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    Home / Central Data Catalog / DATAFIRST / ZAF_2002-2005_KIFS_V01_M / variable [F3]
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Khayelitsha Integrated Family Survey 2002-2005

South Africa, 2002 - 2005
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Reference ID
ZAF_2002-2005_KIFS_v01_M
Producer(s)
Professor Anne Case
Collection(s)
DataFirst , University of Cape Town, South Africa
Metadata
Documentation in PDF DDI/XML JSON
Created on
Jan 27, 2012
Last modified
May 01, 2014
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138898
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  • Data files
  • khay02030405_hh_p_pinc_spl_200906
  • khay05_ad_spl_200906
  • khay02030405_ad_200906
  • khay02030405_ch_200906
  • khay02030405_ch_spl_200906
  • khay02030405_hh_comrd_200906
  • khay02030405_hh_died_200906
  • khay02030405_hh_h_200906
  • khay02030405_hh_h_spl_200906
  • khay02030405_hh_moved_200906
  • khay02030405_hh_moved_spl_200906
  • khay02030405_hh_mrd_200906
  • khay02030405_hh_p_pinc_200906

Cause of death? (A_Fdead_cause)

Data file: khay02030405_ad_200906

Overview

Valid: 1028
Type: Discrete
Start: 5084
End: 5144
Width: 61
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
. 317
30.8%
999 121
11.8%
999, swolen legs 1
0.1%
Accident 4
0.4%
Accident at work 1
0.1%
Accident, fell from witchcraft plane. 1
0.1%
Ageing 1
0.1%
Appendicitus 1
0.1%
Asbestosis 1
0.1%
Assaulted 1
0.1%
Asthma 32
3.1%
Asthma related 1
0.1%
Asthma?? 1
0.1%
Astma 3
0.3%
Attacked by the brother in-law in 1979 1
0.1%
Backache 1
0.1%
Bladder Infection 1
0.1%
Brain damage 1
0.1%
Brain tumor 1
0.1%
Bronchitis 2
0.2%
Cancer 20
1.9%
Cancer of oesophagus 1
0.1%
Cancer of the liver 1
0.1%
Cancer of the oesophagus 1
0.1%
Car Accident 3
0.3%
Car accident 18
1.8%
Car accident. 1
0.1%
Cardiac failure 1
0.1%
Collapsed 1
0.1%
Collapsed(unknown specifics) 1
0.1%
Coughing, fever 1
0.1%
Diabetes 7
0.7%
Double pneumonia 4
0.4%
Drowned 1
0.1%
Drowned in river 1
0.1%
Dysphoea 1
0.1%
Epilepsy 3
0.3%
Epilepsy related 1
0.1%
Fatal fall 2
0.2%
Fell of a horse (999) 1
0.1%
Fever 1
0.1%
Fits (cancer) 1
0.1%
Got sick 2
0.2%
Had a poor heart 1
0.1%
Had fits 1
0.1%
He drank poison 1
0.1%
He fell of the horse 1
0.1%
He is the victim of someone using umuti 1
0.1%
He vomited blood. Believes it was because of witchcraft. 1
0.1%
He was to old 1
0.1%
Headache 4
0.4%
Heart attack 9
0.9%
Heart failure 2
0.2%
Heart failure. 1
0.1%
Heart problem 1
0.1%
Heart problems 2
0.2%
Heart related 1
0.1%
Heath Problems 1
0.1%
High blood pressure 7
0.7%
Hit by the car 1
0.1%
Hypertension 1
0.1%
Ill 1
0.1%
Illness 2
0.2%
Iphika 2
0.2%
It is because of TB 1
0.1%
Kidney Failure 1
0.1%
Kidney failure 1
0.1%
Kidney problem 1
0.1%
Legs (pain) 1
0.1%
Limb related ailment 1
0.1%
Liver cancer 1
0.1%
Long illness 1
0.1%
Lower back pain 1
0.1%
Lung complications 1
0.1%
Maybe TB 1
0.1%
Mentally disturbed. 1
0.1%
Mentally ill 1
0.1%
Murder 1
0.1%
Murdered 7
0.7%
Murdered by the boers 1
0.1%
My father was sick but I can't remember I was seven years old 1
0.1%
Natural 5
0.5%
Natural Causes 2
0.2%
Natural cause 8
0.8%
Natural causes 18
1.8%
Natural death 4
0.4%
Natural death - ill no diagnosis 1
0.1%
Natural. 2
0.2%
Naturel causes 1
0.1%
Oesophagus cancer 1
0.1%
Old Age 1
0.1%
Old age 17
1.7%
Old age illness 1
0.1%
Old age, sickly 1
0.1%
Old age. 1
0.1%
Pneumonia 4
0.4%
Poison 4
0.4%
Poison/stomach 1
0.1%
Poisoned 5
0.5%
Problem with bones 1
0.1%
Pushed by his friend,fell & died 1
0.1%
Renal failure 1
0.1%
Rheumatism 1
0.1%
Short breath. 1
0.1%
Shortness of breath 1
0.1%
Shot 1
0.1%
Shot himself 1
0.1%
Sick 4
0.4%
Sickness 2
0.2%
Sickness(unknown) 1
0.1%
Slow poison 1
0.1%
Snake bite 1
0.1%
Stabbed 2
0.2%
Stomach ache 2
0.2%
Stomach affliction 1
0.1%
Stomach illness 1
0.1%
Stomach problems 4
0.4%
Stomach related 1
0.1%
Stomach related illness 2
0.2%
Stone fell on him 1
0.1%
Stroke 18
1.8%
Sudden death, unknown 1
0.1%
Suicide 3
0.3%
Swelling body, Asthma 1
0.1%
Swolen body 1
0.1%
Swollen leg 1
0.1%
T.B 3
0.3%
TB 15
1.5%
TB, Black poison (isidliso) 1
0.1%
TB, ear problem 1
0.1%
Throat 1
0.1%
Throat cancer 1
0.1%
Tisis 1
0.1%
To old 1
0.1%
Tuberculosis 5
0.5%
Ulcers 1
0.1%
Unspecified head ailment 1
0.1%
Unspecified illness 4
0.4%
Unspecified lung ailment 1
0.1%
Unspecified stomach illness 1
0.1%
Vomiting 1
0.1%
Waist 1
0.1%
Was poisoned 1
0.1%
Was too old 1
0.1%
accident 6
0.6%
accident at work 1
0.1%
alcoholism 1
0.1%
arthritis and he had a knee-problem 1
0.1%
asthma 14
1.4%
asthma and TB 1
0.1%
asthma attack 2
0.2%
attacked 1
0.1%
beaten by friends 1
0.1%
believes he was poisoned 2
0.2%
bile 1
0.1%
cancer 29
2.8%
cancer of the Oesophagus 1
0.1%
cancer of the oesophagus 1
0.1%
car accident 11
1.1%
cardiac arrest 2
0.2%
cardiac failure 1
0.1%
chest problems 1
0.1%
coughing and old age 1
0.1%
could not urinate 1
0.1%
crate fell on him at the dock yard 1
0.1%
crime 1
0.1%
diabetes 2
0.2%
diabetic 1
0.1%
died while sleeping 1
0.1%
epilepsy 1
0.1%
fever 1
0.1%
getting old 1
0.1%
got ill 1
0.1%
gun shot 3
0.3%
had TB but died from cold cause he slept outside all night 1
0.1%
he had flu 1
0.1%
he was ill 1
0.1%
he was ill and died 1
0.1%
he was shot 2
0.2%
he was sick (voice) 1
0.1%
headache 2
0.2%
headache/poison 1
0.1%
heart attack 6
0.6%
heart problem 3
0.3%
hicups 1
0.1%
high blood 1
0.1%
high blood pressure 5
0.5%
hit by a car 1
0.1%
hit by a stone on the head 1
0.1%
ill health. 1
0.1%
ill health; diagnosis unknown 1
0.1%
ill-health 1
0.1%
kidney failure 1
0.1%
leg problem 1
0.1%
leg trouble; amputated 1
0.1%
liver failure 1
0.1%
lung infection 1
0.1%
mine related infection 1
0.1%
murder attack 1
0.1%
murdered 10
1%
narural causes 1
0.1%
natural 1
0.1%
natural caue 1
0.1%
natural cause 8
0.8%
natural causes 18
1.8%
natural death 3
0.3%
naturral cause 1
0.1%
old age 11
1.1%
old-age 1
0.1%
palpitations 1
0.1%
poison 2
0.2%
problem with his legs 1
0.1%
respondent's father was murdered 1
0.1%
shot 1
0.1%
sick 2
0.2%
stabbed 2
0.2%
stomach problems 1
0.1%
stomache ache 1
0.1%
stomache ailment 1
0.1%
stomache bug 1
0.1%
stroke 9
0.9%
sudden death 1
0.1%
sugar diabetes 2
0.2%
throat cancer 2
0.2%
ulcers 1
0.1%
unspecified lung ailment 2
0.2%
vomiting blood 1
0.1%
was murdered 3
0.3%
was shot 1
0.1%
yellow eyes 1
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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