Living Standards Survey 2003-2004, Second Round
Nepal, 2003 - 2004
Get Microdata
Reference ID
NPL_2003_LSS-II_v01_M
Producer(s)
Central Bureau of Statistics (CBS)
Collection(s)
Metadata
Created on
Mar 23, 2011
Last modified
Jan 30, 2020
Page views
193537
Downloads
36956
- Data files
- R2_Z00_SurveyInfo
- R2_Z01A_HHRoster
- R2_Z01B_Parents
- R2_Z01C_Activities
- R2_Z01D_Unemployment
- R2_Z02A_DwellingType
- R2_Z02B_HousingXpns
- R2_Z02C1_UtilsAmenities1
- R2_Z02C2_UtilsAmenities2
- R2_Z02D_WaterFirewood1
- R2_Z03_FacilitAxs
- R2_Z04_Migration
- R2_Z05A_FoodHProdXpns1
- R2_Z05B_FoodHProdXpns2
- R2_Z06A_FreqNFoodXpns
- R2_Z06B_InfreqNFoodXpns
- R2_Z06C_Durables
- R2_Z06D_GoodsHProd
- R2_Z07A_Literacy
- R2_Z07B_PastEnroll
- R2_Z07C_CurrEnroll
- R2_Z08A_ChronIllnes
- R2_Z08B1_InjuryIllnes
- R2_Z08B2_InjuryIllnes2
- R2_Z08C_Immunizations
- R2_Z09A1_MaternHistory
- R2_Z09A2_MaternHistory
- R2_Z09B_PrePostNatCare
- R2_Z09C_FamPlanning
- R2_Z10A1_WgEmplmntAgri
- R2_Z10A2_WgEmplmntAgri2
- R2_Z10B1_WgEmplmntNAgri
- R2_Z10B2_WgEmplmntNAgri2
- R2_Z11A1A_LandOwned
- R2_Z11A1B_LandOwned2
- R2_Z11A1C_LandOwned3
- R2_Z11A2A_LandShrCrop
- R2_Z11A2B_LandShrCrop2
- R2_Z11A2C_LandShrCrop3
- R2_Z11A3_LandIncrDecr
- R2_Z11B1_FarmProduction
- R2_Z11B2_FarmProduction2
- R2_Z11C1A_SeedsPlantsXpns
- R2_Z11C1B_SeedsPlantsXpns2
- R2_Z11C2A_InsectFertilXpns
- R2_Z11C2B_InsectFertilXpns2
- R2_Z11C2C_InsectFertilXpns3
- R2_Z11C3A_FarmLaborXpns1
- R2_Z11C3B_FarmLaborXpns2
- R2_Z11C3C_FarmLaborXpns3
- R2_Z11D_AgriEarningXpns
- R2_Z11E1A_OwnLivestock
- R2_Z11E1B_OwnLivestock2
- R2_Z11E2_EarnLivestock
- R2_Z11F1_OwnFarmAssets
- R2_Z11F2_OwnFarmAssets2
- R2_Z11F3_AgriExtension
- R2_Z12A1_NAgriActivity
- R2_Z12A2_NAgriActivity2
- R2_Z12A3_NAgriActivity3
- R2_Z12B_NAgriIncome
- R2_Z13A1_Borrowing
- R2_Z13A2_Borrowing2
- R2_Z13A3_Borrowing3
- R2_Z13B1_Lending1
- R2_Z13B2_Lending2
- R2_Z13B3_Lending3
- R2_Z13C_HHAssets
- R2_Z14A1_RemitnsSent
- R2_Z14A2_RemitnsSent2
- R2_Z14B1_RemitnsGot
- R2_Z14B2_RemitnsGot2
- R2_Z15_HHOtherInc
- R2_Z16A_ChildrenAway
- R2_Z16B_ChildrenAway2
- R2_Z17_ConsumAdequacy
- R2_Z17_ConsumAdequacy_
- R2_Z18A_PanelTrack
- R2_Z18B_PanelTrack2
- sample
- sample_adj
- sample_unadj
- c2_nlss_public
- c2_nlss_worldbank
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.