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    Home / Central Data Catalog / LBR_2014_HIES_V01_M / variable [F26]
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Household Income and Expenditure Survey 2014-2015

Liberia, 2014 - 2015
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Reference ID
LBR_2014_HIES_v01_M
Producer(s)
Liberia Institute for Statistics and Geo-Information Services
Metadata
Documentation in PDF DDI/XML JSON
Created on
Apr 25, 2016
Last modified
Apr 09, 2018
Page views
156315
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  • Study Description
  • Data Description
  • Documentation
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  • Data files
  • HH_A
  • 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_K3
  • HH_L1
  • HH_L2
  • HH_M
  • HH_N1
  • HH_N2
  • HH_N3
  • HH_O
  • HH_P1
  • HH_P2
  • HH_Q
  • HH_R
  • HH_S
  • HH_CONSUMPTION

2nd type of illness or injury that led [NAME] to hospitalization (hh_d_19_2)

Data file: HH_D

Overview

Valid: 313
Invalid: 17776
Type: Discrete
Decimal: 0
Start: 98
End: 99
Width: 2
Range: 1 - 35
Format: Numeric

Questions and instructions

Literal question
What type of illness or injury did [NAME] have that led to [NAME]'s treatment at the hospitalization / overnight stay in a medical facility? - 2
Categories
Value Category Cases
1 Fever, malaria 45
14.4%
2 Diarrhea 19
6.1%
3 Typhoid 27
8.6%
4 Stomach ache 24
7.7%
5 Vomiting 16
5.1%
6 Sore throat 2
0.6%
7 Upper respiratory (sinuses) 2
0.6%
8 Lower respiratory (chest, lungs) 8
2.6%
9 Flu 1
0.3%
10 Cough/ breathing difficulties 18
5.8%
11 Headache 10
3.2%
12 Fainting 5
1.6%
13 Skin problem 2
0.6%
14 Dental problem 1
0.3%
15 Eye problem 2
0.6%
16 Ear/nose/throat 0
0%
17 Pain in back / limbs / joints 29
9.3%
18 heart problem 3
1%
19 Blood pressure 29
9.3%
20 Urinary tract infection 11
3.5%
21 Diabetes 1
0.3%
22 Mental disorder 2
0.6%
23 TB 0
0%
24 Sexually transmitted disease 0
0%
25 Burn 1
0.3%
26 Fracture 0
0%
27 Wound 6
1.9%
28 Poisoning 0
0%
29 Pregnancy 14
4.5%
30 Cancer 0
0%
31 Piles 3
1%
32 Unspecified long-term illness 5
1.6%
33 Preventative care 0
0%
34 Accident 0
0%
35 Other (specify) 27
8.6%
Sysmiss 17776
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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