New York City Health Atlas

Injury ER Visits

Compare This Metric

Description

Number of emergency room visits for injuries, poisonings, or accidents.


Calculation

Number of ER visits for injuries 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

76.0

Census Tract 4115700 Average

28.5

Averages

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76.0 City-Wide
51.9 Queens
28.5 Tract

Census Tract 4115700

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Injury ER Visit Rate Population (2011-2013)
All 28.5 10,416

Sex

Female 24.1 5,717
Male 39.9 4,690

Race/Ethnicity

Asian/Pacific Islander 5.6 7,290
Black 0.0 47
Hispanic 160.4 505
White 33.3 2,340

Age

0-14 years 42.4 1,345
15-24 years 32.4 1,143
25-34 years 21.4 2,058
35-44 years 26.9 1,266
45-54 years 32.8 1,618
55-64 years 30.6 1,047
65-74 years 22.9 1,049
75+ years 18.1 884
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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.