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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
71672
Downloads
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  • 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 did the household pay for the [ITEM]s purchased in the past twelve months? (hh_m_03_1)

Data file: HH_M

Overview

Valid: 20434
Invalid: 238416
Minimum: 0
Maximum: 85000
Mean: 501.297
Standard deviation: 1496.304
Type: Discrete
Decimal: 0
Start: 67
End: 71
Width: 5
Range: 0 - 85000
Format: Numeric

Questions and instructions

Literal question
What did the household pay for the [ITEM]s purchased in the past twelve months - LD?
Categories
Value Category Cases
0 6635
32.5%
1 9
0%
2 4
0%
3 2
0%
5 1
0%
6 1
0%
10 10
0%
12 2
0%
15 14
0.1%
16 1
0%
20 33
0.2%
25 35
0.2%
30 72
0.4%
35 23
0.1%
40 92
0.5%
45 18
0.1%
50 344
1.7%
55 2
0%
60 187
0.9%
65 11
0.1%
70 46
0.2%
75 176
0.9%
80 157
0.8%
85 3
0%
90 53
0.3%
95 2
0%
100 690
3.4%
105 16
0.1%
110 23
0.1%
115 2
0%
120 215
1.1%
125 99
0.5%
130 9
0%
135 1
0%
140 26
0.1%
145 1
0%
150 733
3.6%
155 5
0%
160 75
0.4%
165 5
0%
170 12
0.1%
175 138
0.7%
180 94
0.5%
185 2
0%
190 20
0.1%
195 2
0%
200 710
3.5%
205 5
0%
210 37
0.2%
215 4
0%
220 24
0.1%
225 81
0.4%
230 10
0%
240 75
0.4%
245 1
0%
250 754
3.7%
255 1
0%
260 20
0.1%
265 4
0%
270 11
0.1%
275 87
0.4%
280 31
0.2%
285 1
0%
290 14
0.1%
300 806
3.9%
305 1
0%
310 12
0.1%
315 4
0%
320 28
0.1%
325 20
0.1%
330 1
0%
335 4
0%
340 10
0%
345 1
0%
350 571
2.8%
355 1
0%
360 38
0.2%
365 1
0%
370 9
0%
375 89
0.4%
380 24
0.1%
385 3
0%
390 13
0.1%
393 1
0%
400 558
2.7%
405 3
0%
410 5
0%
415 1
0%
420 31
0.2%
425 27
0.1%
430 4
0%
435 1
0%
440 8
0%
450 384
1.9%
455 1
0%
460 8
0%
465 1
0%
470 9
0%
475 33
0.2%
480 30
0.1%
485 2
0%
490 9
0%
495 1
0%
500 764
3.7%
505 1
0%
510 1
0%
515 3
0%
520 5
0%
525 17
0.1%
530 1
0%
540 10
0%
545 1
0%
550 96
0.5%
555 2
0%
560 14
0.1%
565 3
0%
570 4
0%
575 5
0%
580 4
0%
585 3
0%
590 2
0%
600 504
2.5%
610 1
0%
615 4
0%
620 8
0%
625 8
0%
630 8
0%
640 5
0%
650 127
0.6%
660 2
0%
665 1
0%
670 4
0%
675 18
0.1%
680 5
0%
700 274
1.3%
710 2
0%
715 1
0%
720 9
0%
725 2
0%
730 1
0%
735 1
0%
740 2
0%
745 2
0%
750 246
1.2%
755 1
0%
760 2
0%
775 4
0%
780 9
0%
785 1
0%
800 282
1.4%
815 1
0%
820 1
0%
825 5
0%
827 1
0%
840 1
0%
850 89
0.4%
860 7
0%
870 3
0%
875 9
0%
890 2
0%
895 1
0%
900 176
0.9%
905 1
0%
920 2
0%
925 2
0%
930 2
0%
940 2
0%
950 49
0.2%
960 3
0%
975 3
0%
980 2
0%
990 1
0%
1000 381
1.9%
1025 1
0%
1035 1
0%
1040 1
0%
1050 32
0.2%
1060 1
0%
1065 1
0%
1075 1
0%
1080 2
0%
1100 52
0.3%
1120 2
0%
1125 5
0%
1140 1
0%
1150 12
0.1%
1155 1
0%
1175 1
0%
1180 1
0%
1190 1
0%
1200 271
1.3%
1225 1
0%
1230 1
0%
1240 2
0%
1250 48
0.2%
1280 2
0%
1290 1
0%
1300 85
0.4%
1320 1
0%
1325 1
0%
1340 1
0%
1345 1
0%
1350 36
0.2%
1360 4
0%
1375 3
0%
1380 1
0%
1400 114
0.6%
1435 2
0%
1450 15
0.1%
1460 1
0%
1470 2
0%
1475 1
0%
1480 1
0%
1500 440
2.2%
1525 1
0%
1550 5
0%
1600 108
0.5%
1605 1
0%
1625 2
0%
1630 1
0%
1640 1
0%
1650 13
0.1%
1670 1
0%
1675 2
0%
1700 58
0.3%
1720 1
0%
1730 1
0%
1750 23
0.1%
1760 1
0%
1775 2
0%
1800 140
0.7%
1810 1
0%
1850 14
0.1%
1860 2
0%
1870 1
0%
1875 2
0%
1900 18
0.1%
1950 6
0%
1960 3
0%
1980 1
0%
2000 139
0.7%
2040 1
0%
2080 1
0%
2100 21
0.1%
2175 1
0%
2200 21
0.1%
2250 13
0.1%
2300 15
0.1%
2350 3
0%
2400 31
0.2%
2420 1
0%
2450 6
0%
2500 145
0.7%
2550 2
0%
2600 17
0.1%
2620 1
0%
2650 3
0%
2670 1
0%
2700 16
0.1%
2750 3
0%
2800 27
0.1%
2850 2
0%
2870 1
0%
2900 5
0%
2950 2
0%
2975 1
0%
3000 84
0.4%
3075 1
0%
3080 1
0%
3100 3
0%
3125 1
0%
3150 2
0%
3200 9
0%
3250 1
0%
3300 9
0%
3350 1
0%
3400 5
0%
3500 51
0.2%
3510 1
0%
3600 6
0%
3650 1
0%
3700 2
0%
3750 3
0%
3800 7
0%
3890 1
0%
3900 2
0%
4000 41
0.2%
4050 1
0%
4100 2
0%
4200 1
0%
4280 1
0%
4300 3
0%
4350 1
0%
4400 4
0%
4470 1
0%
4500 37
0.2%
4600 2
0%
4800 6
0%
4840 1
0%
4900 4
0%
5000 32
0.2%
5300 2
0%
5400 4
0%
5500 5
0%
5700 2
0%
5850 1
0%
6000 21
0.1%
6300 1
0%
6500 5
0%
7000 4
0%
7100 1
0%
7200 1
0%
7500 7
0%
7650 1
0%
7800 1
0%
7900 1
0%
8000 11
0.1%
8500 2
0%
9000 6
0%
9300 1
0%
9800 1
0%
10000 9
0%
10500 1
0%
11000 3
0%
11500 1
0%
12000 6
0%
12300 1
0%
13000 1
0%
13500 1
0%
14000 1
0%
14900 1
0%
15000 3
0%
16000 3
0%
20000 1
0%
22000 2
0%
22500 1
0%
24000 1
0%
25000 3
0%
25800 1
0%
27000 2
0%
28000 2
0%
31200 1
0%
32000 1
0%
40000 2
0%
45000 1
0%
83000 1
0%
85000 1
0%
Sysmiss 238416
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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