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    Home / Central Data Catalog / LSMS / ALB_2005_LSMS_V01_M / variable [F124]
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
581020
Downloads
53843
  • Study 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) (m6a_q29a)

Data file: migrationA_cl

Overview

Valid: 6105
Invalid: 11197
Minimum: 10
Maximum: 999
Type: Discrete
Decimal: 0
Start: 241
End: 243
Width: 3
Range: 10 - 999
Format: Numeric

Questions and instructions

Categories
Value Category Cases
10 armed forces 83
1.4%
111 legislators 0
0%
112 senior government officials 1
0%
113 traditional chiefs and heads of villages 5
0.1%
114 senior officials of special-interest organisations 0
0%
121 directors and chief executives 2
0%
122 production and operations department managers 31
0.5%
123 other department managers 28
0.5%
131 general managers 1
0%
211 physicists, chemists and related professionals 12
0.2%
212 mathematicians, statisticians and related professionals 1
0%
213 computing professionals 0
0%
214 architects, engineers and related professionals 68
1.1%
221 life science professionals 26
0.4%
222 health professionals (except nursing) 49
0.8%
223 nursing and midwifery professionals 5
0.1%
231 college, university and higher education teaching profession 9
0.1%
232 secondary education teaching professionals 5
0.1%
233 primary and pre-primary education teaching professionals 207
3.4%
234 special education teaching professionals 0
0%
235 other teaching professionals 2
0%
241 business professionals 0
0%
242 legal professionals 5
0.1%
243 archivists, librarians and related information professionals 1
0%
244 social science and related professionals 72
1.2%
245 writers and creative or performing artists 12
0.2%
246 religious professionals 2
0%
311 physical and engineering science technicians 103
1.7%
312 computer associate professionals 0
0%
313 optical and electronic equipment operators 14
0.2%
314 ship and aircraft controllers and technicians 1
0%
315 safety and quality inspectors 37
0.6%
321 life science technicians and related associate professionals 17
0.3%
322 modern health associate professionals (except nursing) 16
0.3%
323 nursing and midwifery associate professionals 75
1.2%
324 traditional medicine practitioners and faith healers 0
0%
331 primary education teaching associate professionals 0
0%
332 pre-primary education teaching associate professionals 42
0.7%
333 special education teaching associate professionals 0
0%
334 other teaching associate professionals 1
0%
341 finance and sales associate professionals 12
0.2%
342 business services agents and trade brokers 0
0%
343 administrative associate professionals 95
1.6%
344 customs, tax and related government associate professionals 0
0%
345 police inspectors and detectives 0
0%
346 social work associate professionals 0
0%
347 artistic, entertainment and sports associate professionals 11
0.2%
348 religious associate professionals 0
0%
411 secretaries and keyboard-operating clerks 2
0%
412 numerical clerks 4
0.1%
413 material-recording and transport clerks 51
0.8%
414 library, mail and related clerks 11
0.2%
419 other office clerks 0
0%
421 cashiers, tellers and related clerks 10
0.2%
422 client information clerks 7
0.1%
511 travel attendants and related workers 2
0%
512 housekeeping and restaurant services workers 58
1%
513 personal care and related workers 0
0%
514 other personal services workers 10
0.2%
515 astrologers, fortune-tellers and related workers 0
0%
516 protective services workers 43
0.7%
521 fashion and other models 0
0%
522 shop salespersons and demonstrators 58
1%
523 stall and market salespersons 16
0.3%
611 market gardeners and crop growers 2790
45.7%
612 market-oriented animal producers and related workers 79
1.3%
613 market-oriented crop and animal producers 0
0%
614 forestry and related workers 23
0.4%
615 fishery workers, hunters and trappers 3
0%
621 subsistence agricultural and fishery workers 0
0%
711 miners, shotfirers, stone cutters and carvers 103
1.7%
712 building frame and related trades workers 105
1.7%
713 building finishers and related trades workers 141
2.3%
714 painters, building structure cleaners and related trades workers 9
0.1%
721 metal moulders, welders, sheet-metal workers, structural-metal 31
0.5%
722 blacksmiths, tool-makers and related trades workers 32
0.5%
723 machinery mechanics and fitters 222
3.6%
724 electrical and electronic equipment mechanics and fitters 8
0.1%
731 precision workers in metal and related materials 4
0.1%
732 potters, glass-makers and related trades workers 0
0%
733 handicraft workers in wood,textile, leather and related materials 58
1%
734 printing and related trades workers 4
0.1%
741 food processing and related trades workers 23
0.4%
742 wood treaters, cabinet-makers and related trades workers 49
0.8%
743 textile, garment and related trades workers 99
1.6%
744 pelt, leather and shoemaking trades workers 8
0.1%
811 mining- and mineral-processing plant operators 47
0.8%
812 metal-processing-plant operators 24
0.4%
813 glass, ceramics and related plant operators 11
0.2%
814 wood-processing- and papermaking-plant operators 18
0.3%
815 chemical-processing-plant operators 10
0.2%
816 power-production and related plant operators 14
0.2%
817 automated-assembly-line and industrial-robot operators 0
0%
821 metal- and mineral-products machine operators 43
0.7%
822 chemical-products machine operators 0
0%
823 rubber- and plastic-products machine operators 6
0.1%
824 wood-products machine operators 4
0.1%
825 printing-, binding- and paper-products machine operators 7
0.1%
826 textile-, fur- and leather-products machine operators 116
1.9%
827 food and related products machine operators 67
1.1%
828 assemblers 17
0.3%
829 other machine operators and assemblers 0
0%
831 locomotive-engine drivers and related workers 11
0.2%
832 motor-vehicle drivers 181
3%
833 agricultural and other mobile-plant operators 48
0.8%
834 ships' deck crews and related workers 1
0%
911 street vendors and related workers 11
0.2%
912 shoe cleaning and other street services elementary occupations 1
0%
913 domestic and related helpers, cleaners and launderers 85
1.4%
914 building caretakers, window and related cleaners 35
0.6%
915 messengers, porters, doorkeepers and related workers 1
0%
916 garbage collectors and related labourers 15
0.2%
921 agricultural, fishery and related labourers 1
0%
931 mining and construction labourers 63
1%
932 manufacturing labourers 32
0.5%
933 transport labourers and freight handlers 47
0.8%
999 not coded 75
1.2%
Sysmiss 11197
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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