New York City Health Atlas

Alcohol and Drug Use ER Visits

Compare This Metric


Number of emergency room visits for alcohol or substance use.


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


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

Years of Data


Additional Resources

City Wide Average


Census Tract 4053601 Average



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35.8 City-Wide
26.3 Queens
21.9 Tract

Census Tract 4053601

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Alcohol & Drug ER Visit Rate Population (2011-2013)
All 21.9 5,652


Female 5.6 3,390
Male 42.9 2,261


Asian/Pacific Islander 5.2 381
Black 11.2 3,935
Hispanic 11.1 813
White 91.7 240


0-14 years 0.0 820
15-24 years 6.2 1,609
25-34 years 64.2 374
35-44 years 36.6 738
45-54 years 41.6 1,105
55-64 years 29.2 480
65-74 years 10.6 282
75+ years 0.0 237
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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.