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    Home / Food and Agriculture Microdata Catalogue / AGRICULTURAL-SURVEYS / RWA_2014_LWH-W3_V01_EN_M_V01_A_OCS / variable [F1]
agricultural-surveys

Land Husbandry, Water Harvesting and Hillside Irrigation Project Impact Evaluation 2014

Rwanda, 2014
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Reference ID
RWA_2014_LWH-W3_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 15, 2020
Last modified
Nov 08, 2022
Page views
58891
Downloads
447
  • Study Description
  • Data Dictionary
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  • Data files
  • lwh_followup3

Other health expenditure (eg. Medicines) (exp_14)

Data file: lwh_followup3

Overview

Valid: 1624
Invalid: 3
Type: Discrete
Decimal: 0
Start: 15032
End: 15041
Width: 10
Range: 0 - 2147483647
Format: Numeric

Questions and instructions

Categories
Value Category Cases
0 545
33.6%
99 Other 0
0%
100 1
0.1%
200 82
5%
250 1
0.1%
300 24
1.5%
400 71
4.4%
480 1
0.1%
500 8
0.5%
600 90
5.5%
700 5
0.3%
750 1
0.1%
800 44
2.7%
900 7
0.4%
1000 73
4.5%
1100 1
0.1%
1200 23
1.4%
1300 4
0.2%
1400 4
0.2%
1500 14
0.9%
1600 11
0.7%
1700 4
0.2%
1800 6
0.4%
1950 1
0.1%
2000 63
3.9%
2100 3
0.2%
2200 4
0.2%
2400 8
0.5%
2500 11
0.7%
2600 2
0.1%
2700 1
0.1%
2800 1
0.1%
3000 57
3.5%
3100 2
0.1%
3200 1
0.1%
3300 2
0.1%
3500 3
0.2%
3600 4
0.2%
3700 1
0.1%
3800 1
0.1%
3900 1
0.1%
4000 29
1.8%
4200 7
0.4%
4500 4
0.2%
4600 4
0.2%
4700 1
0.1%
4800 2
0.1%
5000 50
3.1%
5050 1
0.1%
5200 1
0.1%
5500 3
0.2%
5600 1
0.1%
5900 1
0.1%
6000 47
2.9%
6100 1
0.1%
6200 1
0.1%
6600 1
0.1%
7000 13
0.8%
7200 1
0.1%
7300 1
0.1%
7500 3
0.2%
7800 1
0.1%
7850 1
0.1%
8000 14
0.9%
8400 1
0.1%
8645 1
0.1%
9000 3
0.2%
10000 39
2.4%
11000 1
0.1%
11900 1
0.1%
12000 13
0.8%
13000 3
0.2%
14000 2
0.1%
14200 1
0.1%
15000 23
1.4%
15800 1
0.1%
16000 2
0.1%
16800 1
0.1%
17000 4
0.2%
18000 1
0.1%
18350 1
0.1%
18740 1
0.1%
19000 1
0.1%
20000 24
1.5%
21000 2
0.1%
21500 1
0.1%
23000 1
0.1%
23400 1
0.1%
25000 8
0.5%
26120 1
0.1%
26720 1
0.1%
27000 1
0.1%
28000 4
0.2%
30000 14
0.9%
31000 1
0.1%
32000 2
0.1%
34000 1
0.1%
35000 3
0.2%
36000 1
0.1%
37500 1
0.1%
40000 10
0.6%
42000 1
0.1%
42400 1
0.1%
47000 2
0.1%
48000 1
0.1%
50000 20
1.2%
50001 1
0.1%
52000 1
0.1%
55000 1
0.1%
58000 1
0.1%
60000 8
0.5%
61000 1
0.1%
70000 3
0.2%
75000 1
0.1%
78600 1
0.1%
80000 2
0.1%
91400 1
0.1%
100000 9
0.6%
105000 1
0.1%
120000 3
0.2%
124000 1
0.1%
150000 2
0.1%
180000 1
0.1%
210000 1
0.1%
247000 1
0.1%
250000 1
0.1%
300000 2
0.1%
305000 1
0.1%
500000 1
0.1%
510000 1
0.1%
600000 1
0.1%
844730 1
0.1%
2147483623 N/A 0
0%
2147483625 Refuse to answer 0
0%
2147483645 Missing 0
0%
2147483646 Outrange 0
0%
2147483647 Has data while shouldn't 0
0%
1000001 Don't know 3
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
Question text: Other health expenditure (eg. Medicines)
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