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    Home / Central Data Catalog / LSMS / KHM_2019_LSMS-PLUS_V02_M / variable [F6]
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
134496
Downloads
5340
  • Study Description
  • Data Description
  • Documentation
  • Get Microdata
  • 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. Value In-kind expenditure or gifts received on %rostertitle% during the time (s06q05)

Data file: hh_sec_6

Overview

Valid: 60480
Invalid: 0
Minimum: 0
Maximum: 12144000
Type: Discrete
Decimal: 0
Start: 78
End: 85
Width: 8
Range: 0 - 12144000
Format: Numeric

Questions and instructions

Categories
Value Category Cases
0 Nothing 58757
97.2%
1000 5
0%
1500 2
0%
2000 7
0%
2500 9
0%
3000 11
0%
3500 1
0%
4000 14
0%
4500 2
0%
5000 40
0.1%
5500 1
0%
6000 15
0%
7000 6
0%
7500 7
0%
8000 21
0%
8200 1
0%
8400 1
0%
9000 2
0%
9900 1
0%
10000 92
0.2%
10500 1
0%
11000 3
0%
12000 30
0%
13000 5
0%
13200 1
0%
13500 1
0%
15000 66
0.1%
16000 17
0%
17000 2
0%
17500 2
0%
18000 9
0%
18500 1
0%
19000 2
0%
20000 155
0.3%
21000 1
0%
21500 1
0%
22000 1
0%
23000 1
0%
23500 1
0%
24000 6
0%
25000 28
0%
25200 1
0%
26000 1
0%
26500 1
0%
27000 4
0%
28000 5
0%
30000 93
0.2%
32000 8
0%
33000 1
0%
34400 1
0%
34500 1
0%
35000 32
0.1%
36000 5
0%
37000 1
0%
38000 3
0%
40000 88
0.1%
42000 2
0%
44000 1
0%
45000 12
0%
47000 1
0%
47500 1
0%
48000 7
0%
50000 116
0.2%
52000 3
0%
53000 2
0%
54000 4
0%
55000 4
0%
56000 3
0%
57000 1
0%
60000 62
0.1%
62000 2
0%
62500 1
0%
64000 1
0%
65000 6
0%
66000 2
0%
67200 1
0%
70000 11
0%
75000 4
0%
76000 1
0%
80000 54
0.1%
83500 1
0%
85000 5
0%
87500 1
0%
88000 1
0%
90000 7
0%
95000 2
0%
96000 2
0%
99000 1
0%
100000 120
0.2%
105000 1
0%
108000 2
0%
110000 2
0%
120000 38
0.1%
130000 5
0%
132000 2
0%
135000 1
0%
136000 1
0%
140000 4
0%
144000 1
0%
145000 1
0%
150000 36
0.1%
160000 10
0%
164000 2
0%
168000 1
0%
170000 3
0%
180000 14
0%
189000 1
0%
195000 1
0%
198000 1
0%
200000 90
0.1%
210000 1
0%
232000 1
0%
235000 1
0%
240000 10
0%
250000 13
0%
260000 3
0%
270000 2
0%
280000 1
0%
300000 26
0%
312000 1
0%
320000 2
0%
327000 1
0%
350000 8
0%
360000 1
0%
396000 1
0%
400000 31
0.1%
420000 1
0%
450000 2
0%
500000 16
0%
510000 1
0%
540000 1
0%
550000 1
0%
555000 1
0%
560000 2
0%
580000 1
0%
600000 20
0%
620000 1
0%
635800 1
0%
700000 5
0%
760000 1
0%
800000 11
0%
900000 2
0%
960000 1
0%
1000000 12
0%
1080000 1
0%
1200000 7
0%
1289000 1
0%
1500000 1
0%
1620000 1
0%
1730000 1
0%
1800000 3
0%
1935000 1
0%
2000000 8
0%
2400000 3
0%
2405000 1
0%
2440000 1
0%
2500000 4
0%
2520000 1
0%
2604000 1
0%
2700000 1
0%
3000000 3
0%
3120000 1
0%
3420000 1
0%
3550000 1
0%
3800000 1
0%
3960000 1
0%
4000000 4
0%
4600000 1
0%
4800000 1
0%
6000000 2
0%
6720000 1
0%
7200000 2
0%
8000000 3
0%
9000000 1
0%
10000000 1
0%
12000000 2
0%
12100000 1
0%
12144000 1
0%
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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