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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
156235
Downloads
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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

1st type of illness or injury that led [NAME] to hospitalization (hh_d_19_1)

Data file: HH_D

Overview

Valid: 944
Invalid: 17145
Type: Discrete
Decimal: 0
Start: 96
End: 97
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?- 1
Categories
Value Category Cases
1 Fever, malaria 302
32%
2 Diarrhea 42
4.4%
3 Typhoid 55
5.8%
4 Stomach ache 122
12.9%
5 Vomiting 12
1.3%
6 Sore throat 3
0.3%
7 Upper respiratory (sinuses) 6
0.6%
8 Lower respiratory (chest, lungs) 11
1.2%
9 Flu 7
0.7%
10 Cough/ breathing difficulties 25
2.6%
11 Headache 8
0.8%
12 Fainting 9
1%
13 Skin problem 8
0.8%
14 Dental problem 2
0.2%
15 Eye problem 4
0.4%
16 Ear/nose/throat 0
0%
17 Pain in back / limbs / joints 22
2.3%
18 heart problem 9
1%
19 Blood pressure 42
4.4%
20 Urinary tract infection 14
1.5%
21 Diabetes 3
0.3%
22 Mental disorder 0
0%
23 TB 3
0.3%
24 Sexually transmitted disease 2
0.2%
25 Burn 1
0.1%
26 Fracture 5
0.5%
27 Wound 16
1.7%
28 Poisoning 1
0.1%
29 Pregnancy 96
10.2%
30 Cancer 1
0.1%
31 Piles 8
0.8%
32 Unspecified long-term illness 7
0.7%
33 Preventative care 0
0%
34 Accident 30
3.2%
35 Other (specify) 68
7.2%
Sysmiss 17145
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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