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    Home / Central Data Catalog / LSMS / BGR_1995_IHS_V01_M / variable [F42]
lsms

Integrated Household Survey 1995

Bulgaria, 1995
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Reference ID
BGR_1995_IHS_v01_M
DOI
https://doi.org/10.48529/862v-hz61
Producer(s)
Gallup International
Collection(s)
Living Standards Measurement Study (LSMS)
Metadata
Documentation in PDF DDI/XML JSON
Created on
May 28, 2015
Last modified
Jan 30, 2020
Page views
112441
Downloads
2811
  • Study Description
  • Data Description
  • Documentation
  • Get Microdata
  • Data files
  • FILE01V0
  • FILE02V1
  • FILE03V0
  • FILE04V0
  • FILE05V0
  • FILE06V0
  • FILE07V0
  • FILE08V0
  • FILE09V0
  • FILE10V0
  • FILE11V1
  • FILE12V1
  • FILE13V1
  • FILE14V0
  • FILE15V0
  • FILE16V0
  • FILE17V0
  • FILE18V0
  • FILE19V0
  • FILE20V0
  • FILE21V0
  • FILE22V0
  • FILE23V1
  • FILE24V1
  • FILE25V1
  • FILE26V0
  • FILE27V0
  • FILE28V1
  • FILE29V1
  • FILE30V0
  • FILE31V0
  • FILE32V0
  • FILE33V1
  • FILE34V1
  • FILE35V1
  • FILE36V1
  • FILE37V0
  • FILE38V0
  • FILE39V0
  • FILE40V0
  • FILE41V0
  • FILE42V0
  • FILE43V0
  • FILE44V0
  • FILE45V0
  • FILE46V0
  • FILE47V0
  • FILE48V1
  • FILE49V1
  • FILE50V1
  • FILE51V1
  • FILE52V0
  • FILE53V0
  • PRICEADJ
  • SAMPLE01
  • STRATA
  • ADJUST
  • ADJUSTR
  • ADJUSTW
  • CONMILK
  • GITEMF
  • GITEMNF1
  • GITEMNF2
  • HHCOMP
  • HHEXPPC
  • HHEXPPCD
  • HHEXPPCS
  • HHEXPTL
  • HHEXPTLD
  • HHEXPTLS
  • HHINCTL
  • HHPOOR
  • HHPOORD
  • HHSIZE
  • INDINCTL
  • KCALFD

3. Main job when became unemployed (un_job)

Data file: FILE42V0

Overview

Valid: 336
Invalid: 3
Type: Discrete
Decimal: 0
Start: 15
End: 16
Width: 2
Range: 1 - 46
Format: Numeric

Questions and instructions

Categories
Value Category Cases
0 None 0
0%
1 Managers and high government officials, and local authorities 0
0%
2 Managers and high party officials, officials of public and other organizations 3
0.9%
3 Managers of state organizations and enterprises 3
0.9%
4 Engineering and technical experts 8
2.4%
5 Agronomists, veterinary, zoological, and forestry experts 2
0.6%
6 Research and Development Experts 0
0%
7 Managers, lecturers, teachers, etc 3
0.9%
8 Cultural, arts, and mass communications staff 3
0.9%
9 Health care, physical education, and sports staff 4
1.2%
10 Legal Staff 0
0%
11 Security and defense staff 6
1.8%
12 Financial accounting experts, economists 13
3.9%
13 Religion 0
0%
14 Other intellectual professions 6
1.8%
15 Programmers and operators of automatic lines and systems 3
0.9%
16 Miners and related staff 2
0.6%
17 Metallurgists, foundry workers, coke production 4
1.2%
18 Wires, electric, and electronic industry 19
5.7%
19 Chemical, petrochemical and rubber industry 3
0.9%
20 Production of construction materials 1
0.3%
21 Wood yielding 6
1.8%
22 Wood processing 4
1.2%
23 Pulp and paper industry 0
0%
24 Glass and china industry 0
0%
25 Textile industry 5
1.5%
26 Tailoring 7
2.1%
27 Fur and Leather 1
0.3%
28 Shoe-making 0
0%
29 Poligraphic industry 1
0.3%
30 Food processing, soap production, and fodder production 10
3%
31 Energy production 2
0.6%
32 Construction and operation of forklifts, etc 20
6%
33 Agriculture 51
15.2%
34 Forestry:preservation and replanting 2
0.6%
35 Railways 1
0.3%
36 Automobile and electric transport 13
3.9%
37 Water transport 0
0%
38 Air transport 1
0.3%
39 Other transport related professions 4
1.2%
40 Communications personnel 2
0.6%
41 Trade personnel (salespeople) 29
8.6%
42 Public utilities and services personnel 13
3.9%
43 Janitors, sick-nurses, etc 1
0.3%
44 Other physical labor related professions 29
8.6%
45 Unspecified profession (vague job definition) 9
2.7%
46 42
12.5%
Sysmiss 3
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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