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

Zip Code 11368 Average

27.7

Averages

Hide Show

35.8 City-Wide
26.3 Queens
27.7 Zip Code 11368

Zip Code 11368

Hide Show

Alcohol & Drug ER Visit Rate Population (2011-2013)
All 27.7 317,020

Sex

Female 15.7 146,927
Male 37.9 170,090

Race/Ethnicity

Asian/Pacific Islander 5.6 36,356
Black 25.1 31,372
Hispanic 18.7 229,266
White 35.5 18,139

Age

0-14 years 0.6 65,551
15-24 years 18.8 49,644
25-34 years 34.2 63,321
35-44 years 46.1 52,080
45-54 years 43.1 37,354
55-64 years 63.3 24,531
65-74 years 5.3 13,362
75+ years 0.3 11,137
Download Table (.CSV)

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.