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Tenure by NS-SEC - Household Reference Persons

Important 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.

Read more about this quality notice.

Important information:

As Census 2021 was during a unique period of rapid change, take care when using this data for planning purposes.

Read more about this quality notice.

Summary

This dataset provides Census 2021 estimates that classify Household Reference Persons aged 16 years and over in England and Wales by tenure and by NS-SEC. 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.

Lower tier local authorities

Lower tier local authorities provide a range of local services. There are 309 lower tier local authorities in England made up of 181 non-metropolitan districts, 59 unitary authorities, 36 metropolitan districts and 33 London boroughs (including City of London). In Wales there are 22 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

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.

National Statistics Socio-economic Classification (NS-SeC)

The National Statistics Socio-economic Classification (NS-SEC) indicates a person's socio-economic position based on their occupation and other job characteristics.

It is an Office for National Statistics standard classification. NS-SEC categories are assigned based on a person's occupation, whether employed, self-employed, or supervising other employees.

Full-time students are recorded in the "full-time students" category regardless of whether they are economically active.

Variables

Population type
All Household Reference Persons
Area type
Lower tier local authorities
Coverage
England and Wales
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
National Statistics Socio-economic Classification (NS-SeC)
10 Categories
  • L1, L2 and L3: Higher managerial, administrative and professional occupations
  • L4, L5 and L6: Lower managerial, administrative and professional occupations
  • L7: Intermediate occupations
  • L8 and L9: Small employers and own account workers
  • L10 and L11: Lower supervisory and technical occupations
  • L12: Semi-routine occupations
  • L13: Routine occupations
  • L14.1 and L14.2: Never worked and long-term unemployed
  • L15: Full-time students
  • Does not apply
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Contact us

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.

Version history

Dyddiad y datganiad Reason for update
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