Coronavirus Age, Sex, Demographics (COVID
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Age, Sex, Existing Conditions of COVID-19 Cases and Deaths
Last updated: May 13, 18:00 GMT
Current Statistics
Age of Coronavirus Deaths
We are collecting and analyzing the data from all US States. In the meantime, below we show the data provided by New York City Health as of May 13, 2020:
AGE
Number of DeathsShare of deaths With underlying conditions Without underlying conditions Unknown if with underlying cond. Share of deaths
of unknown + w/o cond.
0 - 17 years old
9
0.06%
6
3
0
0.02%
18 - 44 years old
601
3.9%
476
17
108
0.8%
45 - 64 years old
3,413
22.4%
2,851
72
490
3.7%
65 - 74 years old
3,788
24.9%
2,801
5
982
6.5%
75+ years old
7,419
48.7%
5,236
2
2,181
14.3%
TOTAL
15,230
100%
11,370 (75%)
99 (0.7%)
1,551 (24.7%)
25.3%
April 14 Data
For comparison, below is the data provided by New York City Health as of April 14. It can be noted that the absolute number of deaths of patients without underlying conditions was actually higher in this earlier report compared to the May 13 one, signaling the data has been since corrected and revised downward.
AGE
Number of DeathsShare of deaths With underlying conditions Without underlying conditions Unknown if with underlying cond. Share of deaths
of unknown + w/o cond.
0 - 17 years old
3
0.04%
3
0
0
0%
18 - 44 years old
309
4.5%
244
25
40
1.0%
45 - 64 years old
1,581
23.1%
1,343
59
179
3.5%
65 - 74 years old
1,683
24.6%
1,272
26
385
6.0%
75+ years old
3,263
47.7%
2,289
27
947
14.2%
TOTAL
6,839
100%
5,151
137 (2.0%)
1,551
24.68%
[1] Underlying illnesses include Diabetes, Lung Disease, Cancer, Immunodeficiency, Heart Disease, Hypertension, Asthma, Kidney Disease, and GI/Liver Disease. [source]
Sex ratio
Data provided by New York City Health as of April 14, for known sex of deceased:
SEX
Deaths Share of Deaths With underlying conditionsShare within this category Without underlying conditions Share within this category Unknown if with cond. Share within this category
Male
4,095
61,8%
3,087
62,2%
96
72.2%
912
59.5%
Female
2,530
38.2%
1.873
37.8%
37
27.8%
620
40.5%
Older Statistics
Data from initial studies in China
At the end of February, there were two sources that provided age, sex, and comorbidity statistics:
The Report of the WHO-China Joint Mission published on Feb. 28 by WHO, [2] which is based on 55,924 laboratory confirmed cases. The report notes that "The Joint Mission acknowledges the known challenges and biases of reporting crude CFR early in an epidemic" (see also our discussion on: How to calculate the mortality rate during an outbreak) A paper by the Chinese CCDC released on Feb. 17, which is based on 72,314 confirmed, suspected, and asymptomatic cases of COVID-19 in China as of Feb. 11, and was published in the Chinese Journal of Epidemiology [1]
We will list data from both, labeling them as "confirmed cases" and "all cases" respectively in the tables.
Age of Coronavirus Deaths
COVID-19 Fatality Rate by AGE:*Death Rate = (number of deaths / number of cases) = probability of dying if infected by the virus (%). This probability differs depending on the age group. The percentages shown below do not have to add up to 100%, as they do NOT represent share of deaths by age group. Rather, it represents, for a person in a given age group, the risk of dying if infected with COVID-19.
AGE
DEATH RATEconfirmed cases
DEATH RATE
all cases
80+ years old
21.9%
14.8%
70-79 years old
8.0%
60-69 years old
3.6%
50-59 years old
1.3%
40-49 years old
0.4%
30-39 years old
0.2%
20-29 years old
0.2%
10-19 years old
0.2%
0-9 years oldno fatalities
*Death Rate = (number of deaths / number of cases) = probability of dying if infected by the virus (%). The percentages do not have to add up to 100%, as they do NOT represent share of deaths by age group.
In general, relatively few cases are seen among children.
Sex ratio
COVID-19 Fatality Rate by SEX:*Death Rate = (number of deaths / number of cases) = probability of dying if infected by the virus (%). This probability differs depending on sex. When reading these numbers, it must be taken into account that smoking in China is much more prevalent among males. Smoking increases the risks of respiratory complications.
SEX
DEATH RATEconfirmed cases
DEATH RATE
all cases
Male
4.7%
2.8%
Female
2.8%
1.7%
*Death Rate = (number of deaths / number of cases) = probability of dying if infected by the virus (%). The percentages do not have to add up to 100%, as they do NOT represent share of deaths by sex.
Pre-existing medical conditions (comorbidities)
Patients who reported no pre-existing ("comorbid") medical conditions had a case fatality rate of 0.9%. Pre-existing illnesses that put patients at higher risk of dying from a COVID-19 infection are:
COVID-19 Fatality Rate by COMORBIDITY:*Death Rate = (number of deaths / number of cases) = probability of dying if infected by the virus (%). This probability differs depending on pre-existing condition. The percentage shown below does NOT represent in any way the share of deaths by pre-existing condition. Rather, it represents, for a patient with a given pre-existing condition, the risk of dying if infected by COVID-19.
PRE-EXISTING CONDITION
DEATH RATEconfirmed cases
DEATH RATE
all cases
Cardiovascular disease
13.2%
10.5%
Diabetes
9.2%
7.3%
Chronic respiratory disease
8.0%
6.3%
Hypertension
8.4%
6.0%
Cancer
7.6%
5.6%
no pre-existing conditions
0.9%
*Death Rate = (number of deaths / number of cases) = probability of dying if infected by the virus (%). The percentages do not have to add up to 100%, as they do NOT represent share of deaths by condition.
Coronavirus Worldometer Sections:
Coronavirus Update Case statistics and graphs Death statistics and graphs Mortality Rate Incubation Period Age, Sex, Existing Condition Symptoms Countries with cases: basic list - detailed listSources
The Epidemiological Characteristics of an Outbreak of 2019 Novel Coronavirus Diseases (COVID-19) - China CCDC, February 17 2020 Report of the WHO-China Joint Mission on Coronavirus Disease 2019 (COVID-19) [Pdf] - World Health Organization, Feb. 28, 2020网址:Coronavirus Age, Sex, Demographics (COVID https://klqsh.com/news/view/202906
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