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    Home / Central Data Catalog / LSMS / KHM_2019_LSMS-PLUS_V02_M / variable [F16]
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
170577
Downloads
6605
  • 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

Educ Expenses: B. Tuition (such as paying for private lession, etc...) (s11q16b)

Data file: hh_sec_11

Overview

Valid: 1432
Invalid: 4919
Minimum: 0
Maximum: 2500000
Type: Discrete
Decimal: 0
Start: 91
End: 97
Width: 7
Range: 0 - 2500000
Format: Numeric

Questions and instructions

Categories
Value Category Cases
0 No expenses / Don't Know 927
64.7%
10000 1
0.1%
12000 2
0.1%
12500 1
0.1%
13000 1
0.1%
14000 2
0.1%
15000 2
0.1%
17500 1
0.1%
18000 3
0.2%
20000 3
0.2%
20800 1
0.1%
21000 1
0.1%
24000 4
0.3%
25000 5
0.3%
30000 3
0.2%
35000 3
0.2%
39000 2
0.1%
40000 7
0.5%
45000 1
0.1%
48000 1
0.1%
50000 5
0.3%
54000 2
0.1%
60000 8
0.6%
64000 1
0.1%
65000 1
0.1%
70000 1
0.1%
72000 1
0.1%
80000 4
0.3%
88000 1
0.1%
90000 6
0.4%
93000 1
0.1%
96000 1
0.1%
100000 21
1.5%
108000 4
0.3%
120000 16
1.1%
128000 1
0.1%
130000 9
0.6%
135000 2
0.1%
140000 4
0.3%
144000 1
0.1%
150000 5
0.3%
156000 4
0.3%
160000 4
0.3%
162000 1
0.1%
170000 1
0.1%
180000 14
1%
195000 1
0.1%
200000 19
1.3%
210000 1
0.1%
216000 5
0.3%
220000 1
0.1%
222000 1
0.1%
225000 2
0.1%
228000 1
0.1%
234000 4
0.3%
235000 1
0.1%
240000 32
2.2%
250000 6
0.4%
252000 1
0.1%
260000 8
0.6%
264000 1
0.1%
269000 1
0.1%
270000 5
0.3%
280000 2
0.1%
286000 1
0.1%
288000 2
0.1%
295200 1
0.1%
300000 18
1.3%
312000 2
0.1%
320000 1
0.1%
324000 3
0.2%
330000 1
0.1%
350000 3
0.2%
360000 23
1.6%
380000 1
0.1%
384000 3
0.2%
390000 2
0.1%
400000 22
1.5%
412500 1
0.1%
420000 2
0.1%
424000 1
0.1%
430000 1
0.1%
432000 4
0.3%
450000 4
0.3%
468000 4
0.3%
480000 16
1.1%
500000 6
0.4%
520000 2
0.1%
540000 3
0.2%
552000 1
0.1%
560000 1
0.1%
576000 4
0.3%
580000 1
0.1%
600000 9
0.6%
624000 1
0.1%
629000 1
0.1%
640000 2
0.1%
648000 5
0.3%
672000 2
0.1%
675000 1
0.1%
687000 1
0.1%
700000 4
0.3%
720000 11
0.8%
744000 1
0.1%
756000 1
0.1%
760000 1
0.1%
780000 1
0.1%
800000 8
0.6%
864000 2
0.1%
900000 2
0.1%
936000 3
0.2%
950000 1
0.1%
960000 3
0.2%
990000 1
0.1%
1000000 7
0.5%
1040000 1
0.1%
1080000 3
0.2%
1125000 1
0.1%
1150000 1
0.1%
1152000 1
0.1%
1200000 9
0.6%
1236000 1
0.1%
1248000 1
0.1%
1280000 1
0.1%
1300000 1
0.1%
1344000 1
0.1%
1400000 1
0.1%
1416000 1
0.1%
1440000 5
0.3%
1500000 1
0.1%
1560000 2
0.1%
1600000 1
0.1%
1620000 1
0.1%
1680000 1
0.1%
1800000 3
0.2%
1920000 2
0.1%
2000000 3
0.2%
2400000 5
0.3%
2500000 1
0.1%
Sysmiss 4919
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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