Living Standards Survey 1995-1996
Nepal, 1995 - 1996
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Reference ID
NPL_1995-1996_LSS-BL_v01_EN_M_v01_A_OCS
Producer(s)
Central Bureau of Statistics (CBS)
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Metadata
Created on
Oct 05, 2020
Last modified
Jan 26, 2023
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- Data files
- R1_Z00_SurveyInfo
- R1_Z01B_Parents
- R1_Z01C_Activities
- R1_Z01D_Unemployment
- R1_Z02A_DwellingType
- R1_Z02B_HousingXpns
- R1_Z02C1_UtilsAmenities1
- R1_Z02C2_UtilsAmenities2
- R1_Z02D1_WaterFirewood1
- R1_Z02D2_WaterFirewood2
- R1_Z03_FacilitAxs
- R1_Z04_Migration
- R1_Z05A_FoodHProdXpns1
- R1_Z05B_FoodHProdXpns2
- R1_Z06A_FreqNFoodXpns
- R1_Z06B_InfreqNFoodXpns
- R1_Z06C_Durables
- R1_Z07A_Literacy
- R1_Z07B_PastEnroll
- R1_Z07C1_CurrEnroll
- R1_Z07C2_CurrEnroll2
- R1_Z08A_ChronIllnes
- R1_Z08B1_InjuryIllnes
- R1_Z08B2_InjuryIllnes2
- R1_Z08C_Immunizations
- R1_Z09_Anthropometrics
- R1_Z10A1_MaternHistory
- R1_Z10A2_MaternHistory
- R1_Z10B_PrePostNatCare
- R1_Z10C_FamPlanning
- R1_Z11A1_WgEmplmntAgri
- R1_Z11A2_WgEmplmntAgri2
- R1_Z11B1_WgEmplmntNAgri
- R1_Z11B2_WgEmplmntNAgri2
- R1_Z12A1A_LandOwned
- R1_Z12A1B_LandOwned2
- R1_Z12A1C_LandOwned3
- R1_Z12A1D_LandOwned4
- R1_Z12A2A_LandShrCrop
- R1_Z12A2B_LandShrCrop2
- R1_Z12A2C_LandShrCrop3
- R1_Z12A3_LandIncrDecr
- R1_Z12B1_FarmProduction
- R1_Z12B2_FarmProduction2
- R1_Z12C1A_SeedsPlantsXpns
- R1_Z12C1B_SeedsPlantsXpns2
- R1_Z12C2A_InsectFertilXpns
- R1_Z12C2B_InsectFertilXpns2
- R1_Z12C2C_InsectFertilXpns3
- R1_Z12C3A_FarmLaborXpns1
- R1_Z12C3B_FarmLaborXpns2
- R1_Z12C3C_FarmLaborXpns3
- R1_Z12D_AgriEarningXpns
- R1_Z12E1A_OwnLivestock
- R1_Z12E1B_OwnLivestock2
- R1_Z12E2_EarnLivestock
- R1_Z12F_OwnFarmAssets
- R1_Z12G_AgriExtension
- R1_Z13A1_NAgriActivity
- R1_Z13A2_NAgriActivity2
- R1_Z13A3_NAgriActivity3
- R1_Z13B_NAgriIncome
- R1_Z14A1_Borrowing
- R1_Z14A2_Borrowing2
- R1_Z14A3_Borrowing3
- R1_Z14B1_Lending1
- R1_Z14B2_Lending2
- R1_Z14B3_Lending3
- R1_Z14C_HHAssets
- R1_Z15A1_RemitnsSent
- R1_Z15A2_RemitnsSent2
- R1_Z15B1_RemitnsGot
- R1_Z15B2_RemitnsGot2
- R1_Z16_HHOtherInc
- R1_Z17_ConsumAdequacy
- sample_hh
- sample96
- RCOM1A1
- RCOM1A2
- RCOM1A3
- RCOM1A4
- RCOM1B
- RCOM1C
- RCOM2A
- RCOM2B1
- RCOM2B2
- RCOM2C1
- RCOM2C2
- RCOM3A1
- RCOM3A2
- RCOM3B
- RCOM3C1
- RCOM3C2
- RCOM3D
- RCOM3E
- RCOM4A1
- RCOM4A2
- RCOM4B1
- RCOM4B2
- RCOM5A
- RCOM5B1
- RCOM5B2
- RCOM5C1
- RCOM5C2
- RCOM5D
- RCOM6A
- RCOM6B
- RCOM6C
- RCOM7A
- RCOM7B
- RCOM7C1
- RCOM7C2
- RCOM7D
- RCOM8A
- RCOM8B
- RCOM8C1
- RCOM8C2
- RCOM8C3
- RCOM8D
- SAMPLE
- UCOM1A1
- UCOM1A2
- UCOM1A3
- UCOM1A4
- UCOM1B
- UCOM1C1
- UCOM1C2
- UCOM2
- UCOM3A
- UCOM3B
- UCOM4
- c1_nlss_public
- R1_Z01A_HHRoster
District go to (v4a04a)
Data file: RCOM4A2
Overview
Valid:
251
Invalid:
4
Type:
Discrete
Decimal:
0
Start:
33
End:
34
Width:
2
Range:
1 - 86
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | TAPLEJUN | 0 |
0%
|
| 2 | PANCHTHA | 1 |
0.4%
|
| 3 | ILAM | 0 |
0%
|
| 4 | JHAPA | 1 |
0.4%
|
| 5 | MORANG | 6 |
2.4%
|
| 6 | SUNSARI | 2 |
0.8%
|
| 7 | DHANKUTA | 1 |
0.4%
|
| 8 | TEHRATHU | 0 |
0%
|
| 9 | SANKHUWA | 0 |
0%
|
| 10 | BHOJPUR | 0 |
0%
|
| 11 | SOLUKHUM | 1 |
0.4%
|
| 12 | OKHALDHU | 2 |
0.8%
|
| 13 | KHOTANG | 0 |
0%
|
| 14 | UDAYAPUR | 0 |
0%
|
| 15 | SAPTARI | 0 |
0%
|
| 16 | SIRAHA | 3 |
1.2%
|
| 17 | DHANUSHA | 3 |
1.2%
|
| 18 | MAHOTTAR | 0 |
0%
|
| 19 | SARLAHI | 0 |
0%
|
| 20 | SINDHULI | 1 |
0.4%
|
| 21 | RAMECHHA | 0 |
0%
|
| 22 | DOLAKHA | 1 |
0.4%
|
| 23 | SINDHUPA | 0 |
0%
|
| 24 | KAVREPAL | 3 |
1.2%
|
| 25 | LALITPUR | 0 |
0%
|
| 26 | BHAKTAPU | 1 |
0.4%
|
| 27 | KATHMAND | 56 |
22.3%
|
| 28 | NUWAKOT | 1 |
0.4%
|
| 29 | RASUWA | 0 |
0%
|
| 30 | DHADING | 0 |
0%
|
| 31 | MAKWANPU | 0 |
0%
|
| 32 | RAUTAHAT | 1 |
0.4%
|
| 33 | BARA | 2 |
0.8%
|
| 34 | PARSA | 1 |
0.4%
|
| 35 | CHITWAN | 10 |
4%
|
| 36 | GORKHA | 0 |
0%
|
| 37 | LAMJUNG | 1 |
0.4%
|
| 38 | TANAHU | 0 |
0%
|
| 39 | SYANGJA | 0 |
0%
|
| 40 | KASKI | 3 |
1.2%
|
| 41 | MANANG | 0 |
0%
|
| 42 | MASTANG | 1 |
0.4%
|
| 43 | MYAGDI | 0 |
0%
|
| 44 | PARBAT | 0 |
0%
|
| 45 | BAGLUNG | 0 |
0%
|
| 46 | GULMI | 0 |
0%
|
| 47 | PALPA | 1 |
0.4%
|
| 48 | NAWALPAR | 0 |
0%
|
| 49 | RUPANDEH | 7 |
2.8%
|
| 50 | KAPILBAS | 0 |
0%
|
| 51 | ARGHAKHA | 0 |
0%
|
| 52 | PYUTHAN | 0 |
0%
|
| 53 | ROLPA | 0 |
0%
|
| 54 | RUKUM | 0 |
0%
|
| 55 | SALYAN | 0 |
0%
|
| 56 | DANG | 2 |
0.8%
|
| 57 | BANKE | 2 |
0.8%
|
| 58 | BARDIYA | 0 |
0%
|
| 59 | SURKHET | 0 |
0%
|
| 60 | DAILEKHA | 0 |
0%
|
| 61 | JAJARKOT | 2 |
0.8%
|
| 62 | DOLPA | 0 |
0%
|
| 63 | JUMLA | 0 |
0%
|
| 64 | KALIKOT | 0 |
0%
|
| 65 | MUGU | 0 |
0%
|
| 66 | HUMLA | 0 |
0%
|
| 67 | BAJURA | 0 |
0%
|
| 68 | BAJHANG | 0 |
0%
|
| 69 | ACHHAM | 0 |
0%
|
| 70 | DOTI | 1 |
0.4%
|
| 71 | KAILALI | 1 |
0.4%
|
| 72 | KANCHANP | 1 |
0.4%
|
| 73 | DADHELDH | 0 |
0%
|
| 74 | BAITADI | 0 |
0%
|
| 75 | DARCHULA | 1 |
0.4%
|
| 81 | INDIA | 126 |
50.2%
|
| 82 | BHUTAN | 1 |
0.4%
|
| 83 | TIBET | 0 |
0%
|
| 84 | BANGLADE | 0 |
0%
|
| 85 | MIDDLE E | 1 |
0.4%
|
| 86 | OTHER CO | 3 |
1.2%
|
| Sysmiss | 4 |
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.