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agricultural-surveys

Living Standards Survey 2003-2004

Nepal, 2003 - 2004
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Reference ID
NPL_2003_LSS-W2_v01_EN_M_v01_A_OCS
Producer(s)
Central Bureau of Statistics (CBS)
Collections
Agricultural Surveys
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Created on
Sep 24, 2020
Last modified
Jan 26, 2023
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V10B1_01B NSCO (r2_nagacnsco)

Data file: R2_Z10B1_WgEmplmntNAgri

Overview

Valid: 2535
Invalid: 1
Type: Discrete
Decimal: 0
Start: 44
End: 46
Width: 3
Range: 11 - 997
Format: Numeric

Questions and instructions

Categories
Value Category Cases
11 armed forces 7
0.3%
111 legislators 2
0.1%
112 govt officials 6
0.2%
114 officials of special 2
0.1%
121 directors/chief executives 1
0%
122 prod/operations dept managers 7
0.3%
123 other department managers 8
0.3%
131 general managers 15
0.6%
211 physicists/chemists 1
0%
212 mathematicians/statisticians 3
0.1%
213 computing professionals 1
0%
214 architects/engineers 21
0.8%
221 life science professionals 1
0%
222 health professionals 4
0.2%
223 nursing/midwifery professionals 11
0.4%
231 college/university teachers 14
0.6%
232 secondary education teachers 49
1.9%
233 primary/pre-primary teachers 48
1.9%
234 special education teachers 7
0.3%
235 other teaching professionals 6
0.2%
241 business professionals 7
0.3%
242 legal professionals 0
0%
243 archivists/librarians 0
0%
244 social science professionals 4
0.2%
245 writers/creative/artists 8
0.3%
246 religious professionals 7
0.3%
311 physical/engineering tech. 6
0.2%
312 computer associate professionals 12
0.5%
313 optical/electronic equip. operators 4
0.2%
314 aircraft controllers and tech. 0
0%
315 safety and quality inspectors 5
0.2%
321 life science technicians 6
0.2%
322 modern health associate 17
0.7%
323 nursing/midwifery associate 8
0.3%
324 traditional medicine practitioners 1
0%
331 primary teaching associate 58
2.3%
332 pre-primary teaching associate 21
0.8%
333 special education teaching associate 4
0.2%
334 other teaching asso. professionals 9
0.4%
341 finance/sales asso. professionals 8
0.3%
342 business services agent/brokers 3
0.1%
343 administrative asso. professionals 45
1.8%
344 customs/tax/related govt associate 0
0%
345 police inspectors and detectives 2
0.1%
346 social work associate professionals 11
0.4%
347 artistic/entertainment/soprts asso. 6
0.2%
348 religious associate professionals 1
0%
411 secretaries/clerks/assistants 13
0.5%
412 numerical clerks/office assistants 49
1.9%
413 material-recording/transport clerks 6
0.2%
414 library/mail/related clerks 11
0.4%
419 other office clerks/assistants 27
1.1%
421 cashiers/tellers and related clerks 8
0.3%
422 client information clerks 10
0.4%
511 travel attendants related workers 18
0.7%
512 housekeeping/restaurant workers 32
1.3%
513 personal care and related workers 12
0.5%
514 other professional services workers 5
0.2%
515 astrologers/fortune-tellers/related 0
0%
516 protective service workers 7
0.3%
521 fashion and other models 1
0%
522 shop salespersons/demonstratotrs 57
2.2%
523 stall and market salespersons 4
0.2%
611 m/o gardeners and crop growers 4
0.2%
612 m/o animal producers 6
0.2%
613 m/o crop and animal producers 0
0%
614 forestry and related workers 18
0.7%
615 fishery workers 0
0%
621 subsistence agri./fishery workers 0
0%
711 miners/shoftirers/stone cutters 33
1.3%
712 building frame/related workers 362
14.3%
713 building finishers/related workers 87
3.4%
714 painters/building structure cleaners 25
1%
721 metal moulders/welders 21
0.8%
722 blacksmiths/tool-makers 11
0.4%
723 machinery mechanics and fitters 21
0.8%
724 electrical/electronic mechanics 30
1.2%
731 precision workers in metal 14
0.6%
732 potters/glass-makers 50
2%
733 handicraft workers in wood/textile 59
2.3%
734 printing and related trades workers 6
0.2%
741 food processing & related workers 28
1.1%
742 wood treaters/cabinet-makers 74
2.9%
743 textile/garment and related workers 102
4%
744 pelt/leather and shoe making 3
0.1%
811 mining/mineral-processing plant operators 2
0.1%
812 metal-processing-plant operators 1
0%
813 glass/ceramics/relative plant operators 3
0.1%
814 wood-processing/papermaking-plant oper. 14
0.6%
815 chemical-processing-plant operators 1
0%
816 power-production/related plant operators 2
0.1%
817 automated-assembly-line/industrial-robot 0
0%
821 metal and mineral products machine oper. 5
0.2%
822 chemical-products machine operators 0
0%
823 rubber and plastic products machine oper. 3
0.1%
824 wood-products machine operators 14
0.6%
825 printing/paper products machine operators 1
0%
826 textile/fur/leather-products operators 19
0.7%
827 food/related products machine operators 12
0.5%
828 assemblers 0
0%
829 other machine operators and assemblers 4
0.2%
831 train-engine drivers/related workers 0
0%
832 motor vehicle drivers 55
2.2%
833 agricultural/other mobile-plant operators 10
0.4%
911 street vendors and related workers 7
0.3%
912 shoe cleaning/other street services 1
0%
913 domestic & related helpers/cleaners 43
1.7%
914 building caretakers/windows cleaners 37
1.5%
915 messengers/porters/doorkeepers workers 177
7%
916 garbage collectors and related labourers 17
0.7%
921 agri./fishery/related labourers 7
0.3%
931 mining/construction labourers 311
12.3%
932 manufacturing labourers 47
1.9%
933 transport labourers/freight handlers 61
2.4%
997 housewife 0
0%
Sysmiss 1
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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