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
58205
Downloads
773
- 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
How much did household pay for the most recently purchased [ITEM]? LD (hh_m_05_1)
Data file: HH_M
Overview
Valid:
48716
Invalid:
210134
Minimum:
0
Maximum:
85000
Mean:
542.647
Standard deviation:
1562.477
Type:
Discrete
Decimal:
0
Start:
77
End:
81
Width:
5
Range:
-
Format:
Questions and instructions
Literal question
How much did household pay for the most recently purchased [ITEM] - LD?
Categories
| Value | Category |
|---|---|
| 0 | |
| 1 | |
| 2 | |
| 3 | |
| 4 | |
| 5 | |
| 6 | |
| 10 | |
| 15 | |
| 18 | |
| 20 | |
| 25 | |
| 30 | |
| 32 | |
| 35 | |
| 40 | |
| 45 | |
| 50 | |
| 55 | |
| 59 | |
| 60 | |
| 65 | |
| 70 | |
| 75 | |
| 80 | |
| 85 | |
| 90 | |
| 95 | |
| 100 | |
| 105 | |
| 110 | |
| 115 | |
| 120 | |
| 125 | |
| 130 | |
| 135 | |
| 140 | |
| 145 | |
| 150 | |
| 155 | |
| 160 | |
| 165 | |
| 170 | |
| 175 | |
| 180 | |
| 185 | |
| 190 | |
| 195 | |
| 200 | |
| 210 | |
| 215 | |
| 220 | |
| 225 | |
| 230 | |
| 235 | |
| 240 | |
| 245 | |
| 250 | |
| 260 | |
| 265 | |
| 270 | |
| 275 | |
| 280 | |
| 285 | |
| 290 | |
| 295 | |
| 300 | |
| 305 | |
| 310 | |
| 315 | |
| 320 | |
| 325 | |
| 330 | |
| 333 | |
| 335 | |
| 340 | |
| 345 | |
| 350 | |
| 355 | |
| 360 | |
| 365 | |
| 370 | |
| 375 | |
| 380 | |
| 385 | |
| 390 | |
| 400 | |
| 405 | |
| 410 | |
| 415 | |
| 420 | |
| 425 | |
| 430 | |
| 435 | |
| 440 | |
| 445 | |
| 450 | |
| 455 | |
| 460 | |
| 465 | |
| 470 | |
| 475 | |
| 480 | |
| 485 | |
| 490 | |
| 500 | |
| 505 | |
| 510 | |
| 515 | |
| 520 | |
| 525 | |
| 530 | |
| 540 | |
| 550 | |
| 555 | |
| 560 | |
| 565 | |
| 570 | |
| 575 | |
| 580 | |
| 585 | |
| 590 | |
| 595 | |
| 600 | |
| 620 | |
| 625 | |
| 630 | |
| 635 | |
| 640 | |
| 650 | |
| 660 | |
| 665 | |
| 670 | |
| 675 | |
| 680 | |
| 690 | |
| 700 | |
| 720 | |
| 725 | |
| 730 | |
| 740 | |
| 750 | |
| 760 | |
| 765 | |
| 770 | |
| 775 | |
| 780 | |
| 785 | |
| 790 | |
| 800 | |
| 820 | |
| 825 | |
| 830 | |
| 840 | |
| 850 | |
| 860 | |
| 870 | |
| 875 | |
| 880 | |
| 885 | |
| 890 | |
| 900 | |
| 910 | |
| 920 | |
| 925 | |
| 930 | |
| 940 | |
| 950 | |
| 960 | |
| 975 | |
| 980 | |
| 1000 | |
| 1020 | |
| 1025 | |
| 1040 | |
| 1050 | |
| 1065 | |
| 1070 | |
| 1075 | |
| 1080 | |
| 1100 | |
| 1120 | |
| 1125 | |
| 1140 | |
| 1150 | |
| 1155 | |
| 1170 | |
| 1180 | |
| 1200 | |
| 1215 | |
| 1225 | |
| 1250 | |
| 1275 | |
| 1280 | |
| 1300 | |
| 1305 | |
| 1325 | |
| 1340 | |
| 1350 | |
| 1360 | |
| 1370 | |
| 1375 | |
| 1380 | |
| 1400 | |
| 1415 | |
| 1425 | |
| 1430 | |
| 1435 | |
| 1450 | |
| 1470 | |
| 1475 | |
| 1485 | |
| 1500 | |
| 1515 | |
| 1540 | |
| 1550 | |
| 1560 | |
| 1575 | |
| 1580 | |
| 1600 | |
| 1620 | |
| 1630 | |
| 1650 | |
| 1670 | |
| 1675 | |
| 1700 | |
| 1720 | |
| 1750 | |
| 1760 | |
| 1775 | |
| 1785 | |
| 1800 | |
| 1810 | |
| 1850 | |
| 1860 | |
| 1870 | |
| 1875 | |
| 1880 | |
| 1890 | |
| 1900 | |
| 1920 | |
| 1950 | |
| 1960 | |
| 1980 | |
| 2000 | |
| 2050 | |
| 2080 | |
| 2100 | |
| 2125 | |
| 2150 | |
| 2175 | |
| 2200 | |
| 2250 | |
| 2260 | |
| 2300 | |
| 2325 | |
| 2350 | |
| 2400 | |
| 2450 | |
| 2475 | |
| 2500 | |
| 2550 | |
| 2600 | |
| 2650 | |
| 2700 | |
| 2750 | |
| 2800 | |
| 2850 | |
| 2900 | |
| 2950 | |
| 2960 | |
| 3000 | |
| 3050 | |
| 3060 | |
| 3075 | |
| 3080 | |
| 3100 | |
| 3125 | |
| 3150 | |
| 3200 | |
| 3250 | |
| 3300 | |
| 3350 | |
| 3400 | |
| 3410 | |
| 3450 | |
| 3500 | |
| 3510 | |
| 3520 | |
| 3560 | |
| 3600 | |
| 3625 | |
| 3650 | |
| 3700 | |
| 3750 | |
| 3800 | |
| 3835 | |
| 3860 | |
| 3875 | |
| 3900 | |
| 3950 | |
| 4000 | |
| 4050 | |
| 4116 | |
| 4200 | |
| 4250 | |
| 4275 | |
| 4280 | |
| 4300 | |
| 4380 | |
| 4400 | |
| 4500 | |
| 4505 | |
| 4580 | |
| 4600 | |
| 4650 | |
| 4700 | |
| 4750 | |
| 4780 | |
| 4800 | |
| 4840 | |
| 4850 | |
| 4870 | |
| 4875 | |
| 4885 | |
| 4900 | |
| 5000 | |
| 5200 | |
| 5250 | |
| 5300 | |
| 5400 | |
| 5500 | |
| 5550 | |
| 5600 | |
| 5700 | |
| 5800 | |
| 5900 | |
| 6000 | |
| 6200 | |
| 6250 | |
| 6300 | |
| 6400 | |
| 6500 | |
| 6540 | |
| 6550 | |
| 6700 | |
| 6800 | |
| 6860 | |
| 7000 | |
| 7050 | |
| 7200 | |
| 7300 | |
| 7500 | |
| 7550 | |
| 7600 | |
| 7650 | |
| 7800 | |
| 7850 | |
| 8000 | |
| 8400 | |
| 8500 | |
| 9000 | |
| 9300 | |
| 9450 | |
| 9500 | |
| 9800 | |
| 9850 | |
| 10000 | |
| 10350 | |
| 10400 | |
| 10500 | |
| 11000 | |
| 11100 | |
| 11500 | |
| 12000 | |
| 12300 | |
| 12500 | |
| 12700 | |
| 13000 | |
| 13500 | |
| 14000 | |
| 15000 | |
| 16000 | |
| 16200 | |
| 17000 | |
| 18000 | |
| 20000 | |
| 21000 | |
| 22000 | |
| 22500 | |
| 23000 | |
| 24000 | |
| 25000 | |
| 25800 | |
| 26000 | |
| 27000 | |
| 28000 | |
| 30000 | |
| 32000 | |
| 34000 | |
| 34800 | |
| 37000 | |
| 40000 | |
| 42000 | |
| 48000 | |
| 75000 | |
| 82000 | |
| 83000 | |
| 84000 | |
| 85000 | |
| 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.