Complementarities of Irrigation and Extension Services Impact Evaluation 2016-2019, Baseline and Endline
Nepal, 2016 - 2020
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Aug 09, 2022
Last modified
Aug 09, 2022
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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
Which sub canal? (e_4_8A)
Data file: endline_plot_roster
Overview
Valid:
3194
Invalid:
1923
Minimum:
101
Maximum:
315
Type:
Discrete
Decimal:
0
Start:
74
End:
76
Width:
3
Range:
101 - 315
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 101 | DHARAMPUR | 70 |
2.2%
|
| 102 | KUNTIPATHBHAR | 19 |
0.6%
|
| 103 | SUBARNAPUR | 50 |
1.6%
|
| 104 | JAGATPUR | 84 |
2.6%
|
| 105 | BIJULIYA | 235 |
7.4%
|
| 106 | LIPUR | 3 |
0.1%
|
| 107 | BHAGATPUR | 44 |
1.4%
|
| 108 | MOTINAGAR | 57 |
1.8%
|
| 109 | BIRENDRA | 8 |
0.3%
|
| 110 | GYANI | 248 |
7.8%
|
| 111 | MAKRI | 39 |
1.2%
|
| 112 | RAMPUR KATANPUR | 43 |
1.3%
|
| 113 | GHIYA BHARATPUR | 50 |
1.6%
|
| 201 | AMARAWOTI | 125 |
3.9%
|
| 202 | KHAIRAPHANTA | 27 |
0.8%
|
| 203 | BHADAWA | 94 |
2.9%
|
| 204 | BHAGRAIYA | 113 |
3.5%
|
| 205 | ATHARIYA | 76 |
2.4%
|
| 206 | BHOKSE | 85 |
2.7%
|
| 207 | KHAGRAULI | 131 |
4.1%
|
| 208 | BADKA | 26 |
0.8%
|
| 209 | BICHKI | 14 |
0.4%
|
| 210 | RORA | 228 |
7.1%
|
| 211 | SAIR TRAHAN | 21 |
0.7%
|
| 212 | MAHUWAN | 37 |
1.2%
|
| 213 | ASNERI | 94 |
2.9%
|
| 214 | WEST SHANKARPUR | 0 |
0%
|
| 301 | RAJIPUR | 87 |
2.7%
|
| 302 | FIRELINE | 17 |
0.5%
|
| 303 | BISTATOLE | 10 |
0.3%
|
| 304 | SATGAUNWA | 78 |
2.4%
|
| 305 | NUKLIPUR SAHIPUR | 23 |
0.7%
|
| 306 | MAHURINYA | 110 |
3.4%
|
| 307 | BASANTA | 112 |
3.5%
|
| 308 | INDRIYA | 49 |
1.5%
|
| 309 | NARAYANPUR | 36 |
1.1%
|
| 310 | SIMRENI SATI PADAMPUR | 60 |
1.9%
|
| 311 | BELUWA | 109 |
3.4%
|
| 312 | JUNG | 182 |
5.7%
|
| 313 | SURYAPUR | 57 |
1.8%
|
| 314 | BAUNIYA | 161 |
5%
|
| 315 | BATANPUR | 82 |
2.6%
|
| Sysmiss | 1923 |
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.