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 4094700 Average

65.9

Averages

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76.0 City-Wide
51.9 Queens
65.9 Tract

Census Tract 4094700

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Injury ER Visit Rate Population (2011-2013)
All 65.9 6,619

Sex

Female 57.4 3,504
Male 92.0 3,110

Race/Ethnicity

Asian/Pacific Islander 40.2 1,320
Black 0.0 2
Hispanic 54.5 2,641
White 51.5 2,622

Age

0-14 years 75.0 1,293
15-24 years 85.9 792
25-34 years 75.4 915
35-44 years 41.8 1,389
45-54 years 98.5 599
55-64 years 65.0 600
65-74 years 54.1 351
75+ years 40.0 675
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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.