Home / Food and Agriculture Microdata Catalogue / AGRICULTURAL-SURVEYS / LBR_2016-2017_HIES-W3_V01_EN_M_V01_A_OCS / variable [F41]
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
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41494
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Clan (hh_a_03)

Data file: HH_N1

Overview

Valid: 91850
Invalid: 0
Minimum: 1
Maximum: 956
Type: Discrete
Decimal: 0
Start: 29
End: 31
Width: 3
Range: 1 - 956
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 22957
25%
2 17270
18.8%
3 13563
14.8%
4 10670
11.6%
5 3410
3.7%
6 3080
3.4%
7 3190
3.5%
8 2640
2.9%
9 1430
1.6%
10 770
0.8%
11 550
0.6%
12 440
0.5%
13 440
0.5%
14 110
0.1%
15 220
0.2%
18 220
0.2%
102 110
0.1%
104 110
0.1%
106 110
0.1%
107 110
0.1%
109 110
0.1%
111 110
0.1%
112 110
0.1%
114 110
0.1%
201 110
0.1%
203 110
0.1%
204 110
0.1%
206 110
0.1%
208 110
0.1%
210 110
0.1%
302 110
0.1%
305 110
0.1%
306 110
0.1%
308 110
0.1%
310 110
0.1%
311 110
0.1%
312 110
0.1%
402 110
0.1%
404 110
0.1%
406 110
0.1%
452 110
0.1%
455 110
0.1%
457 110
0.1%
501 110
0.1%
502 110
0.1%
504 110
0.1%
506 110
0.1%
508 110
0.1%
551 110
0.1%
553 110
0.1%
555 110
0.1%
556 110
0.1%
557 220
0.2%
558 110
0.1%
559 110
0.1%
560 110
0.1%
561 110
0.1%
562 220
0.2%
564 110
0.1%
565 110
0.1%
566 110
0.1%
567 110
0.1%
568 220
0.2%
569 110
0.1%
571 220
0.2%
572 110
0.1%
573 110
0.1%
574 110
0.1%
575 220
0.2%
578 110
0.1%
580 110
0.1%
601 110
0.1%
603 110
0.1%
605 110
0.1%
607 110
0.1%
610 110
0.1%
651 110
0.1%
652 110
0.1%
654 110
0.1%
656 110
0.1%
658 110
0.1%
660 110
0.1%
662 220
0.2%
701 110
0.1%
703 110
0.1%
704 110
0.1%
706 110
0.1%
708 110
0.1%
751 110
0.1%
754 110
0.1%
756 110
0.1%
758 110
0.1%
760 110
0.1%
764 110
0.1%
802 110
0.1%
803 110
0.1%
804 110
0.1%
806 110
0.1%
851 110
0.1%
854 110
0.1%
857 110
0.1%
901 110
0.1%
902 110
0.1%
904 110
0.1%
906 110
0.1%
907 110
0.1%
909 110
0.1%
952 110
0.1%
956 110
0.1%
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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