how pay unexpected expense: income, not cutting back on essentials
Datafile
Index terms
- Health and well-being Lifestyle and health Material deprivation measures (MDM) Pensioner measures
- Money and finances Material deprivation measures (MDM) Pensioner measures
Question asked in the latest wave:
household_w14.pdepoh
Question label:
How pay unexpected expense
Question text:
HHGRID.hhsize greater than 1How would the people living here of pensionable ageHHGRID.hhsize = 1How would you pay for this unexpected expense of £200?
Question universe:
if GRIDVARIABLES.NKIDS015 = 0 & GRIDVARIABLES.NPENSIONER > 0 (No children aged 0 to 15 in the household and one or more persons of pensionable age)
and if PDepO = 1 (Would be able to pay an unexpected expense of 200 pounds)
Question interviewer instructions:
CODE ALL THAT APPLY
Further details:
For further details about this question, please see the questionnaires
| Value label | Value | Absolute frequency | Relative frequency |
|---|---|---|---|
| inapplicable | -8 | 15094 | 70.58% |
| refusal | -2 | 13 | 0.06% |
| don't know | -1 | 6 | 0.03% |
| Not mentioned | 0 | 3636 | 17.0% |
| Yes mentioned | 1 | 2636 | 12.33% |
| Total | 21385 | 100.0% |
| Value label | Value | Absolute frequency | Relative frequency |
|---|---|---|---|
| inapplicable | -8 | 11904 | 70.62% |
| refusal | -2 | 5 | 0.03% |
| don't know | -1 | 8 | 0.05% |
| Not mentioned | 0 | 2770 | 16.43% |
| Yes mentioned | 1 | 2169 | 12.87% |
| Total | 16856 | 100.0% |
| Value label | Value | Absolute frequency | Relative frequency |
|---|---|---|---|
| inapplicable | -8 | 13462 | 69.93% |
| refusal | -2 | 6 | 0.03% |
| don't know | -1 | 14 | 0.07% |
| Not mentioned | 0 | 3316 | 17.22% |
| Yes mentioned | 1 | 2454 | 12.75% |
| Total | 19252 | 100.0% |
| Value label | Value | Absolute frequency | Relative frequency |
|---|---|---|---|
| inapplicable | -8 | 15137 | 69.61% |
| refusal | -2 | 6 | 0.03% |
| don't know | -1 | 24 | 0.11% |
| Not mentioned | 0 | 3992 | 18.36% |
| Mentioned | 1 | 2587 | 11.9% |
| Total | 21746 | 100.0% |
| Value label | Value | Absolute frequency | Relative frequency |
|---|---|---|---|
| Not available for IEMB | -10 | 2468 | 10.09% |
| missing | -9 | 1 | 0.0% |
| inapplicable | -8 | 15268 | 62.44% |
| refusal | -2 | 6 | 0.02% |
| don't know | -1 | 19 | 0.08% |
| not mentioned | 0 | 4439 | 18.15% |
| mentioned | 1 | 2253 | 9.21% |
| Total | 24454 | 100.0% |
| Value label | Value | Absolute frequency | Relative frequency |
|---|---|---|---|
| inapplicable | -8 | 18439 | 71.42% |
| refusal | -2 | 3 | 0.01% |
| don't know | -1 | 8 | 0.03% |
| not mentioned | 0 | 4854 | 18.8% |
| mentioned | 1 | 2513 | 9.73% |
| Total | 25817 | 100.0% |
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
