Dataset: Třídní a sociální sruktura - TSS 1984, Československo

Variable c40: First Occupation (99 Codes)

Literal Question

kód prvního zaměstnání respondenta

Values Categories N
0 Missing 0
 0.0%
1 Farm Worker 1764
 10.3%
2 Animal Husbandry Wkr 370
 2.2%
3 Farm Machine Op 305
 1.8%
4 Fishery Worker 6
 0.0%
5 Forestry Worker 239
 1.4%
6 Undergrnd Miner 185
 1.1%
7 Fuel/Metal Extractor 35
 0.2%
8 Briquetting Wrkr 12
 0.1%
9 Manual Wrk/Miner Geo Res 6
 0.0%
10 Well Drillers 7
 0.0%
11 Metalurgists 92
 0.5%
12 Utility Wrkr 28
 0.2%
13 River Maintenants 8
 0.0%
14 Extr/Elec/Gas Wkr NEC 32
 0.2%
15 Chem Processor 169
 1.0%
16 Metal Processor 1654
 9.7%
17 Electricians 367
 2.2%
18 Silicate Product Wkr 250
 1.5%
19 Wood/Paper Wkr 470
 2.8%
20 Printers 67
 0.4%
21 Textile/Garment Maker 1217
 7.1%
22 Fur Dresser 278
 1.6%
23 Food Processor 416
 2.4%
24 Producers NEC 684
 4.0%
25 Construction Wkr 633
 3.7%
26 Sideline Constr Wkr 324
 1.9%
27 Road Constr Wkr 29
 0.2%
28 Bulldozer Op etc 13
 0.1%
29 Road worker 27
 0.2%
30 Transp Svc Wkr 76
 0.4%
31 Motor-Veh Driver 147
 0.9%
32 Car Drivers 30
 0.2%
33 Conductor 36
 0.2%
34 Aircraft Personnel 4
 0.0%
35 Ship Crews 8
 0.0%
36 Crane Operator 113
 0.7%
37 Post/Tele Wkr 137
 0.8%
38 Sales Worker 866
 5.1%
39 Chief of Shop 39
 0.2%
40 Personal Svc Wkr 556
 3.3%
41 Laundry Wkr 29
 0.2%
42 Street/Sew Cleaner 7
 0.0%
43 Raw Mat Recycler 4
 0.0%
44 Hotel Svc Wkr 173
 1.0%
45 Cook 298
 1.7%
46 Storage Wkr 181
 1.1%
47 Manuf Laborer 101
 0.6%
48 Fire Fighter 13
 0.1%
49 Svc & Auxil Wkr 28
 0.2%
50 Technician in Agr/Fi 201
 1.2%
51 Mining Technician 18
 0.1%
52 Mining Researcher 1
 0.0%
53 Metalurgical Tech 24
 0.1%
54 Tech in Metalurgical Res 5
 0.0%
55 Mech Engine Tech 200
 1.2%
56 Mech Eng Researcher 28
 0.2%
57 Electrician 87
 0.5%
58 Electric Engineer 26
 0.2%
59 Chemical Engineer 43
 0.3%
60 Chemical Technician 32
 0.2%
61 Civil Engineer 169
 1.0%
62 Civil Eng Researcher 25
 0.1%
63 Telecom Tech 79
 0.5%
64 Air Technician 14
 0.1%
65 Technical Wkr NEC 79
 0.5%
66 Textile Technician 31
 0.2%
67 Administrators 16
 0.1%
68 Central State Off 67
 0.4%
69 Judge/Prosecutors 15
 0.1%
70 Managers 5
 0.0%
71 Economic Worker 683
 4.0%
72 Head of Dept 56
 0.3%
73 Prof Wkr Management 124
 0.7%
74 Prof Commerce/Touri 89
 0.5%
75 Clerk 801
 4.7%
76 Member of Defense/Se 116
 0.7%
77 Mangr/Admin NEC 33
 0.2%
78 Univ Teachers 40
 0.2%
79 School Inspector 3
 0.0%
80 Prim Sch Teacher 459
 2.7%
81 Prim Sch Dirctor 33
 0.2%
82 2nd Sch Teacher 108
 0.6%
83 Dir 2nd/For Lang Sch 4
 0.0%
84 Press/Cultre Wkr 59
 0.3%
85 Artist 28
 0.2%
86 Doctors 78
 0.5%
87 Pharmacists 17
 0.1%
88 Dentists 5
 0.0%
89 Nurses 316
 1.9%
90 Health Specialist 96
 0.6%
91 Lower HlthCare Wk 86
 0.5%
92 Athlete/Coach 10
 0.1%
93 Social Workers 16
 0.1%
94 Relig Leaders 7
 0.0%
95 Prof NonProduction 6
 0.0%
96 Scientist 17
 0.1%
97 Science Professor 8
 0.0%
98 Educ Researcher 37
 0.2%
99 Wkr w High Educ 11
 0.1%

Summary Statistics

Valid cases 17044
Missing cases 1785
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.