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    Home / Central Data Catalog / LSMS / ALB_2005_LSMS_V01_M / variable [F122]
lsms

Living Standards Measurement Survey 2005

Albania, 2005
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Reference ID
ALB_2005_LSMS_v01_M
DOI
https://doi.org/10.48529/kzst-d297
Producer(s)
Institute of Statistics of Albania
Collection(s)
Living Standards Measurement Study (LSMS)
Metadata
Documentation in PDF DDI/XML JSON
Study website Interactive tools
Created on
Mar 23, 2011
Last modified
Jan 30, 2020
Page views
538152
Downloads
52631
  • Study Description
  • Data Description
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  • Data files
  • agriculture_hhlevel
  • filters
  • identification
  • part1_roster_a
  • part1_roster_b
  • part2_roster
  • part3_roster
  • part4_roster
  • part5_roster
  • part6_roster
  • part7_roster
  • part8_roster_a
  • part8_roster_b
  • part9_roster_a
  • part9_roster_b
  • part10_roster
  • part11_roster
  • bookbread_cl
  • bookchecklist_cl
  • bookdaily_cl
  • bookfoodeaten_cl
  • bookmetadata_cl
  • booknonpurchased_cl
  • community_all
  • community_dups
  • check_form_food_cl
  • communication_cl
  • communication_mobile_cl
  • dwellingA_cl
  • dwellingB_cl
  • dwellingC1_cl
  • dwellingC2_cl
  • dwellingC3_cl
  • educationA_cl
  • educationB_cl
  • educationC_cl
  • fertility_cl
  • filters_cl
  • healthA_cl
  • healthB_cl
  • household_rosterA_cl
  • household_rosterB_cl
  • id_agric_household_animals_cl
  • id_agric_household_cl
  • identification_cl
  • labourA_cl
  • labourB_cl
  • labourC_cl
  • labourD_cl
  • migrationA_cl
  • migrationB_cl
  • migrationB2_cl
  • migrationC_cl
  • migrationD_cl
  • migrationD2_cl
  • migrationE_cl
  • non_farm_business_cl
  • non_farm_business_first_cl
  • non_food_expendituresA_cl
  • non_food_expendituresB_cl
  • non_food_expendituresC_cl
  • other_income_cl
  • poverty
  • social_assistance_cl
  • social_capital_cl
  • subjective_poverty_cl
  • weights_cl
  • weights_psu

Occupation Code (English) (m4c_q1c)

Data file: labourC_cl

Overview

Valid: 5803
Invalid: 0
Minimum: 10
Maximum: 933
Type: Discrete
Decimal: 0
Start: 55
End: 57
Width: 3
Range: 10 - 933
Format: Numeric

Questions and instructions

Categories
Value Category Cases
10 armed forces 38
0.7%
111 legislators 1
0%
112 senior government officials 2
0%
113 traditional chiefs and heads of villages 4
0.1%
114 senior officials of special-interest organisations 1
0%
121 directors and chief executives 20
0.3%
122 production and operations department managers 93
1.6%
123 other department managers 28
0.5%
131 general managers 22
0.4%
211 physicists, chemists and related professionals 3
0.1%
212 mathematicians, statisticians and related professionals 4
0.1%
213 computing professionals 3
0.1%
214 architects, engineers and related professionals 66
1.1%
221 life science professionals 9
0.2%
222 health professionals (except nursing) 39
0.7%
223 nursing and midwifery professionals 12
0.2%
231 college, university and higher education teaching profession 14
0.2%
232 secondary education teaching professionals 27
0.5%
233 primary and pre-primary education teaching professionals 192
3.3%
234 special education teaching professionals 1
0%
235 other teaching professionals 2
0%
241 business professionals 1
0%
242 legal professionals 17
0.3%
243 archivists, librarians and related information professionals 3
0.1%
244 social science and related professionals 93
1.6%
245 writers and creative or performing artists 20
0.3%
246 religious professionals 3
0.1%
311 physical and engineering science technicians 44
0.8%
312 computer associate professionals 2
0%
313 optical and electronic equipment operators 14
0.2%
314 ship and aircraft controllers and technicians 1
0%
315 safety and quality inspectors 20
0.3%
321 life science technicians and related associate professionals 15
0.3%
322 modern health associate professionals (except nursing) 4
0.1%
323 nursing and midwifery associate professionals 82
1.4%
324 traditional medicine practitioners and faith healers 0
0%
331 primary education teaching associate professionals 0
0%
332 pre-primary education teaching associate professionals 28
0.5%
333 special education teaching associate professionals 0
0%
334 other teaching associate professionals 0
0%
341 finance and sales associate professionals 89
1.5%
342 business services agents and trade brokers 2
0%
343 administrative associate professionals 46
0.8%
344 customs, tax and related government associate professionals 13
0.2%
345 police inspectors and detectives 0
0%
346 social work associate professionals 0
0%
347 artistic, entertainment and sports associate professionals 12
0.2%
348 religious associate professionals 0
0%
411 secretaries and keyboard-operating clerks 7
0.1%
412 numerical clerks 2
0%
413 material-recording and transport clerks 28
0.5%
414 library, mail and related clerks 6
0.1%
419 other office clerks 0
0%
421 cashiers, tellers and related clerks 33
0.6%
422 client information clerks 7
0.1%
511 travel attendants and related workers 6
0.1%
512 housekeeping and restaurant services workers 176
3%
513 personal care and related workers 3
0.1%
514 other personal services workers 27
0.5%
515 astrologers, fortune-tellers and related workers 0
0%
516 protective services workers 86
1.5%
521 fashion and other models 0
0%
522 shop salespersons and demonstrators 247
4.3%
523 stall and market salespersons 75
1.3%
611 market gardeners and crop growers 2200
37.9%
612 market-oriented animal producers and related workers 184
3.2%
613 market-oriented crop and animal producers 0
0%
614 forestry and related workers 4
0.1%
615 fishery workers, hunters and trappers 8
0.1%
621 subsistence agricultural and fishery workers 0
0%
711 miners, shotfirers, stone cutters and carvers 29
0.5%
712 building frame and related trades workers 240
4.1%
713 building finishers and related trades workers 281
4.8%
714 painters, building structure cleaners and related trades workers 27
0.5%
721 metal moulders, welders, sheet-metal workers, structural-metal 49
0.8%
722 blacksmiths, tool-makers and related trades workers 7
0.1%
723 machinery mechanics and fitters 86
1.5%
724 electrical and electronic equipment mechanics and fitters 7
0.1%
731 precision workers in metal and related materials 3
0.1%
732 potters, glass-makers and related trades workers 0
0%
733 handicraft workers in wood,textile, leather and related materials 2
0%
734 printing and related trades workers 0
0%
741 food processing and related trades workers 26
0.4%
742 wood treaters, cabinet-makers and related trades workers 56
1%
743 textile, garment and related trades workers 86
1.5%
744 pelt, leather and shoemaking trades workers 8
0.1%
811 mining- and mineral-processing plant operators 18
0.3%
812 metal-processing-plant operators 10
0.2%
813 glass, ceramics and related plant operators 4
0.1%
814 wood-processing- and papermaking-plant operators 7
0.1%
815 chemical-processing-plant operators 6
0.1%
816 power-production and related plant operators 9
0.2%
817 automated-assembly-line and industrial-robot operators 0
0%
821 metal- and mineral-products machine operators 9
0.2%
822 chemical-products machine operators 2
0%
823 rubber- and plastic-products machine operators 1
0%
824 wood-products machine operators 0
0%
825 printing-, binding- and paper-products machine operators 4
0.1%
826 textile-, fur- and leather-products machine operators 37
0.6%
827 food and related products machine operators 11
0.2%
828 assemblers 2
0%
829 other machine operators and assemblers 0
0%
831 locomotive-engine drivers and related workers 7
0.1%
832 motor-vehicle drivers 241
4.2%
833 agricultural and other mobile-plant operators 21
0.4%
834 ships' deck crews and related workers 0
0%
911 street vendors and related workers 20
0.3%
912 shoe cleaning and other street services elementary occupations 1
0%
913 domestic and related helpers, cleaners and launderers 94
1.6%
914 building caretakers, window and related cleaners 84
1.4%
915 messengers, porters, doorkeepers and related workers 3
0.1%
916 garbage collectors and related labourers 18
0.3%
921 agricultural, fishery and related labourers 0
0%
931 mining and construction labourers 51
0.9%
932 manufacturing labourers 14
0.2%
933 transport labourers and freight handlers 33
0.6%
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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