The World Bank Working for a World Free of Poverty Microdata Library
  • Data Catalog
  • Collections
  • Citations
  • Terms of use
  • About
  • Login
    Login
    Home / Central Data Catalog / LSMS / BGR_2001_IHS_V01_M / variable [F32]
lsms

Integrated Household Survey 2001

Bulgaria, 2001
Get Microdata
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
175877
Downloads
2547
  • Study Description
  • Data Description
  • Documentation
  • Get Microdata
  • Data files
  • 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
  • adjustedpercapitaconsumption
  • 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 at time of retirement (dis_job)

Data file: R8_4

Overview

Valid: 238
Invalid: 0
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 0
0%
2 Managers and high party officials, officials of public and other organizations 1
0.4%
3 Managers of state organizations and enterprises 0
0%
4 Engineering and technical experts 7
2.9%
5 Agronomists, veterinary, zoological, and forestry experts 1
0.4%
6 Research and Development Experts 1
0.4%
7 Managers, lecturers, teachers, etc. 5
2.1%
8 Cultural, arts, and mass communications staff 4
1.7%
9 Health care, physical education, and sports staff 5
2.1%
10 Legal Staff 0
0%
11 Security and defense staff 2
0.8%
12 Financial accounting experts, economists 7
2.9%
13 Religion 0
0%
14 Other intellectual professions 2
0.8%
15 Programmers and operators of automatic lines and systems 2
0.8%
16 Miners and related staff 5
2.1%
17 Metallurgists, foundry workers, coke production 3
1.3%
18 Wires, electric, and electronic industry 11
4.6%
19 Chemical, petrochemical and rubber industry 7
2.9%
20 Production of construction materials 1
0.4%
21 Wood yielding 0
0%
22 Wood processing 4
1.7%
23 Pulp and paper industry 0
0%
24 Glass and china industry 3
1.3%
25 Textile industry 7
2.9%
26 Tailoring 8
3.4%
27 Fur and Leather 0
0%
28 Shoe-making 1
0.4%
29 Poligraphic industry 2
0.8%
30 Food processing, soap production, and fodder production 10
4.2%
31 Energy production 1
0.4%
32 Construction and operation of forklifts, etc. 10
4.2%
33 Agriculture 36
15.1%
34 Forestry : preservation and replanting 2
0.8%
35 Railways 4
1.7%
36 Automobile and electric transport 8
3.4%
37 Water transport 0
0%
38 Air transport 0
0%
39 Other transport related professions 1
0.4%
40 Communications personnel 4
1.7%
41 Trade personnel (salespeople) 9
3.8%
42 Public utilities and services personnel 7
2.9%
43 Janitors, sick-nurses, etc. 0
0%
44 Other physical labor related professions 10
4.2%
45 Unspecified profession (vague job definition) 8
3.4%
46 student/in the army 4
1.7%
47 never worked 31
13%
48 unemployed 4
1.7%
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.
Back to Catalog
The World Bank Working for a World Free of Poverty
  • IBRD IDA IFC MIGA ICSID

© The World Bank Group, All Rights Reserved.

This site uses cookies to optimize functionality and give you the best possible experience. If you continue to navigate this website beyond this page, cookies will be placed on your browser. To learn more about cookies, click here.