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
58902
Downloads
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- 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]? USD (hh_m_05_2)
Data file: HH_M
Overview
Valid:
48717
Invalid:
210133
Minimum:
0
Maximum:
30000
Mean:
37.558
Standard deviation:
326.777
Type:
Discrete
Decimal:
0
Start:
82
End:
86
Width:
5
Range:
-
Format:
Questions and instructions
Literal question
How much did household pay for the most recently purchased [ITEM] - USD?
Categories
| Value | Category |
|---|---|
| 0 | |
| 1 | |
| 1.5 | |
| 1.8 | |
| 1.85 | |
| 2 | |
| 2.5 | |
| 3 | |
| 3.33 | |
| 3.75 | |
| 3.85 | |
| 4 | |
| 4.5 | |
| 5 | |
| 6 | |
| 6.66 | |
| 7 | |
| 7.5 | |
| 8 | |
| 8.5 | |
| 9 | |
| 9.5 | |
| 10 | |
| 10.5 | |
| 11 | |
| 11.6 | |
| 12 | |
| 12.5 | |
| 13 | |
| 14 | |
| 15 | |
| 16 | |
| 17 | |
| 17.5 | |
| 18 | |
| 18.75 | |
| 20 | |
| 21 | |
| 22 | |
| 22.5 | |
| 23 | |
| 23.33 | |
| 23.5 | |
| 24 | |
| 25 | |
| 26 | |
| 27 | |
| 28 | |
| 29 | |
| 29.5 | |
| 30 | |
| 31 | |
| 32 | |
| 32.5 | |
| 33 | |
| 35 | |
| 36 | |
| 37 | |
| 37.5 | |
| 38 | |
| 39 | |
| 40 | |
| 42 | |
| 42.5 | |
| 43 | |
| 44 | |
| 45 | |
| 47 | |
| 48 | |
| 49 | |
| 50 | |
| 52 | |
| 55 | |
| 58 | |
| 59 | |
| 60 | |
| 62 | |
| 65 | |
| 66.67 | |
| 67 | |
| 68 | |
| 69 | |
| 70 | |
| 75 | |
| 77 | |
| 78.5 | |
| 79 | |
| 80 | |
| 85 | |
| 87.5 | |
| 90 | |
| 93 | |
| 95 | |
| 97 | |
| 98 | |
| 100 | |
| 105 | |
| 110 | |
| 115 | |
| 117 | |
| 120 | |
| 125 | |
| 127.5 | |
| 128 | |
| 130 | |
| 135 | |
| 136 | |
| 140 | |
| 143.75 | |
| 145 | |
| 147.5 | |
| 150 | |
| 155 | |
| 160 | |
| 162 | |
| 162.5 | |
| 165 | |
| 170 | |
| 175 | |
| 180 | |
| 182 | |
| 185 | |
| 190 | |
| 195 | |
| 200 | |
| 205 | |
| 210 | |
| 215 | |
| 220 | |
| 225 | |
| 230 | |
| 235 | |
| 238.3 | |
| 240 | |
| 246 | |
| 250 | |
| 255 | |
| 258 | |
| 260 | |
| 265 | |
| 266.6 | |
| 269 | |
| 270 | |
| 275 | |
| 280 | |
| 285 | |
| 290 | |
| 295 | |
| 300 | |
| 305 | |
| 310 | |
| 320 | |
| 325 | |
| 340 | |
| 350 | |
| 360 | |
| 370 | |
| 375 | |
| 380 | |
| 390 | |
| 400 | |
| 405 | |
| 410 | |
| 420 | |
| 425 | |
| 430 | |
| 450 | |
| 460 | |
| 470 | |
| 475 | |
| 480 | |
| 500 | |
| 520 | |
| 525 | |
| 550 | |
| 560 | |
| 570 | |
| 575 | |
| 600 | |
| 630 | |
| 632 | |
| 650 | |
| 660 | |
| 675 | |
| 680 | |
| 690 | |
| 700 | |
| 715 | |
| 740 | |
| 750 | |
| 780 | |
| 790 | |
| 800 | |
| 820 | |
| 835 | |
| 850 | |
| 865 | |
| 875 | |
| 880 | |
| 890 | |
| 900 | |
| 950 | |
| 960 | |
| 965 | |
| 970 | |
| 975 | |
| 977 | |
| 980 | |
| 985 | |
| 990 | |
| 1000 | |
| 1050 | |
| 1100 | |
| 1150 | |
| 1160 | |
| 1200 | |
| 1250 | |
| 1300 | |
| 1350 | |
| 1400 | |
| 1500 | |
| 1530 | |
| 1600 | |
| 1700 | |
| 1750 | |
| 1800 | |
| 2000 | |
| 2450 | |
| 2500 | |
| 2800 | |
| 3000 | |
| 3200 | |
| 3500 | |
| 3600 | |
| 3700 | |
| 3800 | |
| 4000 | |
| 4100 | |
| 4200 | |
| 4300 | |
| 4500 | |
| 4800 | |
| 4900 | |
| 5000 | |
| 5100 | |
| 5500 | |
| 6000 | |
| 6200 | |
| 6500 | |
| 7000 | |
| 7300 | |
| 7500 | |
| 8000 | |
| 10000 | |
| 15000 | |
| 17800 | |
| 20000 | |
| 25000 | |
| 30000 | |
| 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.