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
107190
Downloads
771
- 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
Imagine you have a small business, if your income for one month was 50,000 Rupee (fin1)
Data file: endline_rjk_final
Overview
Valid:
2738
Invalid:
-
Minimum:
0
Maximum:
50000
Type:
Discrete
Decimal:
0
Start:
649
End:
653
Width:
5
Range:
0 - 50000
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 0 | 10 |
0.4%
|
|
| 1 | 2 |
0.1%
|
|
| 5 | 9 |
0.3%
|
|
| 10 | 68 |
2.5%
|
|
| 200 | 7 |
0.3%
|
|
| 290 | 1 |
0%
|
|
| 300 | 80 |
2.9%
|
|
| 500 | 1 |
0%
|
|
| 600 | 1 |
0%
|
|
| 1000 | 39 |
1.4%
|
|
| 1900 | 1 |
0%
|
|
| 2000 | 160 |
5.8%
|
|
| 2500 | 1 |
0%
|
|
| 2900 | 1 |
0%
|
|
| 3000 | 2217 |
81%
|
|
| 3500 | 2 |
0.1%
|
|
| 4000 | 37 |
1.4%
|
|
| 4500 | 1 |
0%
|
|
| 5000 | 54 |
2%
|
|
| 6000 | 12 |
0.4%
|
|
| 7000 | 4 |
0.1%
|
|
| 8000 | 5 |
0.2%
|
|
| 9000 | 2 |
0.1%
|
|
| 10000 | 4 |
0.1%
|
|
| 12000 | 1 |
0%
|
|
| 13000 | 1 |
0%
|
|
| 17000 | 1 |
0%
|
|
| 20000 | 3 |
0.1%
|
|
| 30000 | 4 |
0.1%
|
|
| 40000 | 4 |
0.1%
|
|
| 50000 | 5 |
0.2%
|
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.