Comparison between post and pre retirement
Datafile
Index terms
| Value label | Value | Absolute frequency | Relative frequency |
|---|---|---|---|
| inapplicable | -8 | 11297 | 73.4% |
| proxy | -7 | 977 | 6.35% |
| don't know | -1 | 55 | 0.36% |
| Better | 1 | 1393 | 9.05% |
| About the same | 2 | 1139 | 7.4% |
| Not as good | 3 | 483 | 3.14% |
| Retired less than one year ago | 4 | 48 | 0.31% |
| Total | 15392 | 100.0% |
| Value label | Value | Absolute frequency | Relative frequency |
|---|---|---|---|
| inapplicable | -8 | 15951 | 84.54% |
| proxy | -7 | 801 | 4.25% |
| don't know | -1 | 33 | 0.17% |
| Better | 1 | 905 | 4.8% |
| About the same | 2 | 776 | 4.11% |
| Not as good | 3 | 357 | 1.89% |
| Retired lt 1 year | 4 | 44 | 0.23% |
| Total | 18867 | 100.0% |
| Mean | Number Missing | Min | Max | Std Dev | N |
|---|---|---|---|---|---|
| 1.78 | 16785 | 1.0 | 4.0 | 0.8 | 2082 |
Code creator 0
Create your own Stata code to extract data from the main end user licence Understanding Society dataset. Find out more
