Number of non-UK born short-term residents by sex by single year of age

Important information:

Estimates for single year of age between ages 90 and 100+ are less reliable than other ages. Estimation and adjustment at these ages was based on the age range 90+ rather than five-year age bands.

Read more about this quality notice.

Summary

This dataset provides Census 2021 estimates that classify non-UK born short-term residents in England and Wales by sex and by single year of age. The estimates are as at Census Day, 21 March 2021. We have not adjusted these estimates to correct for non-response. Consider this when comparing results with 2011 Census short-term resident estimates.

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.

Regions

Data for the nine regions in England, and Wales as a whole.

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

Age

A person’s age on Census Day, 21 March 2021 in England and Wales. Infants aged under 1 year are classified as 0 years of age.

Sex

This is the sex recorded by the person completing the census. The options were “Female” and “Male”.

Variables

Population type
All non-UK born short-term residents
Area type
Regions
Coverage
England and Wales
Age
86 Categories
  • Aged under 1 year
  • Aged 1 year
  • Aged 2 years
  • Aged 3 years
  • Aged 4 years
  • Aged 5 years
  • Aged 6 years
  • Aged 7 years
  • Aged 8 years
  • Aged 9 years
  • Aged 10 years
  • Aged 11 years
  • Aged 12 years
  • Aged 13 years
  • Aged 14 years
  • Aged 15 years
  • Aged 16 years
  • Aged 17 years
  • Aged 18 years
  • Aged 19 years
  • Aged 20 years
  • Aged 21 years
  • Aged 22 years
  • Aged 23 years
  • Aged 24 years
  • Aged 25 years
  • Aged 26 years
  • Aged 27 years
  • Aged 28 years
  • Aged 29 years
  • Aged 30 years
  • Aged 31 years
  • Aged 32 years
  • Aged 33 years
  • Aged 34 years
  • Aged 35 years
  • Aged 36 years
  • Aged 37 years
  • Aged 38 years
  • Aged 39 years
  • Aged 40 years
  • Aged 41 years
  • Aged 42 years
  • Aged 43 years
  • Aged 44 years
  • Aged 45 years
  • Aged 46 years
  • Aged 47 years
  • Aged 48 years
  • Aged 49 years
  • Aged 50 years
  • Aged 51 years
  • Aged 52 years
  • Aged 53 years
  • Aged 54 years
  • Aged 55 years
  • Aged 56 years
  • Aged 57 years
  • Aged 58 years
  • Aged 59 years
  • Aged 60 years
  • Aged 61 years
  • Aged 62 years
  • Aged 63 years
  • Aged 64 years
  • Aged 65 years
  • Aged 66 years
  • Aged 67 years
  • Aged 68 years
  • Aged 69 years
  • Aged 70 years
  • Aged 71 years
  • Aged 72 years
  • Aged 73 years
  • Aged 74 years
  • Aged 75 years
  • Aged 76 years
  • Aged 77 years
  • Aged 78 years
  • Aged 79 years
  • Aged 80 years
  • Aged 81 years
  • Aged 82 years
  • Aged 83 years
  • Aged 84 years
  • Aged 85 years and over
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Sex
2 Categories
  • Female
  • Male

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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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