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_crop_roster
Overview
Valid:
7199
Invalid:
4196
Minimum:
101
Maximum:
315
Type:
Discrete
Decimal:
0
Start:
165
End:
167
Width:
3
Range:
101 - 315
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 101 | DHARAMPUR | 179 |
2.5%
|
| 102 | KUNTIPATHBHAR | 44 |
0.6%
|
| 103 | SUBARNAPUR | 123 |
1.7%
|
| 104 | JAGATPUR | 180 |
2.5%
|
| 105 | BIJULIYA | 531 |
7.4%
|
| 106 | LIPUR | 8 |
0.1%
|
| 107 | BHAGATPUR | 105 |
1.5%
|
| 108 | MOTINAGAR | 119 |
1.7%
|
| 109 | BIRENDRA | 22 |
0.3%
|
| 110 | GYANI | 581 |
8.1%
|
| 111 | MAKRI | 95 |
1.3%
|
| 112 | RAMPUR KATANPUR | 92 |
1.3%
|
| 113 | GHIYA BHARATPUR | 109 |
1.5%
|
| 201 | AMARAWOTI | 297 |
4.1%
|
| 202 | KHAIRAPHANTA | 74 |
1%
|
| 203 | BHADAWA | 243 |
3.4%
|
| 204 | BHAGRAIYA | 283 |
3.9%
|
| 205 | ATHARIYA | 188 |
2.6%
|
| 206 | BHOKSE | 261 |
3.6%
|
| 207 | KHAGRAULI | 319 |
4.4%
|
| 208 | BADKA | 62 |
0.9%
|
| 209 | BICHKI | 32 |
0.4%
|
| 210 | RORA | 518 |
7.2%
|
| 211 | SAIR TRAHAN | 49 |
0.7%
|
| 212 | MAHUWAN | 79 |
1.1%
|
| 213 | ASNERI | 224 |
3.1%
|
| 214 | WEST SHANKARPUR | 0 |
0%
|
| 301 | RAJIPUR | 166 |
2.3%
|
| 302 | FIRELINE | 33 |
0.5%
|
| 303 | BISTATOLE | 18 |
0.3%
|
| 304 | SATGAUNWA | 165 |
2.3%
|
| 305 | NUKLIPUR SAHIPUR | 48 |
0.7%
|
| 306 | MAHURINYA | 219 |
3%
|
| 307 | BASANTA | 225 |
3.1%
|
| 308 | INDRIYA | 112 |
1.6%
|
| 309 | NARAYANPUR | 71 |
1%
|
| 310 | SIMRENI SATI PADAMPUR | 104 |
1.4%
|
| 311 | BELUWA | 234 |
3.3%
|
| 312 | JUNG | 354 |
4.9%
|
| 313 | SURYAPUR | 121 |
1.7%
|
| 314 | BAUNIYA | 336 |
4.7%
|
| 315 | BATANPUR | 176 |
2.4%
|
| Sysmiss | 4196 |
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.