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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
Producer(s)
Florence Kondylis, Maria Jones, Saahil Karpe
Metadata
DDI/XML JSON
Created on
Dec 05, 2022
Last modified
Dec 05, 2022
Page views
256592

E.1.18 - How much did you earn in total from selling this crop? (e118_2)

Data file: lwh_baseline1b

Overview

Valid: 1055
Invalid: 907
Type: Discrete
Decimal: 0
Start: 17558
End: 17565
Width: 8
Range: -8888888 - 4000000
Format: Numeric

Questions and instructions

Categories
Value Category Cases
-8888888 Doesn't Know 0
0%
0 1
0.1%
16 1
0.1%
500 1
0.1%
600 1
0.1%
700 1
0.1%
750 1
0.1%
1000 5
0.5%
1200 3
0.3%
1400 1
0.1%
1500 1
0.1%
1600 1
0.1%
2000 11
1%
2100 3
0.3%
2250 1
0.1%
2400 4
0.4%
2500 7
0.7%
2800 1
0.1%
3000 9
0.9%
3200 1
0.1%
3300 1
0.1%
3500 3
0.3%
3750 1
0.1%
4000 14
1.3%
4050 1
0.1%
4200 1
0.1%
4500 5
0.5%
4800 2
0.2%
5000 24
2.3%
5200 1
0.1%
5500 1
0.1%
5600 1
0.1%
6000 20
1.9%
6200 1
0.1%
6600 2
0.2%
6750 1
0.1%
7000 9
0.9%
7200 2
0.2%
7500 15
1.4%
8000 16
1.5%
8040 1
0.1%
9000 6
0.6%
9500 1
0.1%
9600 3
0.3%
10000 39
3.7%
10400 1
0.1%
10500 3
0.3%
11312 1
0.1%
11500 1
0.1%
12000 26
2.5%
12500 3
0.3%
13500 1
0.1%
14000 10
0.9%
14400 1
0.1%
15000 47
4.5%
15625 1
0.1%
16000 13
1.2%
17000 2
0.2%
17500 1
0.1%
18000 22
2.1%
18400 1
0.1%
19210 1
0.1%
20000 56
5.3%
21000 7
0.7%
22000 3
0.3%
22500 7
0.7%
24000 14
1.3%
24500 1
0.1%
25000 22
2.1%
25500 1
0.1%
27000 6
0.6%
28000 6
0.6%
28500 1
0.1%
28800 1
0.1%
30000 57
5.4%
32000 5
0.5%
32500 1
0.1%
34000 3
0.3%
34500 1
0.1%
35000 10
0.9%
36000 13
1.2%
37500 5
0.5%
38000 1
0.1%
40000 34
3.2%
40500 1
0.1%
41000 1
0.1%
42000 7
0.7%
43000 1
0.1%
44000 3
0.3%
45000 15
1.4%
47000 1
0.1%
48000 7
0.7%
50000 35
3.3%
51200 1
0.1%
52000 3
0.3%
52500 2
0.2%
54000 4
0.4%
55000 1
0.1%
56000 5
0.5%
60000 39
3.7%
63000 1
0.1%
64000 3
0.3%
64800 1
0.1%
65000 2
0.2%
67200 1
0.1%
67500 2
0.2%
68000 1
0.1%
69000 1
0.1%
70000 16
1.5%
72000 1
0.1%
73500 1
0.1%
75000 15
1.4%
77000 1
0.1%
78000 1
0.1%
80000 28
2.7%
81000 1
0.1%
84000 2
0.2%
85000 2
0.2%
87500 1
0.1%
90000 20
1.9%
96000 5
0.5%
99000 1
0.1%
100000 29
2.7%
105000 4
0.4%
108000 3
0.3%
113000 1
0.1%
114400 1
0.1%
120000 18
1.7%
122500 1
0.1%
123000 1
0.1%
124000 1
0.1%
125000 1
0.1%
127000 1
0.1%
128000 1
0.1%
130000 1
0.1%
132000 1
0.1%
135000 3
0.3%
136000 1
0.1%
140000 9
0.9%
144000 3
0.3%
150000 13
1.2%
153600 1
0.1%
155000 1
0.1%
156000 1
0.1%
160000 9
0.9%
162000 1
0.1%
165000 2
0.2%
170000 1
0.1%
172000 1
0.1%
172500 1
0.1%
175000 2
0.2%
180000 4
0.4%
185000 1
0.1%
197700 1
0.1%
200000 12
1.1%
206250 1
0.1%
210000 2
0.2%
216000 4
0.4%
220000 1
0.1%
220500 1
0.1%
237500 1
0.1%
240000 9
0.9%
245000 2
0.2%
250000 3
0.3%
252000 1
0.1%
270000 2
0.2%
280000 1
0.1%
300000 11
1%
320000 1
0.1%
337000 1
0.1%
355000 1
0.1%
360000 6
0.6%
375000 1
0.1%
390000 1
0.1%
400000 6
0.6%
408000 1
0.1%
450000 2
0.2%
480000 2
0.2%
500000 2
0.2%
510000 1
0.1%
525000 1
0.1%
540000 2
0.2%
600000 5
0.5%
750000 1
0.1%
975000 1
0.1%
1440000 1
0.1%
4000000 1
0.1%
Sysmiss 907
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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