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    Home / Central Data Catalog / ETH_2014_WALN-BL_V01_M / variable [F1]
central

Women Agribusiness Leaders Network Impact Evaluation 2014

Ethiopia, 2014
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Reference ID
ETH_2014_WALN-BL_v01_M
Producer(s)
M. Mehrab Bin Bakhtiar, Gautam Bastian, Eliana Carranza, Markus Goldstein
Metadata
DDI/XML JSON
Created on
Sep 19, 2018
Last modified
Sep 19, 2018
Page views
32544
Downloads
794
  • Study Description
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  • Data files
  • waln_baseline_data

How much do you spend per period on inputs/good 2 Amount in ETB (b3117_2_1)

Data file: waln_baseline_data

Overview

Valid: 1498
Invalid: 0
Type: Discrete
Start: 4075
End: 4085
Width: 11
Format:

Questions and instructions

Categories
Value Category
.
.b
0
0.
1
1.
10
10.
100
100.
1000.
10000.
100000.
100500.
104.
1040.
10400.
105.
1050.
10500.
1080
11.
110
110.
1100
1100.
11000.
1110
1120.
11232
114000.
1150.
1160.
119.
12
12.
120
120.
1200
1200.
1260.
13.
130.
1300.
13000
1320
135
14
14.
140
140.
1400.
1440.
1450.
1452.
1466.
147.5
15
15.
150
150.
1500
1500.
15000.
1520.
1560.
157
160.
1600.
16000
165.
1650.
1670.
1680.
168000.
170.
1700
1700.
173.
1740.
175.
1750.
180.
1800.
1900.
19000.
192.
195
2
2.
20
20.
200
200.
2000
2000.
20000
20000.
204.
205.
21.
210
2100.
21000
216.
2160.
21750.
22
22.
220.
2200
2200.
2240.
225.
2250.
2280.
2295.
230.
2300.
235.
24.
240.
2400
2400.
24000.
246
25.
250
250.
2500.
25000.
255.
270.
2700
2700.
2751
28
28.
280.
2800.
281400.
2820.
288
2925.
3
3.
30.
300
300.
3000
3000.
30000.
303.
31200.
315.
320.
3200.
3220.
33.
330.
3315
337.
340.
35
35.
350.
3500.
360
360.
3600.
37.
390.
3900.
4
4.
40
40.
400.
4000
4000.
40000
40000.
42.
420.
4200.
425.
44.
4415.
450.
4500.
47000
48.
480.
4900.
49000.
5
5.
50
50.
500
500.
5000
5000.
5100.
52.
520
520.
52000.
525.
52600.
540.
5460.
550
550.
5500
5500.
5600.
56000.
570.
6
6.
60.
600
600.
6000.
625.
63.
650.
675
7
7.
70.
700
700.
7000.
7200
740.
75.
750
750.
7500
759.
7600.
8
80
80.
800.
8000.
8200.
825.
84.
840.
8400.
85.
850
850.
855
860.
888.
9.
90
90.
900.
9000
9000.
910.
950
97.
980.
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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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