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    Home / Central Data Catalog / LBR_2016_HIES_V01_M / variable [F40]
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Household Income and Expenditure Survey 2016

Liberia, 2016 - 2017
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Reference ID
LBR_2016_HIES_v01_M
Producer(s)
Liberia Institute for Statistics and Geo-Information Services
Metadata
Documentation in PDF DDI/XML JSON
Created on
Apr 09, 2018
Last modified
Apr 09, 2018
Page views
283989
Downloads
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  • Study Description
  • Data Description
  • Documentation
  • Get Microdata
  • Data files
  • AG_01_&_FILT
  • AG_02
  • AG_03
  • AG_04
  • AG_5A_1
  • AG_5A_2
  • AG_5A_3
  • AG_5A_4
  • AG_5B_1
  • AG_5B_2
  • AG_5B_3
  • AG_5B_4
  • AG_06
  • AG_07
  • AG_08
  • AG_09
  • AG_10A_1
  • AG_10A_2
  • AG_10B
  • AG_11
  • AG_12
  • ALLHH_A_weighted
  • HH_A&FILT
  • HH_B
  • HH_C
  • HH_D
  • HH_E
  • HH_F
  • HH_G
  • HH_H
  • HH_I1
  • HH_I2
  • HH_J1
  • HH_J2
  • HH_K1
  • HH_K2
  • HH_L1A
  • HH_L1B
  • HH_L2
  • HH_M
  • HH_N1
  • HH_N2
  • HH_N3
  • HH_O
  • HH_P1
  • HH_P2
  • HH_Q
  • HH_R1
  • HH_S
  • HH_R

How much did household pay for the most recently purchased [ITEM]? USD (hh_m_05_2)

Data file: HH_M

Overview

Valid: 48717
Invalid: 210133
Minimum: 0
Maximum: 30000
Mean: 37.558
Standard deviation: 326.777
Type: Discrete
Decimal: 0
Start: 82
End: 86
Width: 5
Range: 0 - 30000
Format: Numeric

Questions and instructions

Literal question
How much did household pay for the most recently purchased [ITEM] - USD?
Categories
Value Category Cases
0 34379
70.6%
1 3
0%
1.5 3
0%
1.8 1
0%
1.85 1
0%
2 8
0%
2.5 1
0%
3 2
0%
3.33 1
0%
3.75 1
0%
3.85 1
0%
4 7
0%
4.5 1
0%
5 592
1.2%
6 12
0%
6.66 1
0%
7 45
0.1%
7.5 188
0.4%
8 43
0.1%
8.5 1
0%
9 19
0%
9.5 1
0%
10 1697
3.5%
10.5 1
0%
11 10
0%
11.6 1
0%
12 54
0.1%
12.5 61
0.1%
13 23
0%
14 7
0%
15 1454
3%
16 6
0%
17 6
0%
17.5 4
0%
18 21
0%
18.75 2
0%
20 1574
3.2%
21 1
0%
22 8
0%
22.5 3
0%
23 14
0%
23.33 1
0%
23.5 1
0%
24 10
0%
25 1054
2.2%
26 3
0%
27 6
0%
28 6
0%
29 5
0%
29.5 1
0%
30 850
1.7%
31 1
0%
32 4
0%
32.5 2
0%
33 1
0%
35 540
1.1%
36 5
0%
37 2
0%
37.5 1
0%
38 3
0%
39 16
0%
40 614
1.3%
42 2
0%
42.5 1
0%
43 2
0%
44 1
0%
45 205
0.4%
47 1
0%
48 2
0%
49 10
0%
50 426
0.9%
52 1
0%
55 29
0.1%
58 1
0%
59 70
0.1%
60 332
0.7%
62 1
0%
65 90
0.2%
66.67 1
0%
67 2
0%
68 3
0%
69 7
0%
70 82
0.2%
75 305
0.6%
77 1
0%
78.5 1
0%
79 1
0%
80 160
0.3%
85 41
0.1%
87.5 1
0%
90 107
0.2%
93 1
0%
95 14
0%
97 1
0%
98 1
0%
100 273
0.6%
105 3
0%
110 63
0.1%
115 9
0%
117 1
0%
120 111
0.2%
125 229
0.5%
127.5 1
0%
128 1
0%
130 41
0.1%
135 20
0%
136 1
0%
140 34
0.1%
143.75 1
0%
145 3
0%
147.5 1
0%
150 500
1%
155 5
0%
160 51
0.1%
162 1
0%
162.5 1
0%
165 8
0%
170 20
0%
175 190
0.4%
180 76
0.2%
182 1
0%
185 7
0%
190 23
0%
195 3
0%
200 174
0.4%
205 1
0%
210 12
0%
215 7
0%
220 11
0%
225 67
0.1%
230 7
0%
235 1
0%
238.3 1
0%
240 16
0%
246 1
0%
250 248
0.5%
255 1
0%
258 1
0%
260 14
0%
265 1
0%
266.6 1
0%
269 1
0%
270 8
0%
275 58
0.1%
280 14
0%
285 1
0%
290 4
0%
295 1
0%
300 124
0.3%
305 1
0%
310 4
0%
320 4
0%
325 15
0%
340 2
0%
350 127
0.3%
360 8
0%
370 2
0%
375 28
0.1%
380 7
0%
390 3
0%
400 72
0.1%
405 1
0%
410 2
0%
420 3
0%
425 5
0%
430 1
0%
450 69
0.1%
460 2
0%
470 2
0%
475 9
0%
480 5
0%
500 60
0.1%
520 1
0%
525 2
0%
550 19
0%
560 2
0%
570 1
0%
575 3
0%
600 49
0.1%
630 1
0%
632 1
0%
650 14
0%
660 1
0%
675 4
0%
680 1
0%
690 1
0%
700 18
0%
715 1
0%
740 1
0%
750 42
0.1%
780 2
0%
790 2
0%
800 34
0.1%
820 1
0%
835 1
0%
850 39
0.1%
865 1
0%
875 7
0%
880 5
0%
890 1
0%
900 42
0.1%
950 44
0.1%
960 2
0%
965 1
0%
970 1
0%
975 10
0%
977 1
0%
980 1
0%
985 1
0%
990 1
0%
1000 24
0%
1050 4
0%
1100 4
0%
1150 6
0%
1160 1
0%
1200 13
0%
1250 4
0%
1300 2
0%
1350 2
0%
1400 1
0%
1500 12
0%
1530 1
0%
1600 1
0%
1700 3
0%
1750 1
0%
1800 3
0%
2000 4
0%
2450 1
0%
2500 6
0%
2800 2
0%
3000 5
0%
3200 2
0%
3500 12
0%
3600 1
0%
3700 1
0%
3800 3
0%
4000 15
0%
4100 2
0%
4200 3
0%
4300 1
0%
4500 12
0%
4800 1
0%
4900 1
0%
5000 4
0%
5100 1
0%
5500 1
0%
6000 5
0%
6200 1
0%
6500 1
0%
7000 4
0%
7300 1
0%
7500 3
0%
8000 4
0%
10000 2
0%
15000 1
0%
17800 1
0%
20000 1
0%
25000 1
0%
30000 1
0%
Sysmiss 210133
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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