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    Home / Central Data Catalog / KHM_2019_LSMS-PLUS_V02_M / variable [F26]
central

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
Page views
14279
Downloads
132
  • Study Description
  • Data Dictionary
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  • Data files
  • hh_sec_1
  • hh_sec_2
  • hh_sec_3
  • hh_sec_4
  • hh_sec_5
  • hh_sec_6
  • hh_sec_7a
  • hh_sec_7b
  • hh_sec_7b_hhlabor
  • hh_sec_7b_nonhhlabor
  • hh_sec_7c
  • hh_sec_7d
  • hh_sec_8
  • hh_sec_9
  • hh_sec_10
  • hh_sec_11
  • hh_sec_12
  • hh_sec_13a
  • hh_sec_13b
  • hh_sec_14
  • hh_sec_15
  • hh_sec_16a
  • hh_sec_16b
  • hh_sec_16c
  • hh_sec_17a
  • hh_sec_17b
  • hh_sec_18a
  • hh_sec_18b
  • hh_sec_19a
  • hh_sec_19b
  • hh_sec_20a
  • hh_sec_20b
  • individual_cover

5. If you were to sell today these %rostertitle% that you exclusively own, how m (s17q05)

Data file: hh_sec_17b

Overview

Valid: 1195
Invalid: 2691
Minimum: 97
Maximum: 80000000
Type: Discrete
Decimal: 0
Start: 52
End: 59
Width: 8
Range: 97 - 80000000
Format: Numeric

Questions and instructions

Categories
Value Category Cases
97 Refuse to answer 8
0.7%
9999 Don't know 14
1.2%
10000 1
0.1%
15000 6
0.5%
16000 1
0.1%
17000 3
0.3%
18000 3
0.3%
20000 14
1.2%
25000 3
0.3%
27000 1
0.1%
28000 1
0.1%
30000 19
1.6%
34000 3
0.3%
36000 6
0.5%
38000 2
0.2%
40000 20
1.7%
45000 7
0.6%
47000 1
0.1%
48000 3
0.3%
50000 39
3.3%
52000 1
0.1%
54000 1
0.1%
57000 1
0.1%
60000 38
3.2%
63000 1
0.1%
64000 1
0.1%
65000 3
0.3%
66000 1
0.1%
68000 1
0.1%
70000 12
1%
72000 1
0.1%
75000 21
1.8%
76500 1
0.1%
80000 20
1.7%
84000 2
0.2%
85000 2
0.2%
86000 1
0.1%
90000 15
1.3%
93000 1
0.1%
95000 1
0.1%
96000 2
0.2%
97500 2
0.2%
100000 55
4.6%
105000 3
0.3%
106000 1
0.1%
107000 1
0.1%
110000 2
0.2%
112000 1
0.1%
120000 29
2.4%
125000 1
0.1%
126000 1
0.1%
130000 9
0.8%
136000 1
0.1%
140000 4
0.3%
145000 1
0.1%
150000 44
3.7%
160000 11
0.9%
168000 1
0.1%
170000 7
0.6%
180000 11
0.9%
182000 1
0.1%
185000 1
0.1%
189000 1
0.1%
190000 2
0.2%
195000 2
0.2%
200000 38
3.2%
210000 3
0.3%
225000 2
0.2%
230000 4
0.3%
235000 1
0.1%
240000 6
0.5%
250000 22
1.8%
260000 3
0.3%
270000 4
0.3%
280000 1
0.1%
289000 1
0.1%
300000 42
3.5%
306000 1
0.1%
320000 4
0.3%
324000 3
0.3%
340000 1
0.1%
350000 8
0.7%
360000 2
0.2%
370000 2
0.2%
375000 1
0.1%
390000 1
0.1%
400000 12
1%
420000 1
0.1%
450000 3
0.3%
480000 2
0.2%
500000 18
1.5%
510000 1
0.1%
540000 2
0.2%
600000 13
1.1%
612000 1
0.1%
700000 11
0.9%
750000 1
0.1%
800000 14
1.2%
860000 1
0.1%
900000 3
0.3%
960000 1
0.1%
1000000 33
2.8%
1100000 3
0.3%
1200000 21
1.8%
1300000 3
0.3%
1350000 1
0.1%
1400000 2
0.2%
1500000 17
1.4%
1600000 7
0.6%
1700000 3
0.3%
1800000 9
0.8%
1900000 1
0.1%
2000000 51
4.3%
2100000 1
0.1%
2200000 3
0.3%
2300000 3
0.3%
2400000 4
0.3%
2500000 25
2.1%
2600000 3
0.3%
2700000 1
0.1%
2800000 7
0.6%
3000000 43
3.6%
3200000 4
0.3%
3300000 1
0.1%
3400000 2
0.2%
3500000 8
0.7%
3600000 3
0.3%
3700000 2
0.2%
3800000 3
0.3%
3900000 1
0.1%
4000000 53
4.4%
4100000 1
0.1%
4200000 2
0.2%
4300000 1
0.1%
4500000 7
0.6%
4600000 1
0.1%
4700000 1
0.1%
4800000 1
0.1%
5000000 17
1.4%
5200000 4
0.3%
5400000 2
0.2%
5500000 3
0.3%
5600000 2
0.2%
5700000 1
0.1%
6000000 25
2.1%
6000008 1
0.1%
6500000 4
0.3%
6800000 2
0.2%
7000000 11
0.9%
7200000 1
0.1%
7500000 3
0.3%
7600000 1
0.1%
7800000 2
0.2%
8000000 16
1.3%
8200000 1
0.1%
8600000 1
0.1%
9000000 9
0.8%
10000000 12
1%
10200000 1
0.1%
10500000 1
0.1%
10800000 1
0.1%
11200000 1
0.1%
11800000 1
0.1%
12000000 12
1%
12940000 1
0.1%
14000000 3
0.3%
15000000 2
0.2%
16000000 2
0.2%
18000000 1
0.1%
20000000 4
0.3%
22000000 1
0.1%
24000000 1
0.1%
31050000 1
0.1%
34500000 1
0.1%
36000000 1
0.1%
80000000 2
0.2%
Sysmiss 2691
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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