Living Standards Measurement Study - Plus 2019-2020
Cambodia, 2019 - 2020
Get Microdata
Reference ID
KHM_2019_LSMS-PLUS_v02_M
Producer(s)
Cambodia National Institute of Statistics (NIS)
Collection(s)
Metadata
Created on
Sep 03, 2021
Last modified
Nov 01, 2021
Page views
95463
Downloads
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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
Educ Expenses: F. Transport cost (s11q16f)
Data file: hh_sec_11
Overview
Valid:
1432
Invalid:
4919
Minimum:
0
Maximum:
1000000
Type:
Discrete
Decimal:
0
Start:
119
End:
125
Width:
7
Range:
0 - 1000000
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 0 | No expenses / Don't Know | 1141 |
79.7%
|
| 10000 | 2 |
0.1%
|
|
| 12000 | 2 |
0.1%
|
|
| 15000 | 4 |
0.3%
|
|
| 16000 | 2 |
0.1%
|
|
| 17000 | 1 |
0.1%
|
|
| 18000 | 1 |
0.1%
|
|
| 20000 | 14 |
1%
|
|
| 25000 | 4 |
0.3%
|
|
| 30000 | 6 |
0.4%
|
|
| 32000 | 2 |
0.1%
|
|
| 40000 | 6 |
0.4%
|
|
| 42000 | 1 |
0.1%
|
|
| 45000 | 2 |
0.1%
|
|
| 50000 | 11 |
0.8%
|
|
| 56000 | 1 |
0.1%
|
|
| 58500 | 1 |
0.1%
|
|
| 60000 | 8 |
0.6%
|
|
| 65000 | 1 |
0.1%
|
|
| 70000 | 2 |
0.1%
|
|
| 80000 | 10 |
0.7%
|
|
| 96000 | 1 |
0.1%
|
|
| 98000 | 1 |
0.1%
|
|
| 100000 | 5 |
0.3%
|
|
| 105000 | 3 |
0.2%
|
|
| 111000 | 1 |
0.1%
|
|
| 120000 | 4 |
0.3%
|
|
| 126000 | 1 |
0.1%
|
|
| 130000 | 1 |
0.1%
|
|
| 140000 | 2 |
0.1%
|
|
| 144000 | 2 |
0.1%
|
|
| 145000 | 1 |
0.1%
|
|
| 150000 | 5 |
0.3%
|
|
| 154000 | 1 |
0.1%
|
|
| 168000 | 1 |
0.1%
|
|
| 180000 | 4 |
0.3%
|
|
| 200000 | 9 |
0.6%
|
|
| 210000 | 2 |
0.1%
|
|
| 220000 | 2 |
0.1%
|
|
| 224000 | 2 |
0.1%
|
|
| 234000 | 1 |
0.1%
|
|
| 240000 | 3 |
0.2%
|
|
| 245000 | 1 |
0.1%
|
|
| 250000 | 3 |
0.2%
|
|
| 252000 | 5 |
0.3%
|
|
| 273600 | 2 |
0.1%
|
|
| 280000 | 3 |
0.2%
|
|
| 288000 | 5 |
0.3%
|
|
| 294000 | 1 |
0.1%
|
|
| 300000 | 9 |
0.6%
|
|
| 308000 | 1 |
0.1%
|
|
| 315000 | 4 |
0.3%
|
|
| 320000 | 5 |
0.3%
|
|
| 330000 | 1 |
0.1%
|
|
| 336000 | 3 |
0.2%
|
|
| 350000 | 4 |
0.3%
|
|
| 360000 | 4 |
0.3%
|
|
| 367500 | 1 |
0.1%
|
|
| 378000 | 3 |
0.2%
|
|
| 380000 | 1 |
0.1%
|
|
| 384000 | 3 |
0.2%
|
|
| 400000 | 10 |
0.7%
|
|
| 410000 | 2 |
0.1%
|
|
| 420000 | 2 |
0.1%
|
|
| 432000 | 2 |
0.1%
|
|
| 450000 | 4 |
0.3%
|
|
| 453600 | 1 |
0.1%
|
|
| 468000 | 3 |
0.2%
|
|
| 472000 | 1 |
0.1%
|
|
| 472500 | 3 |
0.2%
|
|
| 480000 | 6 |
0.4%
|
|
| 500000 | 11 |
0.8%
|
|
| 500500 | 1 |
0.1%
|
|
| 504000 | 1 |
0.1%
|
|
| 520000 | 4 |
0.3%
|
|
| 540000 | 3 |
0.2%
|
|
| 546000 | 1 |
0.1%
|
|
| 560000 | 2 |
0.1%
|
|
| 576000 | 2 |
0.1%
|
|
| 600000 | 7 |
0.5%
|
|
| 624000 | 2 |
0.1%
|
|
| 630000 | 1 |
0.1%
|
|
| 648000 | 2 |
0.1%
|
|
| 650000 | 1 |
0.1%
|
|
| 672000 | 1 |
0.1%
|
|
| 720000 | 6 |
0.4%
|
|
| 756000 | 1 |
0.1%
|
|
| 780000 | 1 |
0.1%
|
|
| 800000 | 8 |
0.6%
|
|
| 840000 | 2 |
0.1%
|
|
| 864000 | 1 |
0.1%
|
|
| 900000 | 2 |
0.1%
|
|
| 912000 | 1 |
0.1%
|
|
| 1000000 | 4 |
0.3%
|
|
| 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.