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Living Standards Measurement Study - Plus 2019-2020

Cambodia, 2019 - 2020
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Reference ID
KHM_2019_LSMS-PLUS_v02_M
Producer(s)
Cambodia National Institute of Statistics (NIS)
Metadata
DDI/XML JSON
Created on
Oct 14, 2021
Last modified
Oct 14, 2021
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42. During the last 12 months, how much did you receive in allowances, gratuitie (s14q42)

Data file: hh_sec_14

Overview

Valid: 1747
Invalid: 4604
Minimum: 0
Maximum: 28000000
Type: Discrete
Decimal: 0
Start: 150
End: 157
Width: 8
Range: 0 - 28000000
Format: Numeric

Questions and instructions

Categories
Value Category Cases
0 Nothing 1140
65.3%
12 1
0.1%
30 1
0.1%
59 1
0.1%
150 1
0.1%
2880 1
0.1%
10000 1
0.1%
15000 1
0.1%
28000 1
0.1%
30000 1
0.1%
36000 1
0.1%
40000 15
0.9%
45000 1
0.1%
48000 1
0.1%
50000 7
0.4%
51000 1
0.1%
60000 6
0.3%
66000 1
0.1%
66400 1
0.1%
70000 2
0.1%
72000 3
0.2%
80000 16
0.9%
84000 1
0.1%
85000 1
0.1%
90000 1
0.1%
96000 1
0.1%
100000 50
2.9%
104000 1
0.1%
105000 2
0.1%
116000 1
0.1%
120000 18
1%
125000 1
0.1%
128000 2
0.1%
130000 2
0.1%
135000 1
0.1%
140000 3
0.2%
150000 11
0.6%
152000 2
0.1%
156000 1
0.1%
160000 9
0.5%
180000 5
0.3%
188000 1
0.1%
192000 4
0.2%
196000 1
0.1%
198000 1
0.1%
200000 40
2.3%
210000 1
0.1%
216000 2
0.1%
228000 1
0.1%
230000 2
0.1%
236000 5
0.3%
240000 6
0.3%
250000 4
0.2%
260000 5
0.3%
268000 1
0.1%
270000 2
0.1%
272000 10
0.6%
280000 1
0.1%
288000 1
0.1%
300000 21
1.2%
303000 1
0.1%
310000 1
0.1%
312000 1
0.1%
320000 2
0.1%
340000 1
0.1%
348000 2
0.1%
350000 2
0.1%
360000 9
0.5%
384000 3
0.2%
392000 1
0.1%
400000 26
1.5%
440000 1
0.1%
448000 1
0.1%
450000 7
0.4%
464000 1
0.1%
480000 3
0.2%
500000 3
0.2%
540000 4
0.2%
544000 1
0.1%
570000 2
0.1%
572000 2
0.1%
576000 3
0.2%
585000 1
0.1%
600000 12
0.7%
616000 1
0.1%
624000 4
0.2%
672000 2
0.1%
680000 1
0.1%
720000 2
0.1%
730000 1
0.1%
788000 1
0.1%
800000 12
0.7%
816000 2
0.1%
824000 2
0.1%
825000 1
0.1%
868000 1
0.1%
872000 1
0.1%
876000 1
0.1%
912000 1
0.1%
944000 2
0.1%
960000 2
0.1%
984000 1
0.1%
1000000 14
0.8%
1040000 1
0.1%
1053000 1
0.1%
1080000 1
0.1%
1104000 1
0.1%
1120000 1
0.1%
1152000 2
0.1%
1200000 9
0.5%
1225000 1
0.1%
1240000 1
0.1%
1344000 3
0.2%
1400000 4
0.2%
1440000 1
0.1%
1500000 3
0.2%
1584000 1
0.1%
1600000 7
0.4%
1632000 1
0.1%
1700000 1
0.1%
1800000 9
0.5%
1840000 1
0.1%
1920000 1
0.1%
1980000 1
0.1%
2000000 13
0.7%
2040000 1
0.1%
2080000 1
0.1%
2160000 1
0.1%
2208000 1
0.1%
2304000 8
0.5%
2400000 4
0.2%
2500000 3
0.2%
2570000 1
0.1%
2648000 1
0.1%
2680000 1
0.1%
2784000 2
0.1%
2808000 1
0.1%
2860000 1
0.1%
2880000 1
0.1%
3000000 5
0.3%
3024000 1
0.1%
3050000 1
0.1%
3200000 3
0.2%
3264000 7
0.4%
3500000 1
0.1%
3600000 5
0.3%
3648000 1
0.1%
3650000 1
0.1%
3744000 1
0.1%
3840000 3
0.2%
4000000 7
0.4%
4018000 1
0.1%
4024000 1
0.1%
4040000 1
0.1%
4080000 1
0.1%
4224000 1
0.1%
4320000 1
0.1%
4464000 1
0.1%
4656000 1
0.1%
4800000 2
0.1%
5000000 1
0.1%
5364000 1
0.1%
5400000 2
0.1%
5488000 1
0.1%
5568000 1
0.1%
5640000 1
0.1%
5666400 1
0.1%
6000000 5
0.3%
6840000 1
0.1%
7024000 1
0.1%
7200000 2
0.1%
7500000 1
0.1%
8000000 1
0.1%
8064000 1
0.1%
8250000 1
0.1%
8400000 1
0.1%
8600000 1
0.1%
8700000 1
0.1%
8800000 1
0.1%
9064000 1
0.1%
9945000 1
0.1%
10000000 3
0.2%
10744000 1
0.1%
10800000 1
0.1%
10860000 1
0.1%
12000000 1
0.1%
12480000 1
0.1%
12864000 1
0.1%
14000000 1
0.1%
14400000 2
0.1%
15000000 1
0.1%
22800000 1
0.1%
28000000 1
0.1%
Sysmiss 4604
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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