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    Home / Central Data Catalog / RWA_2012-2016_LWHIE-BL-F2_V01_M / variable [F1]
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
260606
  • Study Description
  • Data Dictionary
  • Get Microdata
  • Data files
  • lwh_baseline1b
  • lwh_baseline1c
  • lwh_followup1
  • lwh_followup2

D.2.4 - How much in total did you spend on the [CROP] seed you planted in this p (d24_1)

Data file: lwh_baseline1b

Overview

Valid: 1386
Invalid: 576
Type: Discrete
Decimal: 0
Start: 8886
End: 8893
Width: 8
Range: -8888888 - 65000
Format: Numeric

Questions and instructions

Categories
Value Category Cases
-8888888 Doesn't Know 0
0%
0 883
63.7%
1 1
0.1%
2 1
0.1%
100 2
0.1%
150 1
0.1%
200 5
0.4%
220 1
0.1%
250 3
0.2%
300 10
0.7%
350 2
0.1%
400 12
0.9%
450 4
0.3%
500 6
0.4%
600 24
1.7%
700 11
0.8%
750 7
0.5%
800 6
0.4%
900 9
0.6%
1000 16
1.2%
1050 6
0.4%
1125 2
0.1%
1200 24
1.7%
1250 5
0.4%
1300 3
0.2%
1350 5
0.4%
1400 8
0.6%
1500 27
1.9%
1600 8
0.6%
1700 1
0.1%
1750 6
0.4%
1800 8
0.6%
2000 25
1.8%
2100 6
0.4%
2250 3
0.2%
2400 8
0.6%
2450 1
0.1%
2500 10
0.7%
2550 1
0.1%
2700 1
0.1%
2800 6
0.4%
3000 33
2.4%
3150 2
0.1%
3200 5
0.4%
3240 1
0.1%
3500 10
0.7%
3600 9
0.6%
3750 3
0.2%
3800 1
0.1%
3850 1
0.1%
3900 3
0.2%
4000 13
0.9%
4050 1
0.1%
4200 2
0.1%
4500 21
1.5%
4800 6
0.4%
5000 13
0.9%
5100 1
0.1%
5250 3
0.2%
5400 3
0.2%
5600 1
0.1%
5850 1
0.1%
6000 23
1.7%
6100 1
0.1%
6250 1
0.1%
6300 1
0.1%
6500 1
0.1%
6600 2
0.1%
7000 4
0.3%
7400 1
0.1%
7500 7
0.5%
8000 9
0.6%
8400 1
0.1%
9000 7
0.5%
10000 4
0.3%
10500 1
0.1%
11800 1
0.1%
12000 3
0.2%
12500 2
0.1%
14000 3
0.2%
15000 3
0.2%
17500 1
0.1%
18000 2
0.1%
20000 1
0.1%
20400 1
0.1%
24000 1
0.1%
25000 1
0.1%
30000 1
0.1%
35000 1
0.1%
65000 1
0.1%
Sysmiss 576
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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