Home / Central Data Catalog / LSMS / MWI_2010-2013_IHPS_V01_M / variable [F94]
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
643027
Downloads
25577

How much [SOURCE] did your household receive in total during the last 12 months? (hh_p02)

Data file: HH_MOD_P_13

Overview

Valid: 521
Invalid: 59479
Minimum: 100
Maximum: 12000000
Type: Discrete
Decimal: 0
Start: 17
End: 24
Width: 8
Range: 100 - 12000000
Format: Numeric

Questions and instructions

Categories
Value Category Cases
100 1
0.2%
110 1
0.2%
240 1
0.2%
288 1
0.2%
450 1
0.2%
600 1
0.2%
1000 3
0.6%
1200 2
0.4%
1500 3
0.6%
1800 2
0.4%
2000 7
1.3%
2100 1
0.2%
2500 1
0.2%
3000 9
1.7%
3500 1
0.2%
3800 1
0.2%
3900 1
0.2%
4000 4
0.8%
4500 4
0.8%
5000 8
1.5%
5500 1
0.2%
5700 1
0.2%
6000 6
1.2%
6500 2
0.4%
7000 8
1.5%
7500 1
0.2%
8000 6
1.2%
8050 1
0.2%
8200 2
0.4%
8500 2
0.4%
9500 1
0.2%
10000 17
3.3%
10500 1
0.2%
12000 10
1.9%
12500 2
0.4%
13000 2
0.4%
14000 4
0.8%
15000 8
1.5%
15600 2
0.4%
17000 2
0.4%
17500 1
0.2%
18000 11
2.1%
18400 1
0.2%
19000 2
0.4%
20000 10
1.9%
20400 1
0.2%
20500 1
0.2%
21600 2
0.4%
22000 3
0.6%
23000 2
0.4%
24000 16
3.1%
25000 4
0.8%
25500 1
0.2%
26000 1
0.2%
26400 1
0.2%
27000 2
0.4%
27500 1
0.2%
28000 2
0.4%
29000 1
0.2%
30000 14
2.7%
31000 1
0.2%
32000 1
0.2%
33000 1
0.2%
33600 1
0.2%
35000 2
0.4%
36000 14
2.7%
36750 1
0.2%
37000 1
0.2%
37200 1
0.2%
37600 1
0.2%
38000 1
0.2%
38400 2
0.4%
40000 7
1.3%
40500 1
0.2%
41000 1
0.2%
42000 6
1.2%
44000 1
0.2%
45000 4
0.8%
48000 14
2.7%
49000 1
0.2%
50000 7
1.3%
54000 1
0.2%
60000 22
4.2%
62400 1
0.2%
65000 3
0.6%
66000 1
0.2%
70000 4
0.8%
72000 5
1%
75000 1
0.2%
78000 3
0.6%
80000 5
1%
84000 3
0.6%
86000 1
0.2%
90000 4
0.8%
92700 1
0.2%
95000 2
0.4%
96000 9
1.7%
100000 7
1.3%
107000 1
0.2%
108000 7
1.3%
114000 2
0.4%
116000 1
0.2%
116400 1
0.2%
117000 1
0.2%
120000 13
2.5%
130000 2
0.4%
132000 3
0.6%
138000 1
0.2%
140000 2
0.4%
144000 5
1%
150000 8
1.5%
155000 2
0.4%
156000 3
0.6%
160000 2
0.4%
165000 1
0.2%
168000 1
0.2%
174000 2
0.4%
180000 8
1.5%
185000 1
0.2%
186000 1
0.2%
192000 1
0.2%
200000 9
1.7%
204000 2
0.4%
208000 1
0.2%
210000 1
0.2%
216000 2
0.4%
228000 1
0.2%
237000 1
0.2%
240000 7
1.3%
250000 1
0.2%
252000 1
0.2%
270000 1
0.2%
276000 1
0.2%
288000 2
0.4%
300000 5
1%
312000 1
0.2%
320000 1
0.2%
324000 1
0.2%
340000 1
0.2%
344000 1
0.2%
348000 1
0.2%
350000 2
0.4%
360000 6
1.2%
366000 1
0.2%
400000 4
0.8%
410000 1
0.2%
420000 5
1%
480000 4
0.8%
500000 1
0.2%
534000 1
0.2%
535000 1
0.2%
540000 4
0.8%
550000 1
0.2%
600000 1
0.2%
660000 1
0.2%
708000 1
0.2%
720000 2
0.4%
744000 1
0.2%
750000 1
0.2%
768000 1
0.2%
800000 1
0.2%
840000 1
0.2%
900000 1
0.2%
960000 1
0.2%
1000000 1
0.2%
1200000 1
0.2%
1260000 1
0.2%
1380000 1
0.2%
1440000 1
0.2%
1800000 1
0.2%
2000000 2
0.4%
2100000 1
0.2%
2200000 1
0.2%
2700000 1
0.2%
2800000 2
0.4%
3000000 1
0.2%
3001000 1
0.2%
4000000 1
0.2%
12000000 1
0.2%
Sysmiss 59479
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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