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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
Mar 29, 2019
Page views
58708
Downloads
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  • Study Description
  • Data Dictionary
  • Downloads
  • 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_S
  • HH_R
  • LBR_16_E

What did the household pay for the [ITEM]s purchased in the past twelve months? (hh_m_03_2)

Data file: HH_M

Overview

Valid: 6645
Invalid: 252205
Minimum: 1
Maximum: 17800
Mean: 99.908
Standard deviation: 395.374
Type: Discrete
Decimal: 0
Start: 72
End: 76
Width: 5
Range: -
Format:

Questions and instructions

Literal question
What did the household pay for the [ITEM]s purchased in the past twelve months - USD?
Categories
Value Category
1
1.85
2
3
4
5
6
7
7.5
8
9
10
11
12
12.5
13
14
15
16
17
18
20
21
22
22.5
23
24
25
27
28
29
30
32
33
35
36
37
37.5
38
39
40
43
45
48
49
50
52.5
54
55
59
60
63
65
68
69
70
72
74
75
78
79
80
84
85
87
90
93
95
97
98
99
100
104
105
108
109
110
112.5
115
117
118
119
120
125
129
130
132
135
136
140
145
148
149
150
155
160
165
170
175
180
185
189
190
195
198
200
205
210
219
220
225
230
233
240
245
246
250
260
265
269
270
275
280
285
290
295
300
320
325
340
350
360
365
375
380
390
400
410
420
425
445
450
455
460
475
480
500
515
520
525
530
550
560
575
580
598
600
650
675
680
700
715
725
745
750
780
800
802
835
850
875
880
900
910
950
960
965
970
975
980
1000
1010
1050
1100
1150
1200
1250
1350
1400
1500
1625
1700
1750
1800
2000
2200
2250
2380
2500
2800
3000
3500
3800
4000
4200
4500
6000
7300
7500
8000
17800
Sysmiss
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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