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    Home / Central Data Catalog / LSMS / KHM_2019_LSMS-PLUS_V02_M / variable [F17]
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
136918
Downloads
5399
  • 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

11. How much in total was spent on treatment at any health provider in the past (s12q11)

Data file: hh_sec_12

Overview

Valid: 2287
Invalid: 4064
Minimum: 0
Maximum: 28000000
Type: Discrete
Decimal: 0
Start: 92
End: 99
Width: 8
Range: 0 - 28000000
Format: Numeric

Questions and instructions

Categories
Value Category Cases
0 Nothing 150
6.6%
1000 8
0.3%
1200 1
0%
1500 2
0.1%
2000 58
2.5%
2500 7
0.3%
3000 35
1.5%
3200 1
0%
3500 9
0.4%
4000 31
1.4%
4500 4
0.2%
5000 107
4.7%
5500 1
0%
6000 40
1.7%
7000 16
0.7%
7500 9
0.4%
8000 37
1.6%
8500 1
0%
9000 6
0.3%
10000 166
7.3%
10500 1
0%
11000 1
0%
12000 52
2.3%
12500 1
0%
13000 9
0.4%
13500 2
0.1%
14000 4
0.2%
15000 111
4.9%
16000 10
0.4%
17000 2
0.1%
18000 9
0.4%
20000 152
6.6%
21500 1
0%
22000 4
0.2%
22500 1
0%
23000 2
0.1%
24000 8
0.3%
25000 41
1.8%
26000 2
0.1%
27000 4
0.2%
28000 4
0.2%
30000 103
4.5%
31500 1
0%
32000 1
0%
33000 1
0%
35000 21
0.9%
36000 1
0%
38000 1
0%
40000 62
2.7%
42000 1
0%
43000 1
0%
44000 1
0%
45000 8
0.3%
47500 1
0%
48000 1
0%
50000 92
4%
52000 5
0.2%
53000 1
0%
54000 2
0.1%
55000 1
0%
56000 1
0%
57000 1
0%
58000 1
0%
59000 1
0%
60000 63
2.8%
62000 2
0.1%
65000 10
0.4%
66000 1
0%
67000 2
0.1%
68000 1
0%
70000 28
1.2%
72000 3
0.1%
75000 9
0.4%
80000 42
1.8%
85000 1
0%
90000 8
0.3%
95000 1
0%
100000 97
4.2%
105000 1
0%
110000 5
0.2%
115000 4
0.2%
120000 38
1.7%
130000 8
0.3%
139000 1
0%
140000 7
0.3%
145000 2
0.1%
150000 50
2.2%
155000 1
0%
160000 9
0.4%
163000 1
0%
164000 1
0%
170000 4
0.2%
180000 14
0.6%
185000 1
0%
190000 2
0.1%
192000 1
0%
195000 2
0.1%
200000 100
4.4%
202000 1
0%
205000 1
0%
210000 3
0.1%
215000 1
0%
220000 4
0.2%
230000 4
0.2%
234000 1
0%
240000 4
0.2%
243000 1
0%
248000 1
0%
250000 21
0.9%
260000 6
0.3%
270000 4
0.2%
272000 1
0%
280000 9
0.4%
290000 1
0%
300000 48
2.1%
320000 4
0.2%
330000 1
0%
340000 1
0%
350000 10
0.4%
360000 5
0.2%
380000 5
0.2%
390000 1
0%
400000 49
2.1%
410000 1
0%
420000 1
0%
430000 4
0.2%
440000 2
0.1%
450000 3
0.1%
465000 2
0.1%
476000 1
0%
480000 4
0.2%
500000 27
1.2%
520000 1
0%
550000 2
0.1%
560000 2
0.1%
600000 19
0.8%
620000 1
0%
640000 1
0%
650000 2
0.1%
680000 1
0%
700000 6
0.3%
750000 2
0.1%
800000 13
0.6%
850000 1
0%
900000 4
0.2%
920000 1
0%
1000000 17
0.7%
1010000 1
0%
1070000 1
0%
1100000 3
0.1%
1200000 9
0.4%
1212000 1
0%
1260000 1
0%
1290000 1
0%
1320000 1
0%
1400000 1
0%
1500000 3
0.1%
1576000 1
0%
1600000 2
0.1%
2000000 6
0.3%
2320000 1
0%
2400000 1
0%
2800000 1
0%
3600000 1
0%
3650000 1
0%
3800000 1
0%
4000000 1
0%
4800000 1
0%
6000000 1
0%
8000000 1
0%
14000000 1
0%
28000000 1
0%
Sysmiss 4064
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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