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

Zip Code 10003 Average

16.8

Averages

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39.2 City-Wide
34.0 Manhattan
16.8 Zip Code 10003

Zip Code 10003

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Asthma (Any) ER Visit Rate Population (2011-2013)
All 16.8 168,740

Sex

Female 18.7 88,413
Male 32.4 80,326

Race/Ethnicity

Asian/Pacific Islander 5.4 23,040
Black 136.4 5,930
Hispanic 74.6 12,616
White 10.1 121,970

Age

0-14 years 43.7 9,180
15-24 years 8.8 37,640
25-34 years 7.4 47,244
35-44 years 13.0 23,386
45-54 years 31.6 17,262
55-64 years 27.6 16,479
65-74 years 24.7 9,757
75+ years 27.0 7,784
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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.