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    Home / Central Data Catalog / LSMS / BGR_1995_IHS_V01_M / variable [F39]
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
129360
Downloads
2927
  • 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 at time of retirement (ret_job)

Data file: FILE39V0

Overview

Valid: 1915
Invalid: 5
Type: Discrete
Decimal: 0
Start: 16
End: 17
Width: 2
Range: 1 - 45
Format: Numeric

Questions and instructions

Categories
Value Category Cases
0 None 0
0%
1 Managers and high government officials, and local authorities 6
0.3%
2 Managers and high party officials, officials of public and other organizations 9
0.5%
3 Managers of state organizations and enterprises 16
0.8%
4 Engineering and technical experts 21
1.1%
5 Agronomists, veterinary, zoological, and forestry experts 4
0.2%
6 Research and Development Experts 8
0.4%
7 Managers, lecturers, teachers, etc 76
4%
8 Cultural, arts, and mass communications staff 29
1.5%
9 Health care, physical education, and sports staff 52
2.7%
10 Legal Staff 4
0.2%
11 Security and defense staff 47
2.5%
12 Financial accounting experts, economists 83
4.3%
13 Religion 3
0.2%
14 Other intellectual professions 15
0.8%
15 Programmers and operators of automatic lines and systems 3
0.2%
16 Miners and related staff 77
4%
17 Metallurgists, foundry workers, coke production 36
1.9%
18 Wires, electric, and electronic industry 51
2.7%
19 Chemical, petrochemical and rubber industry 23
1.2%
20 Production of construction materials 15
0.8%
21 Wood yielding 19
1%
22 Wood processing 18
0.9%
23 Pulp and paper industry 4
0.2%
24 Glass and china industry 10
0.5%
25 Textile industry 39
2%
26 Tailoring 69
3.6%
27 Fur and Leather 5
0.3%
28 Shoe-making 6
0.3%
29 Poligraphic industry 5
0.3%
30 Food processing, soap production, and fodder production 71
3.7%
31 Energy production 13
0.7%
32 Construction and operation of forklifts, etc 66
3.4%
33 Agriculture 638
33.3%
34 Forestry:preservation and replanting 2
0.1%
35 Railways 36
1.9%
36 Automobile and electric transport 32
1.7%
37 Water transport 0
0%
38 Air transport 2
0.1%
39 Other transport related professions 17
0.9%
40 Communications personnel 21
1.1%
41 Trade personnel (salespeople) 66
3.4%
42 Public utilities and services personnel 68
3.6%
43 Janitors, sick-nurses, etc 30
1.6%
44 Other physical labor related professions 83
4.3%
45 Unspecified profession (vague job definition) 17
0.9%
Sysmiss 5
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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