Home / Central Data Catalog / LSMS / KHM_2019_LSMS-PLUS_V02_M / variable [F22]
lsms

Living Standards Measurement Study - Plus 2019-2020

Cambodia, 2019 - 2020
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Reference ID
KHM_2019_LSMS-PLUS_v02_M
DOI
https://doi.org/10.48529/agcn-nn81
Producer(s)
Cambodia National Institute of Statistics (NIS)
Collection(s)
Living Standards Measurement Study (LSMS)
Metadata
Documentation in PDF DDI/XML JSON
Created on
Sep 03, 2021
Last modified
Nov 01, 2021
Page views
132591
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22. If this %rostertitle% were to be sold today, how much could be received for (s16q22)

Data file: hh_sec_16a

Overview

Valid: 5216
Invalid: 2056
Minimum: 97
Maximum: 2000000000
Type: Discrete
Decimal: 0
Start: 79
End: 88
Width: 10
Range: 97 - 2000000000
Format: Numeric

Questions and instructions

Categories
Value Category Cases
97 Refuse to answer 157
3%
100 1
0%
200 2
0%
300 3
0.1%
350 1
0%
400 4
0.1%
500 20
0.4%
550 1
0%
600 11
0.2%
700 9
0.2%
800 11
0.2%
850 1
0%
900 2
0%
1000 82
1.6%
1200 7
0.1%
1250 2
0%
1300 5
0.1%
1400 1
0%
1500 66
1.3%
1600 4
0.1%
1700 5
0.1%
1800 15
0.3%
2000 145
2.8%
2100 2
0%
2200 2
0%
2300 4
0.1%
2500 59
1.1%
2600 1
0%
2700 3
0.1%
2800 6
0.1%
3000 173
3.3%
3100 2
0%
3200 4
0.1%
3300 1
0%
3500 33
0.6%
3600 1
0%
3700 1
0%
3800 1
0%
4000 96
1.8%
4200 2
0%
4250 1
0%
4300 3
0.1%
4500 24
0.5%
4600 1
0%
4700 1
0%
4800 1
0%
5000 191
3.7%
5400 1
0%
5500 7
0.1%
5600 1
0%
5700 1
0%
5750 1
0%
5800 1
0%
6000 105
2%
6200 2
0%
6500 11
0.2%
6600 1
0%
6800 1
0%
6900 1
0%
7000 58
1.1%
7500 18
0.3%
8000 96
1.8%
8200 1
0%
8250 1
0%
8400 1
0%
8500 13
0.2%
8600 1
0%
9000 24
0.5%
9500 3
0.1%
9600 1
0%
9999 Don't know 696
13.3%
10000 181
3.5%
10500 1
0%
11000 15
0.3%
11200 1
0%
11400 1
0%
11500 2
0%
11800 1
0%
12000 68
1.3%
12250 1
0%
12400 1
0%
12500 3
0.1%
12800 1
0%
13000 30
0.6%
13050 2
0%
13500 2
0%
14000 12
0.2%
14400 2
0%
15000 134
2.6%
15750 1
0%
16000 12
0.2%
17000 15
0.3%
17500 3
0.1%
18000 21
0.4%
18750 2
0%
19000 3
0.1%
20000 128
2.5%
21000 4
0.1%
21700 2
0%
22000 8
0.2%
23000 8
0.2%
24000 5
0.1%
25000 52
1%
26000 2
0%
27000 4
0.1%
28000 10
0.2%
30000 116
2.2%
32000 6
0.1%
34000 2
0%
34200 3
0.1%
35000 18
0.3%
36000 9
0.2%
37500 2
0%
38000 2
0%
39000 1
0%
40000 72
1.4%
40500 3
0.1%
42000 2
0%
42500 1
0%
43000 1
0%
45000 20
0.4%
48000 4
0.1%
50000 90
1.7%
52000 1
0%
52500 1
0%
53000 1
0%
55000 1
0%
58000 2
0%
60000 43
0.8%
60500 1
0%
62500 1
0%
63000 1
0%
65000 2
0%
66000 1
0%
68000 1
0%
70000 31
0.6%
74000 1
0%
75000 5
0.1%
78000 1
0%
80000 28
0.5%
85000 1
0%
90000 3
0.1%
96000 2
0%
100000 31
0.6%
108000 1
0%
110000 3
0.1%
120000 11
0.2%
130000 1
0%
138000 1
0%
140000 3
0.1%
150000 20
0.4%
156000 2
0%
160000 3
0.1%
170000 1
0%
180000 2
0%
200000 19
0.4%
209000 1
0%
219000 1
0%
220000 6
0.1%
240000 1
0%
250000 7
0.1%
280000 2
0%
300000 9
0.2%
319200 1
0%
320000 1
0%
350000 1
0%
380000 2
0%
400000 4
0.1%
425000 1
0%
450000 2
0%
500000 6
0.1%
600000 7
0.1%
700000 1
0%
800000 2
0%
900000 1
0%
1000000 17
0.3%
1200000 7
0.1%
1300000 1
0%
1430000 1
0%
1500000 5
0.1%
1800000 1
0%
1950000 2
0%
2000000 33
0.6%
2300000 1
0%
2400000 1
0%
2500000 8
0.2%
2600000 1
0%
2800000 3
0.1%
3000000 41
0.8%
3080000 1
0%
3200000 2
0%
3500000 8
0.2%
3900000 2
0%
4000000 55
1.1%
4500000 6
0.1%
4800000 1
0%
5000000 19
0.4%
5200000 2
0%
5600000 1
0%
6000000 60
1.2%
6400000 1
0%
6500000 2
0%
6800000 1
0%
7000000 16
0.3%
7200000 1
0%
7500000 4
0.1%
7800000 3
0.1%
8000000 75
1.4%
8500000 2
0%
9000000 7
0.1%
9600000 1
0%
10000000 44
0.8%
11000000 1
0%
12000000 81
1.6%
12350000 1
0%
13000000 5
0.1%
13500000 5
0.1%
14000000 15
0.3%
14200000 1
0%
14400000 5
0.1%
15000000 18
0.3%
16000000 51
1%
16800000 1
0%
17000000 1
0%
18000000 19
0.4%
19500000 1
0%
20000000 121
2.3%
20400000 1
0%
21000000 1
0%
21120000 1
0%
21970000 1
0%
22000000 1
0%
22400000 1
0%
24000000 51
1%
25000000 10
0.2%
26000000 4
0.1%
26800000 1
0%
27000000 1
0%
27300000 1
0%
28000000 40
0.8%
28350000 2
0%
30000000 17
0.3%
32000000 38
0.7%
35000000 3
0.1%
35100000 1
0%
36000000 13
0.2%
38400000 1
0%
39000000 2
0%
39200000 2
0%
40000000 87
1.7%
40100000 1
0%
40200000 1
0%
40500000 3
0.1%
42000000 3
0.1%
42900000 1
0%
44000000 3
0.1%
45000000 4
0.1%
46000000 1
0%
46800000 1
0%
48000000 27
0.5%
50000000 10
0.2%
52000000 7
0.1%
54000000 1
0%
54600000 1
0%
55000000 1
0%
56000000 4
0.1%
58000000 1
0%
60000000 67
1.3%
62000000 3
0.1%
62400000 1
0%
64000000 7
0.1%
64800000 2
0%
65000000 4
0.1%
68000000 3
0.1%
72000000 12
0.2%
75000000 2
0%
80000000 75
1.4%
82000000 5
0.1%
84000000 3
0.1%
85000000 3
0.1%
85800000 2
0%
88000000 2
0%
90000000 3
0.1%
92000000 1
0%
95000000 2
0%
96000000 6
0.1%
100000000 50
1%
112000000 4
0.1%
120000000 55
1.1%
130000000 2
0%
131040000 1
0%
135000000 1
0%
140000000 19
0.4%
150000000 4
0.1%
150000008 1
0%
156000000 1
0%
157950000 2
0%
160000000 41
0.8%
168000000 2
0%
180000000 8
0.2%
184500000 1
0%
193600000 1
0%
200000000 29
0.6%
205000000 1
0%
224000000 3
0.1%
225000000 1
0%
240000000 9
0.2%
249600000 1
0%
256000000 2
0%
258000000 1
0%
280000000 7
0.1%
292000000 1
0%
294600000 1
0%
300000000 1
0%
320000000 4
0.1%
350000000 2
0%
360000000 4
0.1%
380000000 1
0%
400000000 23
0.4%
400400000 1
0%
440000000 3
0.1%
480000000 3
0.1%
520000000 1
0%
540000000 2
0%
600000000 4
0.1%
640000000 1
0%
680000000 1
0%
800000000 7
0.1%
1200000000 2
0%
1280000000 1
0%
1600000000 2
0%
2000000000 3
0.1%
Sysmiss 2056
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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