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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
69726
Downloads
206
  • 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 price would you get today if you resold the most recently purchased [ITEM]? (hh_m_06_2)

Data file: HH_M

Overview

Valid: 48717
Invalid: 210133
Minimum: 0
Maximum: 25000
Mean: 27.255
Standard deviation: 262.42
Type: Discrete
Decimal: 0
Start: 92
End: 96
Width: 5
Range: 0 - 25000
Format: Numeric

Questions and instructions

Literal question
What price would you get today if you resold the most recently purchased [ITEM] - USD?
Categories
Value Category Cases
0 35377
72.6%
0.4 1
0%
0.5 1
0%
0.75 1
0%
1 9
0%
1.5 2
0%
2 68
0.1%
2.5 7
0%
3 105
0.2%
3.5 1
0%
4 107
0.2%
4.5 2
0%
5 1404
2.9%
6 49
0.1%
6.2 1
0%
7 122
0.3%
7.5 26
0.1%
8 210
0.4%
9 38
0.1%
10 2148
4.4%
10.1 1
0%
10.5 1
0%
11 5
0%
12 40
0.1%
12.5 4
0%
13 18
0%
14 14
0%
15 1402
2.9%
16 6
0%
17 7
0%
17.5 1
0%
18 22
0%
19 4
0%
20 1318
2.7%
21 1
0%
22 6
0%
23 1
0%
24 3
0%
25 617
1.3%
28 1
0%
29 2
0%
30 648
1.3%
32 1
0%
34 1
0%
35 213
0.4%
36 2
0%
38 3
0%
39 3
0%
40 455
0.9%
45 59
0.1%
49 1
0%
50 431
0.9%
55 23
0%
59 4
0%
60 268
0.6%
65 32
0.1%
70 123
0.3%
75 235
0.5%
80 173
0.4%
85 19
0%
90 85
0.2%
95 3
0%
100 568
1.2%
105 1
0%
110 25
0.1%
115 8
0%
120 108
0.2%
125 131
0.3%
130 40
0.1%
135 3
0%
140 57
0.1%
145 2
0%
150 312
0.6%
155 1
0%
160 21
0%
165 2
0%
170 20
0%
175 85
0.2%
180 31
0.1%
185 2
0%
190 16
0%
200 331
0.7%
210 4
0%
220 10
0%
225 8
0%
230 4
0%
235 1
0%
240 9
0%
245 1
0%
250 129
0.3%
260 6
0%
270 6
0%
275 18
0%
280 8
0%
285 1
0%
290 6
0%
300 169
0.3%
310 1
0%
320 3
0%
325 6
0%
330 1
0%
340 2
0%
350 53
0.1%
360 3
0%
365 1
0%
370 4
0%
375 7
0%
390 1
0%
400 106
0.2%
410 1
0%
425 2
0%
430 1
0%
440 1
0%
450 26
0.1%
470 2
0%
475 3
0%
480 2
0%
485 1
0%
490 1
0%
500 64
0.1%
520 1
0%
525 1
0%
550 16
0%
580 1
0%
600 54
0.1%
650 8
0%
660 1
0%
675 2
0%
700 37
0.1%
710 1
0%
750 17
0%
800 36
0.1%
840 1
0%
850 6
0%
900 20
0%
950 1
0%
1000 15
0%
1200 6
0%
1250 4
0%
1300 3
0%
1400 2
0%
1450 1
0%
1500 17
0%
1700 1
0%
1800 1
0%
2000 14
0%
2200 1
0%
2300 1
0%
2400 1
0%
2500 7
0%
2700 2
0%
2800 2
0%
3000 12
0%
3100 1
0%
3200 1
0%
3400 1
0%
3500 15
0%
3700 1
0%
4000 9
0%
4400 1
0%
4560 1
0%
4700 1
0%
5000 3
0%
5200 1
0%
5500 3
0%
5900 1
0%
6000 1
0%
6500 1
0%
7000 3
0%
7300 1
0%
7500 1
0%
8000 2
0%
10500 1
0%
15400 1
0%
18000 1
0%
20000 1
0%
25000 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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