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    Home / Central Data Catalog / LSMS / BGR_2001_IHS_V01_M / variable [F15]
lsms

Integrated Household Survey 2001

Bulgaria, 2001
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Reference ID
BGR_2001_IHS_v01_M
Producer(s)
Gallup International
Collection(s)
Living Standards Measurement Study (LSMS)
Metadata
Documentation in PDF DDI/XML JSON
Created on
Jul 28, 2015
Last modified
Jan 30, 2020
Page views
157774
Downloads
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  • adultequivalent
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  • R0
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  • agriculturalinputsaggregate
  • cropaggregate
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  • individualincomeaggregate
  • individualinkindbenefitsaggregate
  • livestockaggregate
  • MainJobAggregate
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  • otherrevenuesaggregate
  • privatepensionaggregate
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  • realestateaggregate
  • remittancesreceivedaggregate
  • remittancessentaggregate
  • SecondJobAggregate
  • SelfEmploymentAggregate
  • SelfEmploymentBusinessAggregate
  • socialprogramaggregate
  • survivorspensionaggregate
  • unemploymentbenefitsaggregate
  • AgriculturalInputsAggregate
  • CropAggregate
  • Deflator
  • DisabilityPensionAggregate
  • HouseholdBenefitsAggregate
  • HouseholdIncomeAggregate
  • IndividualIncomeAggregate
  • IndividualInkindBenefitsAggregate
  • LivestockAggregate
  • MainJobAggregate
  • OtherFarmingAggregate
  • OtherRevenuesAggregate
  • PrivatePensionAggregate
  • PublicPensionAggregate
  • RealEstateAggregate
  • RemittancesReceivedAggregate
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  • SecondJobAggregate
  • SelfEmploymentAggregate
  • SelfEmploymentBusinessAggregate
  • SocialProgramAggregate
  • SurvivorsPensionAggregate
  • UnemploymentBenefitsAggregate
  • assetprofile
  • employmentprofile
  • householdinformation
  • personalinformation
  • povertyprofile
  • socialassistanceprofile
  • AssetProfile
  • EmploymentProfile
  • HouseholdInformation
  • PersonalInformation
  • PovertyProfile
  • SocialAssistanceProfile

Type of job (act_prev)

Data file: R6_1

Overview

Valid: 465
Invalid: 5962
Type: Discrete
Decimal: 0
Start: 80
End: 81
Width: 2
Range: -2 - 48
Format: Numeric

Questions and instructions

Categories
Value Category Cases
-2 Refusal to answer 0
0%
-1 Don't know 0
0%
0 Self-employed/Farmer 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 2
0%
3 Managers of state organizations and enterprises 3
0%
4 Engineering and technical experts 7
0.1%
5 Agronomists, veterinary, zoological, and forestry experts 2
0%
6 Research and Development Experts 3
0%
7 Managers, lecturers, teachers, etc. 15
0.2%
8 Cultural, arts, and mass communications staff 7
0.1%
9 Health care, physical education, and sports staff 11
0.2%
10 Legal Staff 4
0.1%
11 Security and defense staff 9
0.1%
12 Financial accounting experts, economists 21
0.3%
13 Religion 0
0%
14 Other intellectual professions 4
0.1%
15 Programmers and operators of automatic lines and systems 3
0%
16 Miners and related staff 6
0.1%
17 Metallurgists, foundry workers, coke production 7
0.1%
18 Wires, electric, and electronic industry 19
0.3%
19 Chemical, petrochemical and rubber industry 11
0.2%
20 Production of construction materials 3
0%
21 Wood yielding 4
0.1%
22 Wood processing 4
0.1%
23 Pulp and paper industry 0
0%
24 Glass and china industry 5
0.1%
25 Textile industry 1
0%
26 Tailoring 18
0.3%
27 Fur and Leather 1
0%
28 Shoe-making 0
0%
29 Poligraphic industry 1
0%
30 Food processing, soap production, and fodder production 25
0.4%
31 Energy production 2
0%
32 Construction and operation of forklifts, etc. 35
0.5%
33 Agriculture 29
0.5%
34 Forestry : preservation and replanting 5
0.1%
35 Railways 2
0%
36 Automobile and electric transport 19
0.3%
37 Water transport 2
0%
38 Air transport 1
0%
39 Other transport related professions 10
0.2%
40 Communications personnel 3
0%
41 Trade personnel (salespeople) 56
0.9%
42 Public utilities and services personnel 24
0.4%
43 Janitors, sick-nurses, etc. 7
0.1%
44 Other physical labor related professions 55
0.9%
45 Unspecified profession (vague job definition) 19
0.3%
46 student/in the army 0
0%
47 never worked 0
0%
48 unemployed 0
0%
Sysmiss 5962
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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