Skip to content

Main Navigation

Home > Data and documentation > Main Survey > Variables

Mainstage Variable

mstatch

Legal marital status change

Datafile

Index term

Individual variables

Variable nameVariable labelDatafile
mstatch1 marst change 1: Legal marital status change indresp
mstatch2 marst change 2: Legal marital status change indresp
mstatch3 marst change 3: Legal marital status change indresp
mstatch4 marst change 4: Legal marital status change indresp
mstatch5 marst change 5: Legal marital status change indresp

Question asked in the latest wave:

annualpartnershiphistory_w15.mstatch

Question label:

Legal marital status change

Question text:

What did your  legal marital status become with this change? Were you...

Question universe:

if [ff_ivlolw = 1 | ff_everint = 1] // Interviewed at prior wave or has been interviewed previously
And if [RelUp > 1] // Not in the group 'last wave husband/wife/CP still resident'
And if [MStatSam = 1 | MStatSamN = 1] // Legal marital status has changed since last wave

Further details:
For further details about this question, please see the questionnaires

Saved variables
0

    Create your own Stata or R code to extract data from the main end user licence Understanding Society dataset. Find out more

    What else is Understanding Society doing?

    blog

    Barriers to opportunity for children and young people

    One of the government’s five missions, outlined in 2025, is to Break Down Barriers to Opportunity. The aim is to weaken the links between background and destiny – as Bridget Phillipson, Secretary of State for Education and Minister for Women and Equalities, says: “Life shouldn’t come down to luck”. Understanding Society’s Insights report for this

    blog
    ewr

    Austerity hit young people’s mental health

    We know that young people’s mental health has been declining around the world in recent years. We also know that young people’s services tend to be the first cut when budgets are reduced, because they are seen to have less urgent needs than, for example, older people. However, until now, we didn’t know much about

    blog

    Unpaid work – the missing link in the gender gap

    Work is a very important factor in health. Generally, employment benefits health through material and psychosocial factors such as the ability to pay for food and a home, and feelings of self-worth. These benefits vary by stress-related factors such as security, pay, hours and autonomy. All this is nothing new. But employment might be only half

    news

    Testingasdasdasdasd

    sdfsdf

    Email newsletter

    Sign up to our newsletter