Synthetic Data for an Imaginary Country, Sample, 2023
A synthetic hierarchical dataset for simulation and training purposes
World, 2023
Get MicrodataCreated on
Jul 07, 2023
Last modified
Jul 07, 2023
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Main occupation (occupation)
Data file: WLD_2023_SYNTH-SVY-IND-EN_v01_M
Overview
Valid:
32396
Minimum:
0.0
Maximum:
11.0
Type:
Discrete
Width:
39
Format:
Numeric
Questions and instructions
Literal question
What is/was [name's] main occupation?
Categories
| Value | Category | Cases | Weighted | |
|---|---|---|---|---|
| 0 | Not in universe | 19439 | 6034626 |
59.9%
|
| 1 | Legislators, senior officials and manag | 355 | 113482 |
1.1%
|
| 2 | Professionals | 803 | 249218 |
2.5%
|
| 3 | Technicians and associate professionals | 627 | 196245 |
1.9%
|
| 4 | Clerks | 643 | 202736 |
2%
|
| 5 | Service workers and shop and market sal | 1989 | 616831 |
6.1%
|
| 6 | Skilled agricultural and fishery worker | 4021 | 1255757 |
12.5%
|
| 7 | Crafts and related trades workers | 1897 | 588969 |
5.8%
|
| 8 | Plant and machine operators and assembl | 792 | 243871 |
2.4%
|
| 9 | Elementary occupations | 1718 | 538120 |
5.3%
|
| 10 | Armed forces | 45 | 13723 |
0.1%
|
| 11 | Other occupations, unspecified or n.e.c | 67 | 20764 |
0.2%
|
Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.
Question post text
Ask about current occupation if employed, otherwise about the last occupation.
Description
Universe
For members aged 15 and above; If [name] is active: