Household Income and Expenditure Survey 2016
Liberia, 2016 - 2017
Get Microdata
Reference ID
LBR_2016_HIES_v01_M
Producer(s)
Liberia Institute for Statistics and Geo-Information Services
Metadata
Created on
Apr 09, 2018
Last modified
Apr 09, 2018
Page views
238444
Downloads
38058
- 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.