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    Home / Central Data Catalog / LBR_2016_HIES_V01_M / variable [F31]
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Household Income and Expenditure Survey 2016

Liberia, 2016 - 2017
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Reference ID
LBR_2016_HIES_v01_M
Producer(s)
Liberia Institute for Statistics and Geo-Information Services
Metadata
Documentation in PDF DDI/XML JSON
Created on
Apr 09, 2018
Last modified
Apr 09, 2018
Page views
134584
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  • Study Description
  • Data Description
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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_R1
  • HH_S
  • HH_R

What was the cause of this situation? 2ND (hh_i_10_2)

Data file: HH_I1

Overview

Valid: 3
Invalid: 8346
Type: Discrete
Decimal: 0
Start: 62
End: 63
Width: 2
Range: 1 - 12
Format: Numeric

Questions and instructions

Literal question
What was the cause of this situation - 2nd?
Categories
Value Category Cases
1 Inadequate household stocks due to early or heavy rain/floods 0
0%
2 Inadequate household stocks due to late rain/drought 0
0%
3 Inadequate food stocks during planting season (hunger time) 1
33.3%
4 Inadequate household food stocks due to plant disease/insects 0
0%
5 Inadequate household food stocks due to bird/grass cutter (groundhog) attacks 0
0%
6 Inadequate household food stocks due to landslide/erosion 0
0%
7 Inadequate household food stocks due to small land size 0
0%
8 Inadequate household food stocks due to lack of farm inputs 0
0%
9 Food in the market was very expensive 1
33.3%
10 Inaccessible markets due to high transportation costs/ bad roads 0
0%
11 No food in the market 0
0%
12 Other, specify 1
33.3%
Sysmiss 8346
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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