Mnemonic: hh_multi_religion
Applicability: Household
Type: Derived variable

Definition

Classifies households by whether members identify with the same religion, no religion, did not answer the question, or a combination of these options.

This question was voluntary and the variable includes those who answered the question alongside those who chose not to.

Classification

Total number of categories: 7

Code Name
1 One-person household
2 Multi-person household: No people answered the religion question
3 Multi-person household: Same religion (at least one person has stated a religion but the household may include people who did not answer the religion question)
4 Multi-person household: No religion (household may include people who did not answer the religion question)
5 Multi-person household: Same religion and no religion (household may include people who did not answer the religion question)
6 Multi-person household: At least two different religions stated (household may include people with no religion and who did not answer the religion question)
-8 Does not apply*

*Households with no usual residents.

View all multiple religions in household classifications.

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.

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Alternatively, you can also create a custom dataset.

Other datasets that use this variable