World Values Survey - Wave 7, 2022
Libya, 2021 - 2022
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Reference ID
LBY_2022_WVS-W7_v01_M
Producer(s)
The World Values Survey (WVS)
Metadata
Created on
Aug 28, 2024
Last modified
Aug 28, 2024
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3057
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- Data files
- WVS_Wave_7_Libya_Stata_v5.0
Respondent's Father - Occupational group (when respondent was 14 years old) (Q283)
Data file: WVS_Wave_7_Libya_Stata_v5.0
Overview
Valid:
1196
Invalid:
0
Minimum:
-5
Maximum:
10
Type:
Discrete
Decimal:
0
Width:
9
Range:
-5 - 10
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| -5 | Other missing; Multiple answers Mail (EVS) {other missing} | 5 |
0.4%
|
| -3 | Does not apply to me; EVS | 10 |
0.8%
|
| -2 | No answer | 9 |
0.8%
|
| -1 | Don't know | 30 |
2.5%
|
| 0 | Never had a job | 56 |
4.7%
|
| 1 | Professional and technical (for example: doctor, teacher, engineer, artist, accountant, nurse){Professional and technical} | 282 |
23.6%
|
| 2 | Higher administrative (for example: banker, executive in big business, high government official, union official){Higher administrative } | 73 |
6.1%
|
| 3 | Clerical (for example: secretary, clerk, office manager, civil servant, bookkeeper{Clerical } | 182 |
15.2%
|
| 4 | Sales (for example: sales manager, shop owner, shop assistant, insurance agent, buyer){Sales } | 69 |
5.8%
|
| 5 | Service (for example: restaurant owner, police officer, waitress, barber, caretaker){Service } | 95 |
7.9%
|
| 6 | Skilled worker (for example: foreman, motor mechanic, printer, seamstress, tool and die maker, electrician){Skilled worker } | 89 |
7.4%
|
| 7 | Semi-skilled worker (for example: bricklayer, bus driver, cannery worker, carpenter, sheet metal worker, baker){Semi-skilled worker} | 65 |
5.4%
|
| 8 | Unskilled worker (for example: labourer, porter, unskilled factory worker, cleaner){Unskilled worker} | 54 |
4.5%
|
| 9 | Farm worker (for example: farm labourer, tractor driver){Farm worker } | 124 |
10.4%
|
| 10 | Farm owner, farm manager{Farm owner/manager} | 53 |
4.4%
|
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.