Age (b), country of birth and sex
Summary
This dataset provides 2021 Census estimates that classify all usual residents in England and Wales by age (b), country of birth and sex. 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.
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 (B)
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.
Country of birth
The country in which a person was born.
For people not born in one of the four countries of the UK or the Republic of Ireland, there was an option to select "elsewhere".
People who selected "elsewhere" were asked to write in the current name for their country of birth.
Sex
This is the sex recorded by the person completing the census. The options were “Female” and “Male”.
Variables
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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.
Version history
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