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    Home / Central Data Catalog / RWA_2012-2016_LWHIE-BL-F2_V01_M / variable [F3]
central

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
232607
  • Study Description
  • Data Dictionary
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  • Data files
  • lwh_baseline1b
  • lwh_baseline1c
  • lwh_followup1
  • lwh_followup2

INCOME: Terracing for LWH (inc_12)

Data file: lwh_followup1

Overview

Valid: 3221
Invalid: 7
Type: Discrete
Decimal: 0
Start: 55038
End: 55044
Width: 7
Range: -88 - 620000
Format: Numeric

Questions and instructions

Categories
Value Category Cases
-88 Don't know 0
0%
-77 Not applicable 0
0%
-66 Refused to answer 0
0%
0 2397
74.4%
1000 7
0.2%
2000 5
0.2%
3000 1
0%
4000 2
0.1%
4500 1
0%
5000 10
0.3%
6000 8
0.2%
7000 2
0.1%
7400 1
0%
8000 25
0.8%
8800 1
0%
9000 5
0.2%
10000 24
0.7%
10500 1
0%
12000 10
0.3%
13000 3
0.1%
14000 3
0.1%
15000 31
1%
16000 5
0.2%
17000 2
0.1%
17500 1
0%
18000 10
0.3%
19000 1
0%
20000 61
1.9%
20700 1
0%
21000 1
0%
22000 8
0.2%
23000 1
0%
23600 1
0%
24000 7
0.2%
25000 20
0.6%
26000 7
0.2%
27000 3
0.1%
27500 1
0%
28000 6
0.2%
30000 84
2.6%
32000 10
0.3%
35000 27
0.8%
36000 8
0.2%
38000 3
0.1%
39000 1
0%
40000 78
2.4%
42000 6
0.2%
43000 2
0.1%
45000 20
0.6%
48000 4
0.1%
50000 67
2.1%
52000 5
0.2%
54000 3
0.1%
55000 2
0.1%
58000 2
0.1%
59000 1
0%
60000 40
1.2%
61000 1
0%
64000 1
0%
65000 5
0.2%
66000 2
0.1%
68000 2
0.1%
70000 13
0.4%
72000 1
0%
75000 6
0.2%
78000 2
0.1%
80000 37
1.1%
82000 3
0.1%
85000 1
0%
90000 10
0.3%
95000 1
0%
100000 37
1.1%
111000 1
0%
115000 1
0%
120000 22
0.7%
130000 3
0.1%
148800 1
0%
150000 8
0.2%
156000 1
0%
160000 1
0%
165000 1
0%
168000 1
0%
180000 5
0.2%
200000 8
0.2%
208000 1
0%
250000 3
0.1%
270000 1
0%
300000 2
0.1%
340000 1
0%
420000 1
0%
620000 1
0%
1000001 .A 7
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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