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 4065900 Average

18.7

Averages

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76.0 City-Wide
51.9 Queens
18.7 Tract

Census Tract 4065900

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Injury ER Visit Rate Population (2011-2013)
All 18.7 5,142

Sex

Female 14.9 2,687
Male 24.5 2,452

Race/Ethnicity

Asian/Pacific Islander 0.0 25
Black 79.4 252
Hispanic 63.5 488
White 6.3 4,421

Age

0-14 years 27.1 663
15-24 years 17.3 520
25-34 years 45.4 507
35-44 years 11.7 938
45-54 years 20.2 842
55-64 years 12.6 872
65-74 years 15.0 333
75+ years 4.4 456
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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.