New York City Health Atlas

Alcohol and Drug Use ER Visits

Compare This Metric

Description

Number of emergency room visits for alcohol or substance use.


Calculation

Number of ER visits for alcohol or substance use per 1,000 population.


Source

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


Years of Data

2011-2013


Additional Resources

City Wide Average

35.8

4006 (District 308) Average

84.9

Averages

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35.8 City-Wide
48.7 Brooklyn
84.9 4006 (District 308)

4006 (District 308)

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Alcohol & Drug ER Visit Rate Population (2011-2013)
All 84.9 371,326

Sex

Female 31.9 202,935
Male 104.6 168,392

Race/Ethnicity

Asian/Pacific Islander 19.2 12,214
Black 54.8 231,996
Hispanic 57.7 47,026
White 45.2 71,032

Age

0-14 years 0.5 64,665
15-24 years 29.6 50,172
25-34 years 45.0 80,010
35-44 years 110.4 53,366
45-54 years 268.1 46,384
55-64 years 178.5 38,691
65-74 years 47.2 21,926
75+ years 8.7 16,113
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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.