Dataset: Třídní a sociální sruktura - TSS 1984, Československo

Variable a44: Father Occ When Same Age as R (99 Codes)

Literal Question

Jaké zaměstnání měl váš otec, když byl zhruba ve vašem věku? kód zaměstnání

Values Categories N
0 Missing 0
 0.0%
1 Farm Worker 1214
 17.4%
2 Animal Husbandry Wkr 265
 3.8%
3 Farm Machine Op 165
 2.4%
4 Fishery Worker 2
 0.0%
5 Forestry Worker 131
 1.9%
6 Undergrnd Miner 223
 3.2%
7 Fuel/Metal Extractor 68
 1.0%
8 Briquetting Wrkr 3
 0.0%
9 Manual Wrk/Miner Geo Res 13
 0.2%
10 Well Drillers 5
 0.1%
11 Metalurgists 63
 0.9%
12 Utility Wrkr 28
 0.4%
13 River Maintenants 7
 0.1%
14 Extr/Elec/Gas Wkr NEC 16
 0.2%
15 Chem Processor 46
 0.7%
16 Metal Processor 594
 8.5%
17 Electricians 56
 0.8%
18 Silicate Product Wkr 103
 1.5%
19 Wood/Paper Wkr 205
 2.9%
20 Printers 11
 0.2%
21 Textile/Garment Maker 93
 1.3%
22 Fur Dresser 108
 1.5%
23 Food Processor 153
 2.2%
24 Producers NEC 236
 3.4%
25 Construction Wkr 433
 6.2%
26 Sideline Constr Wkr 118
 1.7%
27 Road Constr Wkr 46
 0.7%
28 Bulldozer Op etc 13
 0.2%
29 Road worker 67
 1.0%
30 Transp Svc Wkr 103
 1.5%
31 Motor-Veh Driver 198
 2.8%
32 Car Drivers 69
 1.0%
33 Conductor 27
 0.4%
34 Aircraft Personnel 2
 0.0%
35 Ship Crews 4
 0.1%
36 Crane Operator 108
 1.5%
37 Post/Tele Wkr 44
 0.6%
38 Sales Worker 91
 1.3%
39 Chief of Shop 60
 0.9%
40 Personal Svc Wkr 153
 2.2%
41 Laundry Wkr 3
 0.0%
42 Street/Sew Cleaner 3
 0.0%
43 Raw Mat Recycler 3
 0.0%
44 Hotel Svc Wkr 51
 0.7%
45 Cook 17
 0.2%
46 Storage Wkr 127
 1.8%
47 Manuf Laborer 22
 0.3%
48 Fire Fighter 44
 0.6%
49 Svc & Auxil Wkr 7
 0.1%
50 Technician in Agr/Fi 99
 1.4%
51 Mining Technician 11
 0.2%
52 Mining Researcher 0
 0.0%
53 Metalurgical Tech 10
 0.1%
54 Tech in Metalurgical Res 1
 0.0%
55 Mech Engine Tech 83
 1.2%
56 Mech Eng Researcher 10
 0.1%
57 Electrician 21
 0.3%
58 Electric Engineer 4
 0.1%
59 Chemical Engineer 19
 0.3%
60 Chemical Technician 6
 0.1%
61 Civil Engineer 93
 1.3%
62 Civil Eng Researcher 5
 0.1%
63 Telecom Tech 52
 0.7%
64 Air Technician 5
 0.1%
65 Technical Wkr NEC 16
 0.2%
66 Textile Technician 23
 0.3%
67 Administrators 40
 0.6%
68 Central State Off 56
 0.8%
69 Judge/Prosecutors 11
 0.2%
70 Managers 78
 1.1%
71 Economic Worker 174
 2.5%
72 Head of Dept 33
 0.5%
73 Prof Wkr Management 6
 0.1%
74 Prof Commerce/Touri 50
 0.7%
75 Clerk 65
 0.9%
76 Member of Defense/Se 238
 3.4%
77 Mangr/Admin NEC 10
 0.1%
78 Univ Teachers 7
 0.1%
79 School Inspector 4
 0.1%
80 Prim Sch Teacher 38
 0.5%
81 Prim Sch Dirctor 12
 0.2%
82 2nd Sch Teacher 21
 0.3%
83 Dir 2nd/For Lang Sch 4
 0.1%
84 Press/Cultre Wkr 14
 0.2%
85 Artist 14
 0.2%
86 Doctors 4
 0.1%
87 Pharmacists 1
 0.0%
88 Dentists 4
 0.1%
89 Nurses 0
 0.0%
90 Health Specialist 2
 0.0%
91 Lower HlthCare Wk 2
 0.0%
92 Athlete/Coach 6
 0.1%
93 Social Workers 1
 0.0%
94 Relig Leaders 1
 0.0%
95 Prof NonProduction 1
 0.0%
96 Scientist 3
 0.0%
97 Science Professor 3
 0.0%
98 Educ Researcher 3
 0.0%
99 Wkr w High Educ 2
 0.0%

Summary Statistics

Valid cases 6987
Missing cases 11842
Minimum 1.0
Maximum 99.0
This variable is numeric

Download

Metadata Index

This is the Metadata Index for a Nesstar Server.
Nesstar is a tool used for analysing, visualising and downloading datasets.

Click the "Explore Dataset" button to open the dataset.