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
95331
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
27a. How much did the household spend on ELECTRICITY last month (including light (s04q27a)
Data file: hh_sec_4
Overview
Valid:
1512
Invalid:
0
Minimum:
0
Maximum:
800000
Type:
Discrete
Decimal:
0
Start:
91
End:
96
Width:
6
Range:
0 - 800000
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 0 | Did not spend anything | 303 |
20%
|
| 1400 | 1 |
0.1%
|
|
| 1500 | 3 |
0.2%
|
|
| 1900 | 2 |
0.1%
|
|
| 2000 | 4 |
0.3%
|
|
| 2500 | 1 |
0.1%
|
|
| 3000 | 9 |
0.6%
|
|
| 3500 | 1 |
0.1%
|
|
| 3600 | 1 |
0.1%
|
|
| 3800 | 1 |
0.1%
|
|
| 4000 | 4 |
0.3%
|
|
| 4500 | 1 |
0.1%
|
|
| 4600 | 1 |
0.1%
|
|
| 4800 | 1 |
0.1%
|
|
| 4900 | 1 |
0.1%
|
|
| 5000 | 13 |
0.9%
|
|
| 5200 | 2 |
0.1%
|
|
| 5300 | 1 |
0.1%
|
|
| 5400 | 1 |
0.1%
|
|
| 5700 | 1 |
0.1%
|
|
| 5900 | 1 |
0.1%
|
|
| 6000 | 8 |
0.5%
|
|
| 6100 | 1 |
0.1%
|
|
| 6400 | 1 |
0.1%
|
|
| 6600 | 1 |
0.1%
|
|
| 6700 | 2 |
0.1%
|
|
| 6800 | 1 |
0.1%
|
|
| 7000 | 9 |
0.6%
|
|
| 7100 | 1 |
0.1%
|
|
| 7200 | 3 |
0.2%
|
|
| 7400 | 1 |
0.1%
|
|
| 7500 | 2 |
0.1%
|
|
| 7700 | 1 |
0.1%
|
|
| 7800 | 2 |
0.1%
|
|
| 8000 | 12 |
0.8%
|
|
| 8100 | 1 |
0.1%
|
|
| 8500 | 10 |
0.7%
|
|
| 8700 | 2 |
0.1%
|
|
| 9000 | 7 |
0.5%
|
|
| 9100 | 2 |
0.1%
|
|
| 9200 | 1 |
0.1%
|
|
| 9300 | 1 |
0.1%
|
|
| 9500 | 2 |
0.1%
|
|
| 9600 | 1 |
0.1%
|
|
| 9800 | 1 |
0.1%
|
|
| 10000 | 60 |
4%
|
|
| 10500 | 1 |
0.1%
|
|
| 11000 | 13 |
0.9%
|
|
| 11100 | 2 |
0.1%
|
|
| 11500 | 2 |
0.1%
|
|
| 12000 | 51 |
3.4%
|
|
| 12200 | 1 |
0.1%
|
|
| 12500 | 2 |
0.1%
|
|
| 12900 | 1 |
0.1%
|
|
| 13000 | 15 |
1%
|
|
| 13200 | 1 |
0.1%
|
|
| 13300 | 1 |
0.1%
|
|
| 13500 | 1 |
0.1%
|
|
| 14000 | 15 |
1%
|
|
| 14900 | 1 |
0.1%
|
|
| 15000 | 89 |
5.9%
|
|
| 15300 | 3 |
0.2%
|
|
| 15800 | 1 |
0.1%
|
|
| 16000 | 12 |
0.8%
|
|
| 16200 | 1 |
0.1%
|
|
| 16300 | 2 |
0.1%
|
|
| 17000 | 16 |
1.1%
|
|
| 17300 | 1 |
0.1%
|
|
| 17500 | 3 |
0.2%
|
|
| 17800 | 1 |
0.1%
|
|
| 18000 | 25 |
1.7%
|
|
| 18200 | 1 |
0.1%
|
|
| 18500 | 6 |
0.4%
|
|
| 18700 | 1 |
0.1%
|
|
| 18800 | 1 |
0.1%
|
|
| 19000 | 9 |
0.6%
|
|
| 19200 | 1 |
0.1%
|
|
| 19500 | 2 |
0.1%
|
|
| 19900 | 1 |
0.1%
|
|
| 20000 | 93 |
6.2%
|
|
| 20400 | 1 |
0.1%
|
|
| 20800 | 2 |
0.1%
|
|
| 21000 | 11 |
0.7%
|
|
| 21100 | 1 |
0.1%
|
|
| 21700 | 1 |
0.1%
|
|
| 22000 | 11 |
0.7%
|
|
| 22400 | 2 |
0.1%
|
|
| 22500 | 1 |
0.1%
|
|
| 22600 | 1 |
0.1%
|
|
| 23000 | 12 |
0.8%
|
|
| 24000 | 6 |
0.4%
|
|
| 24500 | 2 |
0.1%
|
|
| 25000 | 52 |
3.4%
|
|
| 26000 | 5 |
0.3%
|
|
| 27000 | 6 |
0.4%
|
|
| 27500 | 1 |
0.1%
|
|
| 27600 | 1 |
0.1%
|
|
| 28000 | 9 |
0.6%
|
|
| 30000 | 65 |
4.3%
|
|
| 31000 | 1 |
0.1%
|
|
| 31200 | 1 |
0.1%
|
|
| 31500 | 1 |
0.1%
|
|
| 32000 | 13 |
0.9%
|
|
| 32500 | 1 |
0.1%
|
|
| 33000 | 5 |
0.3%
|
|
| 33500 | 3 |
0.2%
|
|
| 34000 | 1 |
0.1%
|
|
| 34200 | 1 |
0.1%
|
|
| 34800 | 1 |
0.1%
|
|
| 35000 | 24 |
1.6%
|
|
| 35200 | 1 |
0.1%
|
|
| 36000 | 6 |
0.4%
|
|
| 36600 | 1 |
0.1%
|
|
| 37000 | 1 |
0.1%
|
|
| 37500 | 1 |
0.1%
|
|
| 38000 | 3 |
0.2%
|
|
| 38500 | 1 |
0.1%
|
|
| 39000 | 3 |
0.2%
|
|
| 40000 | 47 |
3.1%
|
|
| 40800 | 1 |
0.1%
|
|
| 41000 | 1 |
0.1%
|
|
| 42000 | 3 |
0.2%
|
|
| 42700 | 3 |
0.2%
|
|
| 43000 | 3 |
0.2%
|
|
| 44000 | 1 |
0.1%
|
|
| 45000 | 19 |
1.3%
|
|
| 46000 | 2 |
0.1%
|
|
| 47000 | 3 |
0.2%
|
|
| 47100 | 1 |
0.1%
|
|
| 47620 | 1 |
0.1%
|
|
| 48000 | 8 |
0.5%
|
|
| 49000 | 1 |
0.1%
|
|
| 49200 | 1 |
0.1%
|
|
| 49400 | 1 |
0.1%
|
|
| 50000 | 41 |
2.7%
|
|
| 52000 | 5 |
0.3%
|
|
| 53500 | 1 |
0.1%
|
|
| 53700 | 1 |
0.1%
|
|
| 54000 | 1 |
0.1%
|
|
| 55000 | 8 |
0.5%
|
|
| 56000 | 2 |
0.1%
|
|
| 57000 | 2 |
0.1%
|
|
| 57500 | 1 |
0.1%
|
|
| 57900 | 1 |
0.1%
|
|
| 58000 | 1 |
0.1%
|
|
| 58800 | 1 |
0.1%
|
|
| 60000 | 19 |
1.3%
|
|
| 61000 | 1 |
0.1%
|
|
| 63000 | 1 |
0.1%
|
|
| 64000 | 1 |
0.1%
|
|
| 65000 | 3 |
0.2%
|
|
| 66000 | 1 |
0.1%
|
|
| 67000 | 2 |
0.1%
|
|
| 67500 | 1 |
0.1%
|
|
| 67800 | 1 |
0.1%
|
|
| 68000 | 1 |
0.1%
|
|
| 70000 | 17 |
1.1%
|
|
| 72000 | 1 |
0.1%
|
|
| 73000 | 1 |
0.1%
|
|
| 75000 | 4 |
0.3%
|
|
| 76000 | 1 |
0.1%
|
|
| 76920 | 1 |
0.1%
|
|
| 80000 | 25 |
1.7%
|
|
| 81000 | 1 |
0.1%
|
|
| 85000 | 3 |
0.2%
|
|
| 89000 | 1 |
0.1%
|
|
| 90000 | 5 |
0.3%
|
|
| 92000 | 1 |
0.1%
|
|
| 92500 | 1 |
0.1%
|
|
| 94000 | 1 |
0.1%
|
|
| 95000 | 3 |
0.2%
|
|
| 97000 | 1 |
0.1%
|
|
| 98000 | 1 |
0.1%
|
|
| 100000 | 25 |
1.7%
|
|
| 102000 | 1 |
0.1%
|
|
| 110000 | 2 |
0.1%
|
|
| 112000 | 1 |
0.1%
|
|
| 113500 | 1 |
0.1%
|
|
| 120000 | 14 |
0.9%
|
|
| 123500 | 1 |
0.1%
|
|
| 124000 | 1 |
0.1%
|
|
| 130000 | 2 |
0.1%
|
|
| 140000 | 2 |
0.1%
|
|
| 145600 | 1 |
0.1%
|
|
| 146000 | 1 |
0.1%
|
|
| 150000 | 9 |
0.6%
|
|
| 170000 | 5 |
0.3%
|
|
| 180000 | 3 |
0.2%
|
|
| 181300 | 1 |
0.1%
|
|
| 190000 | 2 |
0.1%
|
|
| 200000 | 11 |
0.7%
|
|
| 201000 | 1 |
0.1%
|
|
| 210000 | 1 |
0.1%
|
|
| 220000 | 2 |
0.1%
|
|
| 238000 | 1 |
0.1%
|
|
| 240000 | 1 |
0.1%
|
|
| 250000 | 7 |
0.5%
|
|
| 260000 | 2 |
0.1%
|
|
| 270000 | 1 |
0.1%
|
|
| 300000 | 6 |
0.4%
|
|
| 320000 | 2 |
0.1%
|
|
| 330000 | 1 |
0.1%
|
|
| 340000 | 1 |
0.1%
|
|
| 347000 | 1 |
0.1%
|
|
| 350000 | 2 |
0.1%
|
|
| 360000 | 1 |
0.1%
|
|
| 380000 | 1 |
0.1%
|
|
| 390000 | 1 |
0.1%
|
|
| 400000 | 3 |
0.2%
|
|
| 420000 | 1 |
0.1%
|
|
| 430000 | 1 |
0.1%
|
|
| 500000 | 3 |
0.2%
|
|
| 520000 | 1 |
0.1%
|
|
| 580000 | 1 |
0.1%
|
|
| 600000 | 3 |
0.2%
|
|
| 650000 | 1 |
0.1%
|
|
| 700000 | 1 |
0.1%
|
|
| 800000 | 1 |
0.1%
|
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.