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    Home / Central Data Catalog / TUN_2019_WVS-W7_V01_M / variable [F1]
central

World Values Survey - Wave 7, 2019

Tunisia, 2019
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Reference ID
TUN_2019_WVS-W7_v01_M
Producer(s)
The World Values Survey (WVS)
Metadata
Documentation in PDF DDI/XML JSON
Study website
Created on
Aug 28, 2024
Last modified
Aug 28, 2024
Page views
6528
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  • WVS_Wave_7_Tunisia_Stata_v5.0

Respondent's Father - Occupational group (when respondent was 14 years old) (Q283)

Data file: WVS_Wave_7_Tunisia_Stata_v5.0

Overview

Valid: 1208
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} 47
3.9%
-2 No answer 49
4.1%
-1 Don't know 20
1.7%
0 Never had a job 317
26.2%
1 Professional and technical (for example: doctor, teacher, engineer, artist, accountant, nurse){Professional and technical} 18
1.5%
2 Higher administrative (for example: banker, executive in big business, high government official, union official){Higher administrative } 27
2.2%
3 Clerical (for example: secretary, clerk, office manager, civil servant, bookkeeper{Clerical } 46
3.8%
4 Sales (for example: sales manager, shop owner, shop assistant, insurance agent, buyer){Sales } 58
4.8%
5 Service (for example: restaurant owner, police officer, waitress, barber, caretaker){Service } 39
3.2%
6 Skilled worker (for example: foreman, motor mechanic, printer, seamstress, tool and die maker, electrician){Skilled worker } 51
4.2%
7 Semi-skilled worker (for example: bricklayer, bus driver, cannery worker, carpenter, sheet metal worker, baker){Semi-skilled worker} 103
8.5%
8 Unskilled worker (for example: labourer, porter, unskilled factory worker, cleaner){Unskilled worker} 145
12%
9 Farm worker (for example: farm labourer, tractor driver){Farm worker } 218
18%
10 Farm owner, farm manager{Farm owner/manager} 70
5.8%
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.
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