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 5017008 Average

93.4

Averages

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76.0 City-Wide
108.7 Staten Island
93.4 Tract

Census Tract 5017008

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Injury ER Visit Rate Population (2011-2013)
All 93.4 21,452

Sex

Female 101.5 11,002
Male 127.4 10,450

Race/Ethnicity

Asian/Pacific Islander 77.8 913
Black 0.0 15
Hispanic 131.7 2,429
White 66.4 17,989

Age

0-14 years 119.3 2,859
15-24 years 120.8 2,824
25-34 years 132.2 2,663
35-44 years 83.8 3,317
45-54 years 87.7 2,999
55-64 years 52.0 3,732
65-74 years 47.4 1,983
75+ years 132.8 1,054
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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.