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    Home / Central Data Catalog / LSMS / NPL_2003_LSS-II_V01_M / variable [F46]
lsms

Living Standards Survey 2003-2004, Second Round

Nepal, 2003 - 2004
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Reference ID
NPL_2003_LSS-II_v01_M
Producer(s)
Central Bureau of Statistics (CBS)
Collection(s)
Living Standards Measurement Study (LSMS)
Metadata
Documentation in PDF DDI/XML JSON
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Created on
Mar 23, 2011
Last modified
Jan 30, 2020
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  • Study Description
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  • 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

V11C2B_03C C (r2_ft_crop_c)

Data file: R2_Z11C2B_InsectFertilXpns2

Overview

Valid: 1333
Invalid: 5737
Type: Discrete
Decimal: 0
Start: 17
End: 18
Width: 2
Range: 1 - 67
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 early paddy 16
1.2%
2 main paddy 138
10.4%
3 upland paddy 4
0.3%
4 wheat 188
14.1%
5 spring/winter maize 34
2.6%
6 summer maize 190
14.3%
7 millet 90
6.8%
8 barley 2
0.2%
9 buckwheat 2
0.2%
10 other cereals 0
0%
11 soyabeans 0
0%
12 black gram 1
0.1%
13 red gram 1
0.1%
14 grass pea 0
0%
15 lentil 93
7%
16 gram 0
0%
17 pea 4
0.3%
18 green gram 2
0.2%
19 coarse gram 0
0%
20 cow pea 2
0.2%
21 other legumes 5
0.4%
22 winter potato 202
15.2%
23 summer potato 44
3.3%
24 sweet potato 0
0%
25 colocasia 0
0%
26 other tubers 0
0%
27 mustard 79
5.9%
28 ground nut 0
0%
29 linseed 4
0.3%
30 sesame 1
0.1%
31 other oilseeds 0
0%
32 sugar cane 29
2.2%
33 jute 8
0.6%
34 tobacco 0
0%
35 other 0
0%
36 chillies 1
0.1%
37 onions 12
0.9%
38 garlic 2
0.2%
39 ginger 0
0%
40 turmeric 0
0%
41 cardamum 0
0%
42 coriander seed 2
0.2%
43 other spices 1
0.1%
44 winter vegetables 97
7.3%
45 summer vegetables 72
5.4%
46 orange 0
0%
47 lemon 0
0%
48 lime 0
0%
49 sweet lime 0
0%
50 other citrus 2
0.2%
51 mango 0
0%
52 banana 2
0.2%
53 guava 0
0%
54 jack fruit 0
0%
55 pineapple 0
0%
56 lichee 0
0%
57 pear 0
0%
58 apple 0
0%
59 plum 0
0%
60 papaya 1
0.1%
61 pomegranate 0
0%
62 other fruit 0
0%
63 tea 0
0%
64 thatch 0
0%
65 fodder trees 2
0.2%
66 bamboo 0
0%
67 other trees 0
0%
Sysmiss 5737
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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