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
Mar 29, 2019
Page views
58719
Downloads
774
- 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 price would you get today if you resold the most recently purchased [ITEM]? (hh_m_06_1)
Data file: HH_M
Overview
Valid:
48719
Invalid:
210131
Minimum:
0
Maximum:
80000
Mean:
370.808
Standard deviation:
1125.522
Type:
Discrete
Decimal:
0
Start:
87
End:
91
Width:
5
Range:
-
Format:
Questions and instructions
Literal question
What price would you get today if you resold the most recently purchased [ITEM] - LD?
Categories
| Value | Category |
|---|---|
| 0 | |
| 1 | |
| 4 | |
| 5 | |
| 9 | |
| 10 | |
| 15 | |
| 16 | |
| 18 | |
| 20 | |
| 25 | |
| 30 | |
| 35 | |
| 36 | |
| 40 | |
| 45 | |
| 50 | |
| 55 | |
| 60 | |
| 65 | |
| 70 | |
| 75 | |
| 80 | |
| 85 | |
| 90 | |
| 95 | |
| 100 | |
| 105 | |
| 110 | |
| 115 | |
| 120 | |
| 125 | |
| 130 | |
| 135 | |
| 140 | |
| 145 | |
| 150 | |
| 155 | |
| 160 | |
| 170 | |
| 175 | |
| 180 | |
| 185 | |
| 190 | |
| 200 | |
| 210 | |
| 215 | |
| 220 | |
| 225 | |
| 230 | |
| 235 | |
| 240 | |
| 245 | |
| 250 | |
| 255 | |
| 260 | |
| 265 | |
| 270 | |
| 275 | |
| 280 | |
| 290 | |
| 300 | |
| 310 | |
| 315 | |
| 320 | |
| 325 | |
| 330 | |
| 333 | |
| 340 | |
| 350 | |
| 360 | |
| 370 | |
| 375 | |
| 380 | |
| 385 | |
| 390 | |
| 400 | |
| 410 | |
| 415 | |
| 420 | |
| 425 | |
| 430 | |
| 435 | |
| 440 | |
| 450 | |
| 455 | |
| 460 | |
| 465 | |
| 470 | |
| 475 | |
| 480 | |
| 490 | |
| 500 | |
| 510 | |
| 520 | |
| 525 | |
| 550 | |
| 560 | |
| 575 | |
| 580 | |
| 590 | |
| 595 | |
| 600 | |
| 605 | |
| 620 | |
| 625 | |
| 630 | |
| 640 | |
| 650 | |
| 660 | |
| 670 | |
| 675 | |
| 680 | |
| 685 | |
| 700 | |
| 710 | |
| 720 | |
| 725 | |
| 730 | |
| 735 | |
| 750 | |
| 760 | |
| 770 | |
| 775 | |
| 780 | |
| 790 | |
| 800 | |
| 820 | |
| 825 | |
| 830 | |
| 840 | |
| 850 | |
| 870 | |
| 875 | |
| 890 | |
| 900 | |
| 910 | |
| 940 | |
| 950 | |
| 980 | |
| 1000 | |
| 1050 | |
| 1100 | |
| 1125 | |
| 1150 | |
| 1200 | |
| 1220 | |
| 1225 | |
| 1250 | |
| 1260 | |
| 1280 | |
| 1300 | |
| 1350 | |
| 1375 | |
| 1400 | |
| 1420 | |
| 1425 | |
| 1450 | |
| 1500 | |
| 1550 | |
| 1600 | |
| 1650 | |
| 1700 | |
| 1750 | |
| 1775 | |
| 1800 | |
| 1840 | |
| 1850 | |
| 1860 | |
| 1900 | |
| 1950 | |
| 1980 | |
| 2000 | |
| 2050 | |
| 2100 | |
| 2150 | |
| 2200 | |
| 2250 | |
| 2300 | |
| 2400 | |
| 2500 | |
| 2600 | |
| 2640 | |
| 2650 | |
| 2700 | |
| 2750 | |
| 2800 | |
| 2850 | |
| 2900 | |
| 2950 | |
| 3000 | |
| 3100 | |
| 3116 | |
| 3125 | |
| 3150 | |
| 3200 | |
| 3250 | |
| 3500 | |
| 3600 | |
| 3700 | |
| 3800 | |
| 3900 | |
| 4000 | |
| 4050 | |
| 4100 | |
| 4200 | |
| 4250 | |
| 4300 | |
| 4400 | |
| 4500 | |
| 4600 | |
| 4750 | |
| 4800 | |
| 4900 | |
| 5000 | |
| 5100 | |
| 5200 | |
| 5400 | |
| 5500 | |
| 5800 | |
| 5900 | |
| 6000 | |
| 6200 | |
| 6500 | |
| 6600 | |
| 7000 | |
| 7100 | |
| 7200 | |
| 7500 | |
| 8000 | |
| 8500 | |
| 9000 | |
| 9500 | |
| 10000 | |
| 10500 | |
| 11000 | |
| 11200 | |
| 12000 | |
| 12900 | |
| 13000 | |
| 14000 | |
| 15000 | |
| 16000 | |
| 16980 | |
| 18000 | |
| 20000 | |
| 22000 | |
| 24000 | |
| 25000 | |
| 28000 | |
| 30000 | |
| 31000 | |
| 35000 | |
| 46000 | |
| 50000 | |
| 60000 | |
| 69000 | |
| 80000 | |
| 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.