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 4136700 Average

24.1

Averages

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76.0 City-Wide
51.9 Queens
24.1 Tract

Census Tract 4136700

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Injury ER Visit Rate Population (2011-2013)
All 24.1 18,104

Sex

Female 21.3 9,405
Male 30.0 8,695

Race/Ethnicity

Asian/Pacific Islander 4.7 9,303
Black 888.0 125
Hispanic 79.8 1,141
White 21.3 6,891

Age

0-14 years 22.4 3,354
15-24 years 55.1 1,180
25-34 years 23.6 2,459
35-44 years 25.5 2,625
45-54 years 23.5 2,891
55-64 years 14.4 2,367
65-74 years 23.3 1,504
75+ years 19.9 1,707
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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.