Home / Central Data Catalog / LSMS / MWI_2010-2013_IHPS_V01_M / variable [F92]
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
638669
Downloads
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During the last month of operation, what was the profit (phindu) of this [ENTERP (hh_n40)

Data file: HH_MOD_N2_13

Overview

Valid: 1458
Invalid: 2754
Minimum: -5000
Maximum: 6000000
Type: Discrete
Decimal: 0
Start: 225
End: 231
Width: 7
Range: -5000 - 6000000
Format: Numeric

Questions and instructions

Categories
Value Category Cases
-5000 1
0.1%
0 11
0.8%
3 1
0.1%
100 1
0.1%
150 1
0.1%
200 9
0.6%
240 1
0.1%
250 2
0.1%
300 3
0.2%
350 1
0.1%
400 8
0.5%
450 1
0.1%
500 18
1.2%
550 1
0.1%
600 4
0.3%
650 2
0.1%
700 7
0.5%
750 3
0.2%
800 9
0.6%
815 1
0.1%
900 5
0.3%
950 1
0.1%
1000 32
2.2%
1100 4
0.3%
1200 13
0.9%
1300 1
0.1%
1500 36
2.5%
1580 1
0.1%
1600 7
0.5%
1700 6
0.4%
1750 1
0.1%
1760 1
0.1%
1800 8
0.5%
1850 1
0.1%
1900 1
0.1%
1950 1
0.1%
2000 64
4.4%
2100 1
0.1%
2130 1
0.1%
2180 1
0.1%
2200 4
0.3%
2265 1
0.1%
2300 3
0.2%
2350 1
0.1%
2360 1
0.1%
2400 4
0.3%
2500 28
1.9%
2600 6
0.4%
2700 3
0.2%
2750 1
0.1%
2760 1
0.1%
2800 6
0.4%
2850 1
0.1%
2900 2
0.1%
3000 61
4.2%
3300 3
0.2%
3380 1
0.1%
3400 3
0.2%
3500 15
1%
3540 1
0.1%
3600 4
0.3%
3700 1
0.1%
3800 3
0.2%
3870 1
0.1%
3900 2
0.1%
3950 1
0.1%
4000 62
4.3%
4200 1
0.1%
4250 1
0.1%
4300 1
0.1%
4500 10
0.7%
4600 1
0.1%
4700 1
0.1%
4800 6
0.4%
4900 1
0.1%
5000 80
5.5%
5070 1
0.1%
5270 1
0.1%
5300 1
0.1%
5400 3
0.2%
5500 7
0.5%
5700 2
0.1%
6000 46
3.2%
6100 1
0.1%
6200 1
0.1%
6400 2
0.1%
6500 3
0.2%
6700 1
0.1%
6800 1
0.1%
6850 1
0.1%
6900 1
0.1%
7000 37
2.5%
7100 1
0.1%
7250 1
0.1%
7300 1
0.1%
7500 5
0.3%
7600 2
0.1%
7700 1
0.1%
7800 1
0.1%
7900 1
0.1%
8000 55
3.8%
8250 1
0.1%
8500 2
0.1%
8900 1
0.1%
9000 12
0.8%
9100 1
0.1%
9200 1
0.1%
9500 1
0.1%
9600 1
0.1%
9800 2
0.1%
9900 1
0.1%
9960 1
0.1%
10000 59
4%
10150 1
0.1%
10200 1
0.1%
10280 1
0.1%
10500 3
0.2%
10700 1
0.1%
11000 10
0.7%
11500 2
0.1%
11680 1
0.1%
11700 1
0.1%
11800 1
0.1%
12000 26
1.8%
12400 1
0.1%
12500 3
0.2%
12800 2
0.1%
13000 9
0.6%
13500 1
0.1%
13600 1
0.1%
14000 9
0.6%
14500 1
0.1%
14700 1
0.1%
15000 56
3.8%
15500 2
0.1%
15800 2
0.1%
16000 15
1%
16500 1
0.1%
17000 8
0.5%
17500 2
0.1%
18000 7
0.5%
18540 1
0.1%
18550 1
0.1%
19000 3
0.2%
19500 2
0.1%
19570 1
0.1%
20000 55
3.8%
20500 2
0.1%
21000 5
0.3%
22000 3
0.2%
23000 8
0.5%
24000 2
0.1%
24500 1
0.1%
25000 25
1.7%
26000 4
0.3%
26100 1
0.1%
26400 1
0.1%
26500 1
0.1%
27000 8
0.5%
27650 1
0.1%
28000 5
0.3%
28300 1
0.1%
29000 1
0.1%
30000 36
2.5%
30160 1
0.1%
31000 1
0.1%
32000 1
0.1%
32400 1
0.1%
33000 2
0.1%
33500 1
0.1%
34000 1
0.1%
34800 1
0.1%
35000 8
0.5%
36000 2
0.1%
37200 1
0.1%
37500 1
0.1%
38500 1
0.1%
39800 1
0.1%
40000 27
1.9%
41500 1
0.1%
42000 1
0.1%
43000 1
0.1%
44000 2
0.1%
45000 6
0.4%
48000 2
0.1%
48950 1
0.1%
50000 24
1.6%
50500 1
0.1%
52000 1
0.1%
55000 2
0.1%
56000 2
0.1%
57000 1
0.1%
58000 1
0.1%
60000 12
0.8%
64000 1
0.1%
65000 2
0.1%
65850 1
0.1%
68000 1
0.1%
70000 10
0.7%
72000 1
0.1%
72420 1
0.1%
75000 5
0.3%
77000 1
0.1%
80000 15
1%
83000 1
0.1%
84000 3
0.2%
87500 1
0.1%
90000 8
0.5%
96000 1
0.1%
97000 1
0.1%
100000 18
1.2%
107000 1
0.1%
110000 2
0.1%
120000 8
0.5%
125000 1
0.1%
130000 4
0.3%
140000 3
0.2%
142000 1
0.1%
150000 12
0.8%
150750 1
0.1%
159000 1
0.1%
160000 1
0.1%
163000 1
0.1%
170000 1
0.1%
172000 1
0.1%
182700 1
0.1%
185000 1
0.1%
200000 5
0.3%
220000 1
0.1%
226000 1
0.1%
234000 1
0.1%
235000 1
0.1%
238000 1
0.1%
240000 1
0.1%
250000 2
0.1%
254200 1
0.1%
256000 1
0.1%
300000 7
0.5%
304200 1
0.1%
350000 1
0.1%
400000 3
0.2%
450000 2
0.1%
470000 1
0.1%
500000 3
0.2%
540000 1
0.1%
700000 1
0.1%
748200 1
0.1%
800000 3
0.2%
960000 1
0.1%
1000000 2
0.1%
1100000 2
0.1%
2000000 2
0.1%
2500000 1
0.1%
2800000 1
0.1%
6000000 1
0.1%
Sysmiss 2754
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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