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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
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189939

D.2.11 - How much [CROP] (kg) has the HH already eaten? (d211_2)

Data file: lwh_baseline1b

Overview

Valid: 673
Invalid: 1289
Type: Discrete
Decimal: 0
Start: 9124
End: 9129
Width: 6
Range: -88888 - 2000
Format: Numeric

Questions and instructions

Categories
Value Category Cases
-88888 Doesn't Know 0
0%
1 2
0.3%
1.17499995231628 1
0.1%
1.5 2
0.3%
2 4
0.6%
3 7
1%
3.5 1
0.1%
3.75 1
0.1%
4 1
0.1%
4.5 1
0.1%
4.80000019073486 1
0.1%
5 21
3.1%
6 6
0.9%
7 3
0.4%
7.5 8
1.2%
8 5
0.7%
9 3
0.4%
10 44
6.5%
10.5 2
0.3%
10.8400001525879 1
0.1%
11 1
0.1%
12 6
0.9%
12.5 1
0.1%
13 3
0.4%
13.5 1
0.1%
13.5500001907349 2
0.3%
14 2
0.3%
15 26
3.9%
15.5 1
0.1%
16 2
0.3%
17 2
0.3%
18 3
0.4%
20 62
9.2%
21.6800003051758 1
0.1%
22 2
0.3%
22.5 3
0.4%
24 1
0.1%
25 21
3.1%
25.5 1
0.1%
26 1
0.1%
27 1
0.1%
27.1000003814697 3
0.4%
29 1
0.1%
30 60
8.9%
31 1
0.1%
32 1
0.1%
35 10
1.5%
36 2
0.3%
37 1
0.1%
37.5 2
0.3%
38 1
0.1%
40 35
5.2%
41 1
0.1%
41.5 1
0.1%
42 2
0.3%
44 1
0.1%
45 7
1%
46 3
0.4%
48 1
0.1%
48.5 1
0.1%
50 44
6.5%
55 5
0.7%
55.5 1
0.1%
57 3
0.4%
58 1
0.1%
60 15
2.2%
65 3
0.4%
67 1
0.1%
70 18
2.7%
74 1
0.1%
75 5
0.7%
76 2
0.3%
78 1
0.1%
80 21
3.1%
81 1
0.1%
82 1
0.1%
83 1
0.1%
85 3
0.4%
87 1
0.1%
88.5 2
0.3%
89 1
0.1%
90 10
1.5%
94 2
0.3%
95 4
0.6%
100 30
4.5%
104 1
0.1%
110 6
0.9%
120 9
1.3%
125 1
0.1%
130 3
0.4%
134 1
0.1%
135 1
0.1%
138 1
0.1%
140 1
0.1%
146 1
0.1%
150 15
2.2%
160 3
0.4%
165 2
0.3%
170 3
0.4%
180 3
0.4%
195 1
0.1%
200 19
2.8%
210 1
0.1%
220 2
0.3%
230 1
0.1%
240 1
0.1%
250 4
0.6%
260 2
0.3%
280 2
0.3%
295 1
0.1%
300 8
1.2%
340 1
0.1%
390 1
0.1%
400 2
0.3%
420 1
0.1%
450 2
0.3%
580 1
0.1%
600 1
0.1%
1425 1
0.1%
1500 1
0.1%
2000 1
0.1%
Sysmiss 1289
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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