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    Home / Central Data Catalog / LSMS / BGR_2001_IHS_V01_M / variable [F33]
lsms

Integrated Household Survey 2001

Bulgaria, 2001
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Reference ID
BGR_2001_IHS_v01_M
DOI
https://doi.org/10.48529/4akk-mt63
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
293598
Downloads
3324
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  • adultequivalent
  • assetscore
  • durable
  • durableaggregate
  • ownconsumptionaggregate
  • rent
  • rentaggregate
  • R0
  • R1
  • R2
  • R3
  • R4
  • R5_1
  • R5_2
  • R6_1
  • R6_2
  • R6_3
  • R6_4_1
  • R6_4_2
  • R6_4_3
  • R6_5
  • R6_6_1
  • R6_6_2
  • R6_7
  • R6_8
  • R6_9
  • R7_1
  • R7_2
  • R8_1
  • R8_2
  • R8_3
  • R8_4
  • R8_5
  • R8_6
  • R8_7
  • R8_8
  • R8_9
  • R8_10
  • R9_1
  • R9_2
  • R10
  • R11
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  • adjustedtotalaggregate
  • districtpriceindex
  • educationaggregate
  • foodaggregate
  • gitemf
  • houseaggregate
  • householdsize
  • nonfoodaggregate
  • percapitaconsumption
  • sampleframe
  • seasonaladjustmentfactor
  • strata
  • totalaggregate
  • AdjustedPercapitaConsumption
  • AdjustedTotalAggregate
  • DistrictPriceIndex
  • EducationAggregate
  • FoodAggregate
  • Gitemf
  • HouseAggregate
  • HouseholdSize
  • NonfoodAggregate
  • PercapitaConsumption
  • SampleFrame
  • SeasonalAdjustmentFactor
  • Strata
  • TotalAggregate
  • agriculturalinputsaggregate
  • cropaggregate
  • Deflator
  • disabilitypensionaggregate
  • householdbenefitsaggregate
  • householdincomeaggregate
  • individualincomeaggregate
  • individualinkindbenefitsaggregate
  • livestockaggregate
  • MainJobAggregate
  • OtherFarmingAggregate
  • otherrevenuesaggregate
  • privatepensionaggregate
  • publicpensionaggregate
  • 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
  • RemittancesSentAggregate
  • SecondJobAggregate
  • SelfEmploymentAggregate
  • SelfEmploymentBusinessAggregate
  • SocialProgramAggregate
  • SurvivorsPensionAggregate
  • UnemploymentBenefitsAggregate
  • assetprofile
  • employmentprofile
  • householdinformation
  • personalinformation
  • povertyprofile
  • socialassistanceprofile
  • AssetProfile
  • EmploymentProfile
  • HouseholdInformation
  • PersonalInformation
  • PovertyProfile
  • SocialAssistanceProfile

Main job when he/she became unemployed (un_job)

Data file: R8_5

Overview

Valid: 1506
Invalid: 59
Type: Discrete
Decimal: 0
Start: 22
End: 23
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 1
0.1%
2 Managers and high party officials, officials of public and other organizations 2
0.1%
3 Managers of state organizations and enterprises 3
0.2%
4 Engineering and technical experts 17
1.1%
5 Agronomists, veterinary, zoological, and forestry experts 2
0.1%
6 Research and Development Experts 3
0.2%
7 Managers, lecturers, teachers, etc. 14
0.9%
8 Cultural, arts, and mass communications staff 9
0.6%
9 Health care, physical education, and sports staff 13
0.9%
10 Legal Staff 0
0%
11 Security and defense staff 12
0.8%
12 Financial accounting experts, economists 29
1.9%
13 Religion 0
0%
14 Other intellectual professions 17
1.1%
15 Programmers and operators of automatic lines and systems 8
0.5%
16 Miners and related staff 11
0.7%
17 Metallurgists, foundry workers, coke production 21
1.4%
18 Wires, electric, and electronic industry 47
3.1%
19 Chemical, petrochemical and rubber industry 17
1.1%
20 Production of construction materials 4
0.3%
21 Wood yielding 12
0.8%
22 Wood processing 13
0.9%
23 Pulp and paper industry 4
0.3%
24 Glass and china industry 10
0.7%
25 Textile industry 15
1%
26 Tailoring 51
3.4%
27 Fur and Leather 2
0.1%
28 Shoe-making 2
0.1%
29 Poligraphic industry 2
0.1%
30 Food processing, soap production, and fodder production 61
4.1%
31 Energy production 5
0.3%
32 Construction and operation of forklifts, etc. 66
4.4%
33 Agriculture 188
12.5%
34 Forestry : preservation and replanting 8
0.5%
35 Railways 9
0.6%
36 Automobile and electric transport 36
2.4%
37 Water transport 2
0.1%
38 Air transport 0
0%
39 Other transport related professions 15
1%
40 Communications personnel 8
0.5%
41 Trade personnel (salespeople) 85
5.6%
42 Public utilities and services personnel 96
6.4%
43 Janitors, sick-nurses, etc. 14
0.9%
44 Other physical labor related professions 134
8.9%
45 Unspecified profession (vague job definition) 115
7.6%
46 student/in the army 179
11.9%
47 never worked 144
9.6%
48 unemployed 0
0%
Sysmiss 59
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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