Mnemonic: hh_veterans
Applicability: Household
Type: Derived variable

Definition

Number of people in the household who have previously served in the UK armed forces. This includes those who have served for at least one day in armed forces, either regular, reserves or Merchant Mariners who have seen duty on legally defined military operations.

Classification

Total number of categories: 5

Code Name
0 No people in the household previously served in UK armed forces
1 1 person in the household previously served in UK armed forces
2 2 people in the household previously served in UK armed forces
3 3 or more people in the household previously served in UK armed forces
-8 Does not apply*

*Households with no usual residents.

View all number of people in household who previously served in UK armed forces classifications.

Quality information

Take care when comparing characteristics of UK armed forces veterans and non-veterans, as veterans are mainly male and older. Not adjusting for this fact can lead to misinterpretation, as variables such as health strongly relate to age and sex.

Read more in our UK armed forces veterans quality information for Census 2021 methodology.

Background

Read about how we developed and tested the questions for Census 2021.

Comparability with the 2011 Census

Not comparable

This variable is new for Census 2021 and there is no comparability with the 2011 Census.

What does not comparable mean?

A variable that is not comparable means that it cannot be compared with a variable from the 2011 Census.

England, Wales, Northern Ireland and Scotland comparisons

Not comparable

This variable is not comparable as the data is not available for all countries.

What does not comparable mean?

A variable that is not comparable means that it cannot be compared for England, Wales, Scotland and Northern Ireland.

Find out more about variables produced for Census 2021 in Northern Ireland and Census 2022 in Scotland.

Census 2021 data that uses this variable

We use variables from Census 2021 data to show findings in different ways.

You can:

Alternatively, you can also create a custom dataset.

Other datasets that use this variable