ethnic group. The estimates are as at Census Day, 21 March 2021.

Variable and dataset information

Area type

Census 2021 statistics are published for a number of different geographies. These can be large, for example the whole of England, or small, for example an output area (OA), the lowest level of geography for which statistics are produced.

For higher levels of geography, more detailed statistics can be produced. When a lower level of geography is used, such as output areas (which have a minimum of 100 persons), the statistics produced have less detail. This is to protect the confidentiality of people and ensure that individuals or their characteristics cannot be identified.

Upper tier local authorities

Upper tier local authorities provide a range of local services. There are 152 upper tier local authorities in England made up of 59 unitary authorities, 36 metropolitan districts, 33 London boroughs (including City of London) and 24 counties. In Wales there are 22 upper tier local authorities, made up of 22 unitary authorities.

Coverage

Census 2021 statistics are published for the whole of England and Wales. However, you can choose to filter areas by:

  • country - for example, Wales
  • region - for example, London
  • local authority - for example, Cornwall
  • health area – for example, Clinical Commissioning Group
  • statistical area - for example, MSOA or LSOA

Ethnic group

The ethnic group that the person completing the census feels they belong to. This could be based on their culture, family background, identity or physical appearance.

Respondents could choose one out of 19 tick-box response categories, including write-in response options.

Tenure of household

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.

Important information:
172 out of 174 areas available
Protecting personal data will prevent 2 areas from being published.

How to improve your results

Try one or more of the following steps.

  • Select a larger area type.
  • Select fewer categories in Ethnic group or Tenure of household.
  • Remove variables from this dataset.

Variables

Population type
All Household Reference Persons
Area type
Upper tier local authorities
Coverage
England and Wales
Ethnic group
20 Categories
  • Asian, Asian British or Asian Welsh: Bangladeshi
  • Asian, Asian British or Asian Welsh: Chinese
  • Asian, Asian British or Asian Welsh: Indian
  • Mixed or Multiple ethnic groups: White and Asian
  • Mixed or Multiple ethnic groups: White and Black African
  • Mixed or Multiple ethnic groups: White and Black Caribbean
  • Other ethnic group: Arab
  • Other ethnic group: Any other ethnic group
  • Does not apply
Show all 20 categories
Tenure of household
5 Categories
  • Owned: Owns outright
  • Owned: Owns with a mortgage or loan or shared ownership
  • Rented: Social rented
  • Private rented or lives rent free
  • Does not apply

Get the data

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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

Read more in Section 5 of our article Design for Census 2021.

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