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
VDC | ग.वि.स./नगरपालिकाः (vdc)
Data file: endline_rjk_final
Overview
Valid:
2676
Invalid:
62
Minimum:
1
Maximum:
11
Type:
Discrete
Decimal:
0
Start:
63
End:
64
Width:
2
Range:
1 - 11
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | Baliya | 19 |
0.7%
|
| 2 | Chauha | 357 |
13.3%
|
| 3 | Dansinhapur | 5 |
0.2%
|
| 4 | Durgauli | 187 |
7%
|
| 5 | Janakinagar | 188 |
7%
|
| 6 | Munuwa | 247 |
9.2%
|
| 7 | Narayanpur | 13 |
0.5%
|
| 8 | Pathariya | 333 |
12.4%
|
| 9 | Pratapapur | 50 |
1.9%
|
| 10 | Tikapur | 1274 |
47.6%
|
| 11 | Thapapur | 3 |
0.1%
|
| Sysmiss | 62 |
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.