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    Home / Food and Agriculture Microdata Catalogue / AGRICULTURAL-SURVEYS / LBR_2016-2017_HIES-W3_V01_EN_M_V01_A_OCS / variable [F15]
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
58942
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

Tree/permanent crop name (ag_08_01)

Data file: AG_08

Overview

Valid: 3683
Invalid: 0
Type: Discrete
Start: 34
End: 53
Width: 20
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
Avocado 18
0.5%
BANANA 2
0.1%
Banana 498
13.5%
Beans 2
0.1%
Bread Nut 5
0.1%
Bread fruit 4
0.1%
COCOA 1
0%
Cashew nut 5
0.1%
Cocoa 323
8.8%
Coconut 96
2.6%
Coffee 125
3.4%
Cotton 2
0.1%
Eddoes 291
7.9%
Fever Leaf 6
0.2%
Ginger 2
0.1%
Golden Plum 7
0.2%
Grapefruit 8
0.2%
Guava 5
0.1%
Kola Nut 53
1.4%
Lemon 3
0.1%
Lettuce 1
0%
Lime 6
0.2%
Mango 33
0.9%
Monkey Apple 2
0.1%
OTHER, SPECIFY 5
0.1%
Orange 48
1.3%
PALM NUTS 1
0%
PLANTAIN 4
0.1%
Palm Oil 106
2.9%
Palm nuts 76
2.1%
Papaw 64
1.7%
Pineapple 281
7.6%
Plantain 924
25.1%
Pumpkins 3
0.1%
RUBBER 3
0.1%
Rice/Paddy 1
0%
Rubber 370
10%
Sour Plum 2
0.1%
Sour Sour 3
0.1%
Sugar Cane 206
5.6%
Sweet Potatoes 7
0.2%
Yams 81
2.2%
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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