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    Home / Food and Agriculture Microdata Catalogue / AGRICULTURAL-SURVEYS / LBR_2016-2017_HIES-W3_V01_EN_M_V01_A_OCS / variable [F40]
agricultural-surveys

Household Income and Expenditure Survey 2016-2017

Liberia, 2016 - 2017
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Reference ID
LBR_2016-2017_HIES-W3_v01_EN_M_v01_A_OCS
Producer(s)
Liberia Institute for Statistics and Geo-Information Services
Collections
Agricultural Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Oct 14, 2020
Last modified
Nov 08, 2022
Page views
69573
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_R1
  • HH_S
  • HH_R

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: 1 - 17800
Format: Numeric

Questions and instructions

Literal question
What did the household pay for the [ITEM]s purchased in the past twelve months - USD?
Categories
Value Category Cases
1 5
0.1%
1.85 1
0%
2 6
0.1%
3 1
0%
4 3
0%
5 230
3.5%
6 3
0%
7 5
0.1%
7.5 6
0.1%
8 4
0.1%
9 12
0.2%
10 651
9.8%
11 7
0.1%
12 25
0.4%
12.5 3
0%
13 16
0.2%
14 2
0%
15 766
11.5%
16 3
0%
17 3
0%
18 12
0.2%
20 824
12.4%
21 1
0%
22 5
0.1%
22.5 2
0%
23 7
0.1%
24 6
0.1%
25 560
8.4%
27 3
0%
28 2
0%
29 1
0%
30 496
7.5%
32 2
0%
33 1
0%
35 264
4%
36 1
0%
37 1
0%
37.5 1
0%
38 2
0%
39 10
0.2%
40 355
5.3%
43 1
0%
45 126
1.9%
48 3
0%
49 10
0.2%
50 231
3.5%
52.5 1
0%
54 1
0%
55 30
0.5%
59 38
0.6%
60 214
3.2%
63 3
0%
65 48
0.7%
68 4
0.1%
69 6
0.1%
70 60
0.9%
72 1
0%
74 5
0.1%
75 115
1.7%
78 1
0%
79 3
0%
80 88
1.3%
84 1
0%
85 23
0.3%
87 1
0%
90 50
0.8%
93 1
0%
95 13
0.2%
97 1
0%
98 2
0%
99 1
0%
100 109
1.6%
104 1
0%
105 8
0.1%
108 1
0%
109 1
0%
110 38
0.6%
112.5 2
0%
115 7
0.1%
117 1
0%
118 3
0%
119 1
0%
120 61
0.9%
125 65
1%
129 1
0%
130 30
0.5%
132 1
0%
135 7
0.1%
136 1
0%
140 20
0.3%
145 1
0%
148 1
0%
149 1
0%
150 157
2.4%
155 4
0.1%
160 19
0.3%
165 6
0.1%
170 8
0.1%
175 43
0.6%
180 26
0.4%
185 4
0.1%
189 1
0%
190 11
0.2%
195 2
0%
198 1
0%
200 54
0.8%
205 1
0%
210 9
0.1%
219 1
0%
220 6
0.1%
225 14
0.2%
230 1
0%
233 1
0%
240 8
0.1%
245 1
0%
246 1
0%
250 70
1.1%
260 3
0%
265 1
0%
269 1
0%
270 2
0%
275 15
0.2%
280 5
0.1%
285 1
0%
290 4
0.1%
295 1
0%
300 52
0.8%
320 3
0%
325 9
0.1%
340 1
0%
350 46
0.7%
360 2
0%
365 1
0%
375 11
0.2%
380 1
0%
390 3
0%
400 15
0.2%
410 2
0%
420 1
0%
425 2
0%
445 1
0%
450 23
0.3%
455 1
0%
460 1
0%
475 3
0%
480 3
0%
500 20
0.3%
515 1
0%
520 2
0%
525 2
0%
530 1
0%
550 8
0.1%
560 1
0%
575 2
0%
580 1
0%
598 1
0%
600 19
0.3%
650 6
0.1%
675 1
0%
680 1
0%
700 2
0%
715 1
0%
725 2
0%
745 1
0%
750 11
0.2%
780 1
0%
800 12
0.2%
802 1
0%
835 1
0%
850 14
0.2%
875 4
0.1%
880 1
0%
900 16
0.2%
910 1
0%
950 24
0.4%
960 2
0%
965 1
0%
970 1
0%
975 4
0.1%
980 1
0%
1000 9
0.1%
1010 1
0%
1050 1
0%
1100 2
0%
1150 1
0%
1200 5
0.1%
1250 3
0%
1350 1
0%
1400 1
0%
1500 4
0.1%
1625 1
0%
1700 1
0%
1750 1
0%
1800 2
0%
2000 1
0%
2200 1
0%
2250 1
0%
2380 1
0%
2500 4
0.1%
2800 1
0%
3000 1
0%
3500 5
0.1%
3800 1
0%
4000 4
0.1%
4200 1
0%
4500 3
0%
6000 2
0%
7300 1
0%
7500 2
0%
8000 1
0%
17800 1
0%
Sysmiss 252205
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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