New York City Health Atlas

Asthma ER Visits (any)

Compare This Metric

Description

Number of emergency room visits for which asthma is documented.


Calculation

Number of ER visits were asthma is documented per 1,000 emergency room visits.


Source

Statewide Planning and Research Cooperative System (SPARCS) Outpatient Data, 2011-2013.


Years of Data

2011-2013


Additional Resources

City Wide Average

39.2

4106 (District 408) Average

22.9

Averages

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39.2 City-Wide
23.4 Queens
22.9 4106 (District 408)

4106 (District 408)

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Asthma (Any) ER Visit Rate Population (2011-2013)
All 22.9 449,022

Sex

Female 28.9 235,826
Male 24.2 213,196

Race/Ethnicity

Asian/Pacific Islander 6.3 141,170
Black 84.8 54,818
Hispanic 30.3 82,940
White 8.9 150,836

Age

0-14 years 47.7 79,912
15-24 years 21.6 61,578
25-34 years 15.9 64,150
35-44 years 15.8 56,992
45-54 years 19.2 64,534
55-64 years 17.4 57,266
65-74 years 17.9 34,594
75+ years 11.8 29,994
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Correlation Is Not Causation

In statistics, correlation is a measure of association between two numeric variables. The strength of correlation between two variables is represented by the correlation coefficient, represented by the abbreviation r. Correlation coefficients range between -1 to 1.

Though the correlation coefficient indicates the strength of an association, it does not provide information about whether the change in one variable is caused by the other.

For example, if the correlation between adult smoking prevalence and child poverty is 0.7—a strong correlation—we cannot say either that adult smoking causes child poverty or, inversely, that child poverty causes smoking. We only know that as one of these variables increases, the other tends to increases.