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Living Standards Measurement Study - Plus 2019-2020

Cambodia, 2019 - 2020
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Reference ID
KHM_2019_LSMS-PLUS_v02_M
Producer(s)
Cambodia National Institute of Statistics (NIS)
Metadata
DDI/XML JSON
Created on
Oct 14, 2021
Last modified
Oct 14, 2021
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9. If you were to sell today these %rostertitle% that you jointly own, how much (s17q09)

Data file: hh_sec_17b

Overview

Valid: 2800
Invalid: 1086
Minimum: 97
Maximum: 80000000
Type: Discrete
Decimal: 0
Start: 71
End: 78
Width: 8
Range: 97 - 80000000
Format: Numeric

Questions and instructions

Categories
Value Category Cases
97 Refuse to answer 19
0.7%
1300 1
0%
6000 1
0%
9999 Don't know 48
1.7%
10000 3
0.1%
15000 6
0.2%
16000 1
0%
17000 2
0.1%
20000 19
0.7%
21000 1
0%
24000 2
0.1%
25000 3
0.1%
28000 2
0.1%
30000 26
0.9%
32000 2
0.1%
34000 3
0.1%
35000 9
0.3%
36000 15
0.5%
38000 1
0%
40000 33
1.2%
42000 1
0%
45000 12
0.4%
47000 1
0%
48000 3
0.1%
50000 68
2.4%
51000 1
0%
54000 4
0.1%
55000 3
0.1%
57000 1
0%
60000 91
3.3%
62000 1
0%
64000 1
0%
65000 12
0.4%
67000 1
0%
69000 1
0%
70000 29
1%
72000 4
0.1%
75000 31
1.1%
76500 1
0%
80000 58
2.1%
84000 4
0.1%
85000 5
0.2%
90000 37
1.3%
93000 1
0%
95000 3
0.1%
96000 4
0.1%
97500 3
0.1%
98000 1
0%
100000 135
4.8%
102000 1
0%
105000 4
0.1%
106000 1
0%
107000 1
0%
108000 4
0.1%
110000 4
0.1%
112000 1
0%
117000 1
0%
120000 73
2.6%
125000 4
0.1%
126000 2
0.1%
127500 1
0%
128000 2
0.1%
130000 17
0.6%
132000 1
0%
135000 2
0.1%
136000 1
0%
140000 10
0.4%
144000 3
0.1%
150000 151
5.4%
154000 2
0.1%
156000 1
0%
157500 1
0%
160000 29
1%
162000 1
0%
165000 1
0%
170000 16
0.6%
175000 1
0%
180000 32
1.1%
182000 1
0%
190000 3
0.1%
192000 1
0%
195000 7
0.3%
198000 1
0%
200000 104
3.7%
200008 1
0%
204000 1
0%
210000 5
0.2%
216000 2
0.1%
220000 4
0.1%
221000 1
0%
224000 1
0%
225000 3
0.1%
230000 10
0.4%
235000 1
0%
238000 2
0.1%
240000 14
0.5%
245000 1
0%
250000 48
1.7%
255000 2
0.1%
260000 3
0.1%
270000 14
0.5%
280000 11
0.4%
289000 1
0%
290000 1
0%
300000 116
4.1%
304000 1
0%
310000 1
0%
320000 7
0.3%
324000 2
0.1%
340000 5
0.2%
350000 19
0.7%
360000 9
0.3%
370000 3
0.1%
374000 1
0%
375000 1
0%
380000 2
0.1%
390000 3
0.1%
400000 55
2%
420000 1
0%
450000 18
0.6%
480000 6
0.2%
500000 40
1.4%
510000 2
0.1%
525000 1
0%
540000 3
0.1%
550000 1
0%
600000 42
1.5%
640000 2
0.1%
650000 2
0.1%
660000 1
0%
700000 16
0.6%
702000 2
0.1%
714000 1
0%
720000 2
0.1%
800000 29
1%
850000 1
0%
900000 10
0.4%
950000 1
0%
1000000 51
1.8%
1100000 2
0.1%
1200000 43
1.5%
1250000 1
0%
1300000 19
0.7%
1350000 1
0%
1400000 6
0.2%
1480000 1
0%
1500000 51
1.8%
1560000 1
0%
1600000 12
0.4%
1632000 1
0%
1690000 1
0%
1700000 3
0.1%
1732000 1
0%
1800000 25
0.9%
1900000 1
0%
2000000 101
3.6%
2100000 2
0.1%
2200000 6
0.2%
2300000 6
0.2%
2400000 8
0.3%
2500000 46
1.6%
2600000 7
0.3%
2700000 4
0.1%
2800000 12
0.4%
2900000 1
0%
3000000 111
4%
3100000 1
0%
3200000 7
0.3%
3300000 3
0.1%
3400000 7
0.3%
3450000 1
0%
3500000 15
0.5%
3600000 4
0.1%
3900000 3
0.1%
4000000 91
3.3%
4200000 10
0.4%
4300000 1
0%
4400000 1
0%
4500000 29
1%
4600000 2
0.1%
4800000 4
0.1%
5000000 51
1.8%
5100000 2
0.1%
5200000 6
0.2%
5400000 3
0.1%
5500000 4
0.1%
5600000 3
0.1%
5700000 1
0%
5850000 1
0%
6000000 76
2.7%
6400000 2
0.1%
6500000 5
0.2%
6800000 6
0.2%
7000000 17
0.6%
7200000 5
0.2%
7500000 6
0.2%
7750000 2
0.1%
7800000 3
0.1%
8000000 42
1.5%
8200000 1
0%
8400000 3
0.1%
8500000 1
0%
9000000 15
0.5%
10000000 29
1%
10800000 2
0.1%
11000000 4
0.1%
11200000 1
0%
12000000 24
0.9%
12600000 1
0%
12840000 1
0%
13000000 1
0%
13500000 1
0%
14000000 4
0.1%
14500000 1
0%
14960000 1
0%
15000000 1
0%
16000000 10
0.4%
18000000 9
0.3%
20000000 9
0.3%
22000000 1
0%
23000000 1
0%
24000000 3
0.1%
30000000 4
0.1%
50000000 1
0%
80000000 2
0.1%
Sysmiss 1086
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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