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    Home / Central Data Catalog / NPL_2016-2019_CIESIE_V01_M / variable [F13]
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Complementarities of Irrigation and Extension Services Impact Evaluation 2016-2019, Baseline and Endline

Nepal, 2016 - 2020
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Reference ID
NPL_2016-2019_CIESIE_v01_M
Producer(s)
Paul Christian
Metadata
DDI/XML JSON
Created on
Aug 09, 2022
Last modified
Aug 09, 2022
Page views
34880
Downloads
136
  • Study Description
  • Data Dictionary
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  • Data files
  • baseline_sectiona
  • baseline_sectionb
  • baseline_sectionc
  • baseline_sectiond
  • baseline_sectione1
  • baseline_sectione2
  • baseline_sectione3
  • baseline_sectione4
  • baseline_sectione5
  • baseline_sectione6
  • baseline_sectione7
  • baseline_sectione8
  • baseline_sectione9
  • baseline_sectione10
  • baseline_sectionf
  • baseline_sectionf_7
  • baseline_sectionf2_1
  • baseline_sectionf2_2
  • baseline_sectionf2_3
  • baseline_sectionf2_4
  • baseline_sectionf2_5
  • baseline_sectionf2_6
  • baseline_sectionf2_7
  • baseline_sectionf2_8
  • baseline_sectionf2_9
  • baseline_sectionf2_10
  • baseline_sectionf2_11
  • baseline_sectionf2_12
  • baseline_sectionf2_13
  • baseline_sectionf2_14
  • baseline_sectionf2_15
  • baseline_sectiong
  • baseline_sectionh
  • baseline_sectionh_1
  • endline_crop_roster
  • endline_crop_sale
  • endline_donor_roster
  • endline_e_1
  • endline_external_training
  • endline_f1_roster
  • endline_f2_roster
  • endline_f3_roster.dta
  • endline_f4_roster
  • endline_f5_roster
  • endline_f6_roster
  • endline_f7_roster
  • endline_f8_roster
  • endline_f9_roster
  • endline_f10_roster
  • endline_f11_roster
  • endline_f12_roster
  • endline_f13_roster
  • endline_f14_roster
  • endline_f15_roster
  • endline_f16_roster
  • endline_fg_roster
  • endline_food_roster
  • endline_hh_roster
  • endline_income_roster
  • endline_livestock
  • endline_plot_roster
  • endline_rjk_final
  • endline_season_roster
  • endline_shock_roster
  • endline_support_roster
  • endline_tools_roster

Crop ID (e9_2)

Data file: baseline_sectione9

Overview

Valid: 19576
Invalid: 2
Minimum: -77
Maximum: 521
Type: Discrete
Decimal: 0
Start: 8
End: 10
Width: 3
Range: -77 - 521
Format: Numeric

Questions and instructions

Question pretext
E.9 Status of Harvested Crops in different Seasons
Literal question
What were all the crops you harvested in this season across all plots?
Categories
Value Category Cases
-77 1
0%
-47 1
0%
-45 1
0%
-38 1
0%
-22 1
0%
1 PADDY-LOCAL 1834
9.4%
2 PADDY-IMPROVED 1197
6.1%
3 WHEAT-LOCAL 1016
5.2%
4 WHEAT-IMPROVED 855
4.4%
5 MAIZE-LOCAL 467
2.4%
6 MAIZE-IMPROVED 426
2.2%
7 MILLET 1
0%
8 BARLEY 0
0%
9 BUCKWHEAT 1
0%
10 OTHER CEREALS 0
0%
11 SOYBEANS 4
0%
12 BLACK GRAM 80
0.4%
13 RED GRAM 1
0%
14 GRASS PEA 35
0.2%
15 LENTIL 815
4.2%
16 GRAM 6
0%
17 PEA 49
0.3%
18 GREEN GRAM 12
0.1%
19 COARSE GRAM 0
0%
20 COW PEA 455
2.3%
21 OTHER LEGUMES 76
0.4%
22 WINTER POTATO 1594
8.1%
23 SUMMER POTATO 6
0%
24 SWEET POTATO 4
0%
25 COLOCASIA 33
0.2%
26 OTHER TUBERS 4
0%
27 MUSTARD 1704
8.7%
28 GROUND NUT 2
0%
29 LINSEED 21
0.1%
30 SESAME 15
0.1%
31 OTHER OILSEED 9
0%
32 SUGARCANE 5
0%
33 JUTE 0
0%
34 TOBACCO 4
0%
35 OTHER CASH CROPS 20
0.1%
36 CHILLIES 560
2.9%
37 ONIONS 197
1%
38 GARLIC 794
4.1%
39 GINGER 3
0%
40 TURMERIC 20
0.1%
41 CARDAMOM 0
0%
42 CORIANDER SEED 3
0%
43 OTHER SPICES 46
0.2%
44 CAULIFLOWER 1114
5.7%
45 CABABE 574
2.9%
46 BROCCOLI 8
0%
47 TOMATO 307
1.6%
48 BRINGEL 71
0.4%
49 RADISH 234
1.2%
50 BITTER GUARD 956
4.9%
51 BOTTLE GUARD 1010
5.2%
52 OTHER GUARDS 189
1%
53 CARROT 6
0%
54 LEAFY VEGETBLES 748
3.8%
55 CUCUMBER 704
3.6%
56 LADIES FINGER 777
4%
57 PUMPKIN 230
1.2%
58 AMARANTHUS 202
1%
59 ORANGE 0
0%
60 LEMON 1
0%
61 LIME 0
0%
62 SWEET LIME 0
0%
63 OTHER CITRUS 0
0%
64 MANGO 3
0%
65 BANANA 24
0.1%
66 GOUVA 1
0%
67 JACK FRUIT 0
0%
68 PINEAPPLE 0
0%
69 LICHEE 0
0%
70 PEAR 0
0%
71 APPLE 0
0%
72 PLUM 0
0%
73 PAPAYA 0
0%
74 POMEGRANATE 0
0%
75 OTHER FRUITS 1
0%
76 TEA 0
0%
77 THATCH 1
0%
78 FODDER TREES 0
0%
79 BAMBOO 28
0.1%
80 OTHER TREES 2
0%
93 1
0%
94 1
0%
95 1
0%
98 1
0%
215 1
0%
521 1
0%
Sysmiss 2
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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