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Extra living arrangements

  • Mnemonic reference

    ELARPUK11

  • Applicability

    Person

  • Type

    Derived variable

Definition

The ‘living arrangements’ classification combines responses to the question on marital and civil partnership status with information about whether or not a person is living in a couple. This classification is only applicable to people in households.

‘Living arrangements’ differs from marital and civil partnership status because cohabiting takes priority over other categories. For example, if a person is divorced and cohabiting, then in results for living arrangements they are classified as cohabiting.

Extra living arrangements offers a more detailed breakdown of people living in a couple (who are not married or in a same-sex civil partnership) than the normal ‘living arrangements’ variable (LARPUK11).

Classification

Total number of categories 13

Code Name
01 Living in a couple: Married (including separated)
02 Living in a couple: Registered same-sex civil partnership (including separated)
03 Living in a couple: Cohabiting (opposite sex)
04 Living in a couple: Cohabiting (same sex)
05 Not living in a couple: Single (never married or never registered a same-sex civil partnership)
06 Not living in a couple: Married
07 Not living in a couple: Registered same-sex civil partnership
08 Not living in a couple: Separated (but still legally married or still legally in a same-sex civil partnership)
09 Not living in a couple: Divorced
10 Not living in a couple: Dissolved
11 Not living in a couple: Widowed
12 Not living in a couple: Survived
XX No code required - comprises people in communal establishments and schoolchildren and full-time students living away from home during term-time.

Source question or variables

FT1 (Derived variable)

GENINFAM (Derived variable)

MARSTAT (Primary variable)

RESIDENCE_TYPE (Primary variable)

TERMIND (Primary variable)

Known Quality Issues

This variable relies on relationship data, which include some known quality issues. These are summarised on the Data Quality Issues Page.