Migration 4: Where lived abroad
Datafile
Index term
| Value label | Value | Absolute frequency | Relative frequency |
|---|---|---|---|
| inapplicable | -8 | 39327 | 93.26% |
| proxy | -7 | 2832 | 6.72% |
| Australia | 25 | 2 | 0.0% |
| Germany | 124 | 1 | 0.0% |
| Hong Kong | 143 | 1 | 0.0% |
| Italy | 157 | 2 | 0.0% |
| Kuwait | 172 | 1 | 0.0% |
| Netherlands | 214 | 1 | 0.0% |
| Saudi Arabia | 256 | 1 | 0.0% |
| Zimbabwe (Rhodesia) | 326 | 1 | 0.0% |
| Other Country | 997 | 1 | 0.0% |
| Total | 42170 | 100.0% |
| Mean | Number Missing | Min | Max | Std Dev | N |
|---|---|---|---|---|---|
| 236.0 | 42159 | 25.0 | 997.0 | 267.38 | 11 |
| Value label | Value | Absolute frequency | Relative frequency |
|---|---|---|---|
| Only available for IEMB | -11 | 40577 | 89.79% |
| inapplicable | -8 | 4413 | 9.77% |
| proxy | -7 | 195 | 0.43% |
| China | 72 | 1 | 0.0% |
| France | 115 | 1 | 0.0% |
| Jamaica | 158 | 1 | 0.0% |
| Japan | 159 | 1 | 0.0% |
| Korea, Republic of (South Korea) | 170 | 1 | 0.0% |
| Malaysia | 189 | 1 | 0.0% |
| Tunisia | 296 | 1 | 0.0% |
| Total | 45192 | 100.0% |
| Mean | Number Missing | Min | Max | Std Dev | N |
|---|---|---|---|---|---|
| -10.97 | 4608 | -11.0 | 296.0 | 2.47 | 40584 |
Saved variables
0
0
Create your own Stata or R code to extract data from the main end user licence Understanding Society dataset. Find out more
