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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
184847

[TUBURA]: CRD_10: What was the total amount of the loan? (crd_10_6)

Data file: lwh_followup2

Overview

Valid: 797
Invalid: 2281
Type: Discrete
Decimal: 2
Start: 11045
End: 11057
Width: 13
Range: 0 - 2147483647
Format: Numeric

Questions and instructions

Categories
Value Category Cases
0 8
1%
99 Other 0
0%
500 1
0.1%
650 1
0.1%
1000 2
0.3%
1100 1
0.1%
1300 1
0.1%
1400 2
0.3%
1500 3
0.4%
1600 1
0.1%
1800 2
0.3%
1950 1
0.1%
2000 5
0.6%
2200 1
0.1%
2250 1
0.1%
2500 3
0.4%
2600 1
0.1%
2700 1
0.1%
2750 1
0.1%
3000 12
1.5%
3200 2
0.3%
3250 1
0.1%
3360 1
0.1%
3500 6
0.8%
3600 4
0.5%
3875 1
0.1%
3900 2
0.3%
4000 5
0.6%
4200 2
0.3%
4350 1
0.1%
4360 1
0.1%
4400 1
0.1%
4500 6
0.8%
4550 1
0.1%
4800 2
0.3%
4950 1
0.1%
5000 22
2.8%
5010 1
0.1%
5200 1
0.1%
5240 1
0.1%
5400 1
0.1%
5440 1
0.1%
5500 3
0.4%
5600 1
0.1%
5640 1
0.1%
5800 2
0.3%
5850 1
0.1%
6000 23
2.9%
6250 1
0.1%
6500 9
1.1%
6600 1
0.1%
6750 1
0.1%
6800 3
0.4%
7000 20
2.5%
7050 1
0.1%
7200 1
0.1%
7240 2
0.3%
7400 1
0.1%
7420 1
0.1%
7500 5
0.6%
7560 1
0.1%
7600 2
0.3%
7800 1
0.1%
7910 1
0.1%
8000 29
3.6%
8175 1
0.1%
8250 1
0.1%
8300 1
0.1%
8340 1
0.1%
8350 2
0.3%
8400 5
0.6%
8500 3
0.4%
8600 1
0.1%
8700 1
0.1%
8800 1
0.1%
8900 1
0.1%
9000 15
1.9%
9200 1
0.1%
9500 2
0.3%
9540 1
0.1%
9650 1
0.1%
9700 1
0.1%
9750 1
0.1%
9818 1
0.1%
9840 1
0.1%
9930 1
0.1%
10000 43
5.4%
10100 1
0.1%
10170 1
0.1%
10200 1
0.1%
10270 1
0.1%
10400 1
0.1%
10440 1
0.1%
10470 1
0.1%
10500 2
0.3%
10600 1
0.1%
10800 1
0.1%
11000 6
0.8%
11095 1
0.1%
11150 1
0.1%
11200 2
0.3%
11250 1
0.1%
11400 1
0.1%
11500 2
0.3%
11600 1
0.1%
11650 1
0.1%
11700 1
0.1%
11900 1
0.1%
12000 38
4.8%
12300 1
0.1%
12350 2
0.3%
12500 2
0.3%
12570 1
0.1%
12700 3
0.4%
13000 9
1.1%
13050 1
0.1%
13250 1
0.1%
13500 2
0.3%
13680 1
0.1%
13750 1
0.1%
14000 11
1.4%
14250 1
0.1%
14400 1
0.1%
14590 1
0.1%
14600 1
0.1%
15000 34
4.3%
15170 2
0.3%
15250 1
0.1%
15450 1
0.1%
15500 1
0.1%
16000 6
0.8%
16490 1
0.1%
16500 2
0.3%
16800 1
0.1%
17000 10
1.3%
17200 1
0.1%
17500 1
0.1%
17650 1
0.1%
17720 1
0.1%
18000 14
1.8%
18620 1
0.1%
18630 1
0.1%
18740 1
0.1%
19000 4
0.5%
19070 1
0.1%
19500 2
0.3%
19920 1
0.1%
20000 34
4.3%
21000 10
1.3%
21250 1
0.1%
21500 1
0.1%
21600 1
0.1%
21875 1
0.1%
22000 1
0.1%
22200 1
0.1%
22250 1
0.1%
22300 1
0.1%
22400 1
0.1%
22450 1
0.1%
22500 4
0.5%
22770 1
0.1%
23000 3
0.4%
23410 1
0.1%
23500 1
0.1%
24000 6
0.8%
24500 1
0.1%
24990 2
0.3%
25000 12
1.5%
25500 3
0.4%
26000 6
0.8%
26500 3
0.4%
26625 3
0.4%
26800 1
0.1%
27000 7
0.9%
27200 1
0.1%
27400 1
0.1%
27500 2
0.3%
27775 1
0.1%
28000 10
1.3%
28100 2
0.3%
29000 3
0.4%
29100 1
0.1%
29650 1
0.1%
30000 21
2.6%
30200 1
0.1%
30645 1
0.1%
30700 1
0.1%
30750 1
0.1%
31000 4
0.5%
31200 4
0.5%
31390 1
0.1%
31494 1
0.1%
32000 10
1.3%
32200 1
0.1%
32400 1
0.1%
32500 1
0.1%
32580 1
0.1%
32650 1
0.1%
32900 1
0.1%
33600 1
0.1%
34000 4
0.5%
34045 1
0.1%
34200 2
0.3%
35000 3
0.4%
35400 1
0.1%
36000 1
0.1%
36700 1
0.1%
37000 4
0.5%
37350 1
0.1%
38000 2
0.3%
38740 1
0.1%
38750 1
0.1%
38980 1
0.1%
39000 4
0.5%
39050 1
0.1%
39800 1
0.1%
40000 10
1.3%
40500 1
0.1%
40520 1
0.1%
41000 3
0.4%
42000 2
0.3%
42750 1
0.1%
43000 1
0.1%
43050 2
0.3%
43890 1
0.1%
43940 1
0.1%
45000 4
0.5%
46000 1
0.1%
48000 2
0.3%
48750 1
0.1%
49550 1
0.1%
50000 8
1%
50460 1
0.1%
51000 1
0.1%
52000 2
0.3%
52500 1
0.1%
53000 2
0.3%
53250 1
0.1%
55000 1
0.1%
56040 1
0.1%
59500 1
0.1%
60000 9
1.1%
65860 1
0.1%
70000 2
0.3%
72000 1
0.1%
76966 1
0.1%
80000 4
0.5%
87000 1
0.1%
89000 1
0.1%
90000 2
0.3%
100000 2
0.3%
102500 1
0.1%
103000 1
0.1%
105000 1
0.1%
109000 1
0.1%
120000 1
0.1%
200000 1
0.1%
2000000 1
0.1%
50000000 1
0.1%
2147483645 Missing 0
0%
2147483647 Has data while shouldn't 0
0%
100000001 Outrange 2281
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.

Others

Notes
"CRD_10: What was the total amount of the loan?"
"[]: What was the total amount of the loan?"
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