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
33519
Downloads
210
- 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
Reasons for not using the knowledge (f2_4a)
Data file: baseline_sectionf2_12
Overview
Valid:
934
Invalid:
-
Type:
Discrete
Start:
103
End:
142
Width:
40
Range:
-
Format:
character
Questions and instructions
Literal question
SECTION F12 - PADDY BED PREPARATION
If no, could you please state reasons for not using the knowledge?
If no, could you please state reasons for not using the knowledge?
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 909 |
97.3%
|
||
| Aatma Biswas Navayera | 2 |
0.2%
|
|
| Abishwash | 1 |
0.1%
|
|
| Afule Kheti Garne | 1 |
0.1%
|
|
| Aruko Jaminma Kamai Gareko | 1 |
0.1%
|
|
| Badi Samaya Lagera | 1 |
0.1%
|
|
| Jhan Jat Le Garda | 1 |
0.1%
|
|
| Jhanjhatilo | 1 |
0.1%
|
|
| Kheti Afu Gareni | 1 |
0.1%
|
|
| Mahila Matra Vayeko Hunale | 1 |
0.1%
|
|
| Paramparagat Gardai Aayekole | 1 |
0.1%
|
|
| Sadan Shrot Ko Kami | 1 |
0.1%
|
|
| Sadan Srot Chaina | 1 |
0.1%
|
|
| Sadhan Srot Chaina | 1 |
0.1%
|
|
| Sadhan Srot Chhaina | 1 |
0.1%
|
|
| Samayema Paani Mildaina | 1 |
0.1%
|
|
| Sichaiko Abhav | 1 |
0.1%
|
|
| Sichaiko Subhida Herne | 1 |
0.1%
|
|
| Srot Sadhan Kamile | 1 |
0.1%
|
|
| Talim Pachi Dhan Ko Season Aayeko Chaina | 4 |
0.4%
|
|
| Talim Pachi Season Aayeko Chaina | 1 |
0.1%
|
|
| Tyo Samayama Birami Vayeko Thiye | 1 |
0.1%
|
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.