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

Averages

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39.2 City-Wide

City Wide

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Asthma (Any) ER Visit Rate Population (2011-2013)
All 39.2 24,793,148

Sex

Female 50.9 12,992,763
Male 39.8 11,800,384

Race/Ethnicity

Asian/Pacific Islander 8.6 3,205,606
Black 77.8 5,635,770
Hispanic 50.0 7,117,028
White 12.0 8,198,740

Age

0-14 years 68.6 4,432,550
15-24 years 35.3 3,451,377
25-34 years 23.5 4,281,903
35-44 years 28.0 3,482,038
45-54 years 42.0 3,329,632
55-64 years 40.0 2,751,495
65-74 years 38.5 1,656,906
75+ years 24.8 1,407,246
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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.