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lsms

Integrated Household Panel Survey 2010-2013 (Short-Term Panel, 204 EAs)

Malawi, 2010 - 2013
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Reference ID
MWI_2010-2013_IHPS_v01_M
DOI
https://doi.org/10.48529/4q9f-2288
Producer(s)
National Statistical Office
Collection(s)
Living Standards Measurement Study (LSMS)
Metadata
Documentation in PDF DDI/XML JSON
Created on
Apr 21, 2015
Last modified
Jan 30, 2020
Page views
637952
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What was the total value of [LIVESTOCK] sales during the last 12 months? (ag_r17)

Data file: AG_MOD_R1_13

Overview

Valid: 1096
Invalid: 49268
Minimum: 0
Maximum: 924000
Type: Discrete
Decimal: 0
Start: 74
End: 79
Width: 6
Range: 0 - 924000
Format: Numeric

Questions and instructions

Categories
Value Category Cases
0 2
0.2%
16 1
0.1%
100 1
0.1%
150 1
0.1%
200 2
0.2%
210 1
0.1%
300 6
0.5%
350 1
0.1%
400 1
0.1%
450 1
0.1%
488 1
0.1%
500 6
0.5%
600 5
0.5%
700 8
0.7%
750 2
0.2%
800 12
1.1%
850 3
0.3%
900 4
0.4%
950 1
0.1%
1000 35
3.2%
1100 2
0.2%
1200 17
1.6%
1250 1
0.1%
1300 6
0.5%
1400 8
0.7%
1450 1
0.1%
1500 21
1.9%
1600 12
1.1%
1700 6
0.5%
1800 8
0.7%
1900 3
0.3%
2000 43
3.9%
2100 4
0.4%
2200 4
0.4%
2250 2
0.2%
2400 17
1.6%
2500 14
1.3%
2550 1
0.1%
2600 6
0.5%
2700 6
0.5%
2800 10
0.9%
2900 2
0.2%
3000 54
4.9%
3200 12
1.1%
3300 3
0.3%
3400 4
0.4%
3500 4
0.4%
3600 11
1%
3700 2
0.2%
3800 7
0.6%
3900 4
0.4%
4000 32
2.9%
4050 1
0.1%
4200 5
0.5%
4380 1
0.1%
4400 3
0.3%
4500 27
2.5%
4600 4
0.4%
4700 1
0.1%
4800 3
0.3%
4900 1
0.1%
5000 24
2.2%
5200 7
0.6%
5250 1
0.1%
5300 1
0.1%
5400 6
0.5%
5500 2
0.2%
5600 3
0.3%
5800 1
0.1%
6000 46
4.2%
6200 4
0.4%
6400 2
0.2%
6500 5
0.5%
6700 1
0.1%
7000 31
2.8%
7100 1
0.1%
7200 4
0.4%
7500 14
1.3%
7600 2
0.2%
8000 31
2.8%
8400 1
0.1%
8500 1
0.1%
8600 2
0.2%
8800 1
0.1%
9000 23
2.1%
9300 1
0.1%
9500 2
0.2%
9600 2
0.2%
10000 23
2.1%
10500 7
0.6%
10900 2
0.2%
11000 4
0.4%
11500 1
0.1%
11700 1
0.1%
12000 26
2.4%
12300 1
0.1%
12500 1
0.1%
12800 1
0.1%
12900 1
0.1%
13000 4
0.4%
13500 2
0.2%
13600 2
0.2%
14000 9
0.8%
14300 1
0.1%
14400 1
0.1%
15000 21
1.9%
16000 13
1.2%
16500 2
0.2%
17000 8
0.7%
17500 3
0.3%
18000 19
1.7%
19000 5
0.5%
19200 1
0.1%
20000 18
1.6%
20500 2
0.2%
21000 7
0.6%
21500 2
0.2%
21600 1
0.1%
22000 7
0.6%
22500 1
0.1%
23000 5
0.5%
24000 14
1.3%
24100 1
0.1%
25000 6
0.5%
26000 2
0.2%
26500 2
0.2%
27000 6
0.5%
28000 7
0.6%
28500 1
0.1%
29000 2
0.2%
30000 15
1.4%
31000 1
0.1%
33000 1
0.1%
34000 5
0.5%
34500 1
0.1%
35000 3
0.3%
35500 1
0.1%
36000 2
0.2%
39000 1
0.1%
40000 16
1.5%
42000 3
0.3%
43000 1
0.1%
44000 2
0.2%
45000 5
0.5%
48000 2
0.2%
50000 10
0.9%
52000 1
0.1%
55000 2
0.2%
56000 1
0.1%
57000 1
0.1%
58000 1
0.1%
59000 1
0.1%
60000 4
0.4%
63000 1
0.1%
64000 1
0.1%
65000 4
0.4%
66000 1
0.1%
70000 6
0.5%
72000 1
0.1%
75000 7
0.6%
80000 4
0.4%
84000 3
0.3%
85000 3
0.3%
86000 1
0.1%
90000 6
0.5%
93000 1
0.1%
93500 1
0.1%
100000 1
0.1%
110000 2
0.2%
120000 4
0.4%
122000 1
0.1%
130000 1
0.1%
134000 1
0.1%
135000 1
0.1%
140000 1
0.1%
142000 2
0.2%
145000 1
0.1%
150000 2
0.2%
153000 1
0.1%
155000 1
0.1%
160000 3
0.3%
170000 3
0.3%
180000 2
0.2%
190000 1
0.1%
196000 1
0.1%
200000 1
0.1%
220000 1
0.1%
240000 1
0.1%
252000 1
0.1%
260000 1
0.1%
300000 2
0.2%
320000 1
0.1%
364500 1
0.1%
425000 1
0.1%
450000 2
0.2%
575000 1
0.1%
600000 1
0.1%
750000 1
0.1%
800000 1
0.1%
900000 1
0.1%
924000 1
0.1%
Sysmiss 49268
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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