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    Home / Central Data Catalog / DIME / RWA_2012-2016_LWHIE-BL-F2_V01_M / variable [F1]
dime

Land Husbandry, Water Harvesting and Hillside Irrigation Project Impact Evaluation 2012-2016, Baseline, First Follow-up and Second Follow-up Surveys

Rwanda, 2012 - 2016
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Reference ID
RWA_2012-2016_LWHIE-BL-F2_v01_M
DOI
https://doi.org/10.48529/8x0j-a598
Producer(s)
Florence Kondylis, Maria Jones, Saahil Karpe
Collection(s)
Development Impact Evaluation (DIME) Impact Evaluation Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Dec 13, 2018
Last modified
Dec 13, 2018
Page views
355818
Downloads
8064
  • Study Description
  • Data Description
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  • Data files
  • lwh_baseline1b
  • lwh_baseline1c
  • lwh_followup1
  • lwh_followup2

E.1.18 - How much did you earn in total from selling this crop? (e118_3)

Data file: lwh_baseline1b

Overview

Valid: 647
Invalid: 1315
Type: Discrete
Decimal: 0
Start: 17566
End: 17573
Width: 8
Range: -8888888 - 1200000
Format: Numeric

Questions and instructions

Categories
Value Category Cases
-8888888 Doesn't Know 0
0%
0 1
0.2%
600 2
0.3%
800 1
0.2%
900 2
0.3%
1000 4
0.6%
1020 1
0.2%
1500 3
0.5%
2000 7
1.1%
2400 3
0.5%
2500 2
0.3%
2700 1
0.2%
2800 2
0.3%
3000 12
1.9%
3200 1
0.2%
3500 2
0.3%
3750 1
0.2%
3800 1
0.2%
4000 14
2.2%
4500 2
0.3%
4800 3
0.5%
5000 17
2.6%
5500 1
0.2%
5750 1
0.2%
5800 1
0.2%
6000 18
2.8%
6250 1
0.2%
6600 1
0.2%
6800 1
0.2%
7000 6
0.9%
7200 1
0.2%
7500 8
1.2%
8000 23
3.6%
8800 1
0.2%
9000 7
1.1%
10000 25
3.9%
10400 1
0.2%
10500 7
1.1%
11000 1
0.2%
11200 1
0.2%
12000 20
3.1%
12500 1
0.2%
13500 2
0.3%
13600 1
0.2%
14000 7
1.1%
14400 3
0.5%
15000 26
4%
15400 1
0.2%
16000 8
1.2%
17000 2
0.3%
17500 2
0.3%
17600 1
0.2%
18000 3
0.5%
19000 1
0.2%
19200 1
0.2%
20000 38
5.9%
21000 3
0.5%
22500 2
0.3%
22800 1
0.2%
23000 1
0.2%
23400 1
0.2%
24000 13
2%
25000 12
1.9%
25500 1
0.2%
26000 1
0.2%
27000 1
0.2%
27400 1
0.2%
28000 4
0.6%
28800 2
0.3%
30000 42
6.5%
31000 1
0.2%
31500 1
0.2%
32000 2
0.3%
34000 1
0.2%
35000 4
0.6%
35600 1
0.2%
36000 6
0.9%
37000 1
0.2%
37500 2
0.3%
38000 1
0.2%
40000 22
3.4%
42500 1
0.2%
44000 1
0.2%
45000 9
1.4%
46000 3
0.5%
47500 1
0.2%
48000 6
0.9%
50000 20
3.1%
52000 1
0.2%
52500 1
0.2%
54000 4
0.6%
54800 1
0.2%
56000 1
0.2%
57000 1
0.2%
58000 1
0.2%
60000 22
3.4%
62500 1
0.2%
63000 2
0.3%
64000 1
0.2%
65000 1
0.2%
70000 6
0.9%
72000 4
0.6%
75000 4
0.6%
80000 13
2%
80800 1
0.2%
81000 1
0.2%
84000 1
0.2%
90000 8
1.2%
95000 1
0.2%
96000 3
0.5%
100000 15
2.3%
105000 2
0.3%
108000 2
0.3%
108300 1
0.2%
112000 1
0.2%
120000 9
1.4%
125000 1
0.2%
128000 1
0.2%
135000 1
0.2%
140000 2
0.3%
150000 5
0.8%
157500 1
0.2%
160000 5
0.8%
168000 1
0.2%
170000 1
0.2%
175000 2
0.3%
180000 4
0.6%
187000 1
0.2%
200000 8
1.2%
210000 1
0.2%
240000 7
1.1%
250000 2
0.3%
270000 2
0.3%
280000 1
0.2%
288000 1
0.2%
300000 5
0.8%
350000 1
0.2%
360000 1
0.2%
400000 4
0.6%
500000 3
0.5%
630000 1
0.2%
800000 1
0.2%
1000000 2
0.3%
1200000 1
0.2%
Sysmiss 1315
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.
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