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
Collection(s)
Metadata
Created on
Aug 08, 2022
Last modified
Aug 08, 2022
Page views
52132
Downloads
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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
Id in crop_roster (crop_roster__id)
Data file: endline_crop_roster
Overview
Valid:
10948
Invalid:
447
Minimum:
1
Maximum:
80
Type:
Discrete
Decimal:
0
Start:
47
End:
48
Width:
2
Range:
1 - 80
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | PADDY-LOCAL | 3520 |
32.2%
|
| 2 | PADDY-IMPROVED | 750 |
6.9%
|
| 3 | WHEAT-LOCAL | 1917 |
17.5%
|
| 4 | WHEAT-IMPROVED | 464 |
4.2%
|
| 5 | MAIZE-LOCAL | 72 |
0.7%
|
| 6 | MAIZE-IMPROVED | 6 |
0.1%
|
| 7 | MILLET | 0 |
0%
|
| 8 | BARLEY | 1 |
0%
|
| 9 | BUCKWHEAT | 0 |
0%
|
| 10 | OTHER CEREALS | 2 |
0%
|
| 11 | SOYBEANS | 0 |
0%
|
| 12 | BLACK GRAM | 1 |
0%
|
| 13 | RED GRAM | 0 |
0%
|
| 14 | GRASS PEA | 12 |
0.1%
|
| 15 | LENTIL | 750 |
6.9%
|
| 16 | GRAM | 1 |
0%
|
| 17 | PEA | 12 |
0.1%
|
| 18 | GREEN GRAM | 0 |
0%
|
| 19 | COARSE GRAM | 0 |
0%
|
| 20 | COW PEA | 31 |
0.3%
|
| 21 | OTHER LEGUMES | 2 |
0%
|
| 22 | WINTER POTATO | 555 |
5.1%
|
| 23 | SUMMER POTATO | 10 |
0.1%
|
| 24 | SWEET POTATO | 0 |
0%
|
| 25 | COLOCASIA | 3 |
0%
|
| 26 | OTHER TUBERS | 5 |
0%
|
| 27 | MUSTARD | 1817 |
16.6%
|
| 28 | GROUND NUT | 0 |
0%
|
| 29 | LINSEED | 0 |
0%
|
| 30 | SESAME | 3 |
0%
|
| 31 | OTHER OILSEED | 2 |
0%
|
| 32 | SUGARCANE | 6 |
0.1%
|
| 33 | JUTE | 0 |
0%
|
| 34 | TOBACCO | 0 |
0%
|
| 35 | OTHER CASH CROPS | 0 |
0%
|
| 36 | CHILLIES | 156 |
1.4%
|
| 37 | ONIONS | 32 |
0.3%
|
| 38 | GARLIC | 108 |
1%
|
| 39 | GINGER | 0 |
0%
|
| 40 | TURMERIC | 1 |
0%
|
| 41 | CARDAMOM | 0 |
0%
|
| 42 | CORIANDER SEED | 2 |
0%
|
| 43 | OTHER SPICES | 1 |
0%
|
| 44 | CAULIFLOWER | 196 |
1.8%
|
| 45 | CABABE | 74 |
0.7%
|
| 46 | BROCCOLI | 7 |
0.1%
|
| 47 | TOMATO | 53 |
0.5%
|
| 48 | BRINGEL | 8 |
0.1%
|
| 49 | RADISH | 26 |
0.2%
|
| 50 | BITTER GUARD | 45 |
0.4%
|
| 51 | BOTTLE GUARD | 61 |
0.6%
|
| 52 | OTHER GUARDS | 2 |
0%
|
| 53 | CARROT | 1 |
0%
|
| 54 | LEAFY VEGETBLES | 43 |
0.4%
|
| 55 | CUCUMBER | 44 |
0.4%
|
| 56 | LADIES FINGER | 22 |
0.2%
|
| 57 | PUMPKIN | 14 |
0.1%
|
| 58 | AMARANTHUS | 20 |
0.2%
|
| 59 | ORANGE | 0 |
0%
|
| 60 | LEMON | 3 |
0%
|
| 61 | LIME | 0 |
0%
|
| 62 | SWEET LIME | 0 |
0%
|
| 63 | OTHER CITRUS | 0 |
0%
|
| 64 | MANGO | 0 |
0%
|
| 65 | BANANA | 29 |
0.3%
|
| 66 | GOUVA | 0 |
0%
|
| 67 | JACK FRUIT | 0 |
0%
|
| 68 | PINEAPPLE | 0 |
0%
|
| 69 | LICHEE | 0 |
0%
|
| 70 | PEAR | 0 |
0%
|
| 71 | APPLE | 0 |
0%
|
| 72 | PLUM | 4 |
0%
|
| 73 | PAPAYA | 0 |
0%
|
| 74 | POMEGRANATE | 0 |
0%
|
| 75 | OTHER FRUITS | 3 |
0%
|
| 76 | TEA | 0 |
0%
|
| 77 | THATCH | 0 |
0%
|
| 78 | FODDER TREES | 0 |
0%
|
| 79 | BAMBOO | 0 |
0%
|
| 80 | OTHER TREES | 51 |
0.5%
|
| Sysmiss | 447 |
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.