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    Home / Central Data Catalog / LSMS / KHM_2019_LSMS-PLUS_V02_M / variable [F4]
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
134233
Downloads
5310
  • 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

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.
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