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agricultural-surveys

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

Rwanda, 2012 - 2017
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Reference ID
RWA_2012-2016_LWH_v01_EN_M_V01_A_OCS
Producer(s)
Florence Kondylis, Maria Jones, Saahil Karpe
Collections
Agricultural Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Sep 16, 2020
Last modified
Nov 08, 2022
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I.3.1. School Fees (including tuition fees, books and uniforms) (i31)

Data file: lwh_baseline1b

Overview

Valid: 1961
Invalid: 1
Type: Discrete
Decimal: 0
Start: 18658
End: 18665
Width: 8
Range: -8888888 - 1805000
Format: Numeric

Questions and instructions

Categories
Value Category Cases
-8888888 Doesn't Know 0
0%
0 624
31.8%
6 1
0.1%
88 2
0.1%
100 1
0.1%
200 1
0.1%
300 1
0.1%
400 2
0.1%
450 1
0.1%
500 5
0.3%
560 1
0.1%
600 1
0.1%
700 1
0.1%
800 2
0.1%
900 2
0.1%
1000 41
2.1%
1200 4
0.2%
1400 2
0.1%
1500 15
0.8%
1600 2
0.1%
1800 1
0.1%
2000 70
3.6%
2200 2
0.1%
2400 3
0.2%
2500 7
0.4%
2700 1
0.1%
2800 2
0.1%
2950 1
0.1%
3000 76
3.9%
3100 2
0.1%
3200 2
0.1%
3360 1
0.1%
3500 5
0.3%
3750 1
0.1%
3800 1
0.1%
3900 1
0.1%
4000 52
2.7%
4200 1
0.1%
4300 1
0.1%
4500 13
0.7%
4600 1
0.1%
4800 2
0.1%
4905 1
0.1%
5000 114
5.8%
5200 3
0.2%
5400 1
0.1%
5500 4
0.2%
5600 2
0.1%
5700 1
0.1%
6000 44
2.2%
6100 2
0.1%
6200 2
0.1%
6300 2
0.1%
6500 6
0.3%
6600 2
0.1%
6700 1
0.1%
6800 2
0.1%
6850 1
0.1%
6900 1
0.1%
7000 36
1.8%
7200 2
0.1%
7500 7
0.4%
7800 2
0.1%
8000 24
1.2%
8040 1
0.1%
8200 2
0.1%
8400 1
0.1%
8600 1
0.1%
8700 1
0.1%
9000 10
0.5%
9300 2
0.1%
9500 3
0.2%
9700 1
0.1%
10000 98
5%
10150 1
0.1%
10400 1
0.1%
10500 4
0.2%
10600 2
0.1%
10800 2
0.1%
10940 1
0.1%
11000 8
0.4%
11100 1
0.1%
11200 1
0.1%
11400 1
0.1%
11500 2
0.1%
11700 1
0.1%
12000 33
1.7%
12100 1
0.1%
12500 3
0.2%
12600 1
0.1%
13000 8
0.4%
13200 1
0.1%
13500 2
0.1%
13700 1
0.1%
14000 6
0.3%
14200 1
0.1%
14500 2
0.1%
15000 76
3.9%
15300 1
0.1%
15600 3
0.2%
16000 8
0.4%
16300 1
0.1%
16400 1
0.1%
16500 2
0.1%
16800 1
0.1%
17000 6
0.3%
17400 1
0.1%
17700 1
0.1%
18000 13
0.7%
18600 1
0.1%
18700 1
0.1%
18900 1
0.1%
19000 4
0.2%
19200 1
0.1%
20000 69
3.5%
20500 1
0.1%
20600 1
0.1%
20800 1
0.1%
21000 4
0.2%
21100 1
0.1%
21500 1
0.1%
22000 4
0.2%
22500 1
0.1%
23000 2
0.1%
24000 12
0.6%
24200 1
0.1%
24700 1
0.1%
24800 1
0.1%
25000 19
1%
26000 4
0.2%
26100 1
0.1%
27000 2
0.1%
27500 1
0.1%
27600 2
0.1%
28000 1
0.1%
28500 1
0.1%
28700 1
0.1%
29500 1
0.1%
30000 47
2.4%
31000 2
0.1%
31500 1
0.1%
31900 1
0.1%
32000 2
0.1%
33000 2
0.1%
33200 1
0.1%
33400 1
0.1%
33900 1
0.1%
34000 1
0.1%
35000 8
0.4%
37000 1
0.1%
37500 1
0.1%
38300 1
0.1%
39000 1
0.1%
39200 1
0.1%
40000 19
1%
44000 1
0.1%
45000 2
0.1%
46000 1
0.1%
46500 1
0.1%
47000 2
0.1%
50000 28
1.4%
52000 2
0.1%
55000 1
0.1%
56000 1
0.1%
58500 1
0.1%
59000 1
0.1%
60000 6
0.3%
61000 1
0.1%
62000 1
0.1%
63000 1
0.1%
65000 1
0.1%
68000 1
0.1%
70000 7
0.4%
72000 1
0.1%
75000 4
0.2%
77000 1
0.1%
80000 5
0.3%
84000 1
0.1%
85000 1
0.1%
88000 1
0.1%
90000 6
0.3%
91100 1
0.1%
96000 2
0.1%
100000 12
0.6%
100600 1
0.1%
105000 1
0.1%
110000 3
0.2%
115000 1
0.1%
120000 5
0.3%
123000 1
0.1%
125000 1
0.1%
126000 1
0.1%
127000 1
0.1%
135000 2
0.1%
138000 1
0.1%
140000 1
0.1%
141000 1
0.1%
149700 1
0.1%
150000 9
0.5%
160000 2
0.1%
166500 1
0.1%
170000 1
0.1%
174000 1
0.1%
180000 4
0.2%
190000 2
0.1%
200000 11
0.6%
204000 1
0.1%
210000 2
0.1%
216000 1
0.1%
220000 1
0.1%
230000 2
0.1%
240000 2
0.1%
241000 1
0.1%
242000 1
0.1%
250000 8
0.4%
259200 1
0.1%
260800 1
0.1%
270000 2
0.1%
278000 1
0.1%
300000 4
0.2%
308000 1
0.1%
350000 2
0.1%
360000 1
0.1%
364450 1
0.1%
365000 1
0.1%
400000 2
0.1%
500000 2
0.1%
600000 2
0.1%
630000 1
0.1%
800000 1
0.1%
816100 1
0.1%
900000 1
0.1%
928000 1
0.1%
930000 1
0.1%
1000000 2
0.1%
1280000 1
0.1%
1805000 1
0.1%
Sysmiss 1
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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