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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
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778809
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During the last month of operation in the past 12 months, what was the total exp (hh_n41a)

Data file: HH_MOD_N2_13

Overview

Valid: 1460
Invalid: 2752
Minimum: 0
Maximum: 3000000
Type: Discrete
Decimal: 0
Start: 232
End: 238
Width: 7
Range: 0 - 3000000
Format: Numeric

Questions and instructions

Categories
Value Category Cases
0 756
51.8%
70 1
0.1%
90 2
0.1%
100 8
0.5%
130 1
0.1%
150 4
0.3%
160 1
0.1%
180 1
0.1%
200 20
1.4%
210 1
0.1%
240 1
0.1%
250 2
0.1%
290 1
0.1%
300 15
1%
320 1
0.1%
340 1
0.1%
350 3
0.2%
360 1
0.1%
390 1
0.1%
400 11
0.8%
450 3
0.2%
480 1
0.1%
500 29
2%
510 1
0.1%
520 1
0.1%
600 7
0.5%
650 4
0.3%
680 1
0.1%
700 12
0.8%
730 1
0.1%
750 2
0.1%
800 5
0.3%
900 5
0.3%
950 1
0.1%
1000 36
2.5%
1100 1
0.1%
1200 6
0.4%
1240 1
0.1%
1250 1
0.1%
1255 1
0.1%
1300 6
0.4%
1400 4
0.3%
1450 1
0.1%
1500 16
1.1%
1540 1
0.1%
1600 2
0.1%
1670 1
0.1%
1700 3
0.2%
1790 1
0.1%
1800 4
0.3%
1900 1
0.1%
1920 1
0.1%
1950 1
0.1%
2000 38
2.6%
2100 4
0.3%
2200 2
0.1%
2320 1
0.1%
2400 2
0.1%
2500 12
0.8%
2600 1
0.1%
2640 1
0.1%
2650 1
0.1%
2700 1
0.1%
2750 1
0.1%
2800 2
0.1%
2900 2
0.1%
3000 34
2.3%
3200 1
0.1%
3400 2
0.1%
3500 5
0.3%
3550 1
0.1%
3600 2
0.1%
3800 2
0.1%
3820 1
0.1%
3825 1
0.1%
4000 25
1.7%
4060 1
0.1%
4200 1
0.1%
4320 1
0.1%
4400 1
0.1%
4500 2
0.1%
4600 2
0.1%
4700 1
0.1%
4800 3
0.2%
4900 1
0.1%
5000 31
2.1%
5040 1
0.1%
5050 1
0.1%
5200 1
0.1%
5400 1
0.1%
5500 3
0.2%
5680 1
0.1%
5800 1
0.1%
5880 1
0.1%
6000 12
0.8%
6010 1
0.1%
6200 1
0.1%
6300 2
0.1%
6500 1
0.1%
6660 1
0.1%
6900 1
0.1%
7000 10
0.7%
7280 1
0.1%
7300 1
0.1%
7350 1
0.1%
7400 1
0.1%
7500 3
0.2%
7600 1
0.1%
7750 1
0.1%
7890 1
0.1%
8000 17
1.2%
8100 1
0.1%
8120 1
0.1%
8500 1
0.1%
9000 3
0.2%
9100 1
0.1%
9500 2
0.1%
9600 2
0.1%
9750 1
0.1%
9800 1
0.1%
10000 26
1.8%
10370 1
0.1%
10400 1
0.1%
10500 2
0.1%
10800 1
0.1%
11000 7
0.5%
12000 12
0.8%
12800 1
0.1%
13000 1
0.1%
14000 5
0.3%
15000 15
1%
15500 1
0.1%
15750 1
0.1%
16000 6
0.4%
16180 1
0.1%
16420 1
0.1%
16500 1
0.1%
16800 1
0.1%
17000 3
0.2%
17500 1
0.1%
17680 1
0.1%
18000 7
0.5%
18800 1
0.1%
19200 1
0.1%
20000 14
1%
21000 1
0.1%
21600 1
0.1%
22000 6
0.4%
23000 1
0.1%
23100 1
0.1%
24000 1
0.1%
24500 2
0.1%
25000 2
0.1%
26400 1
0.1%
27500 1
0.1%
28000 1
0.1%
28800 1
0.1%
29000 1
0.1%
30000 9
0.6%
33000 1
0.1%
34000 1
0.1%
35000 4
0.3%
38000 2
0.1%
38500 1
0.1%
39620 1
0.1%
40000 6
0.4%
42000 2
0.1%
45000 4
0.3%
45430 1
0.1%
48800 1
0.1%
50000 3
0.2%
51000 1
0.1%
53000 1
0.1%
59000 1
0.1%
60000 3
0.2%
62000 1
0.1%
70000 1
0.1%
75000 1
0.1%
80000 2
0.1%
88350 1
0.1%
90000 1
0.1%
99000 1
0.1%
100000 1
0.1%
104000 1
0.1%
120000 1
0.1%
158000 1
0.1%
186000 1
0.1%
200000 3
0.2%
240000 2
0.1%
250000 2
0.1%
255260 1
0.1%
267000 1
0.1%
300000 3
0.2%
330000 1
0.1%
1800000 1
0.1%
3000000 1
0.1%
Sysmiss 2752
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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