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 4152902 Average

26.3

Averages

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76.0 City-Wide
51.9 Queens
26.3 Tract

Census Tract 4152902

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Injury ER Visit Rate Population (2011-2013)
All 26.3 15,235

Sex

Female 30.6 8,002
Male 34.7 7,232

Race/Ethnicity

Asian/Pacific Islander 8.2 5,704
Black 195.1 656
Hispanic 105.0 857
White 24.7 7,779

Age

0-14 years 45.2 1,794
15-24 years 58.3 1,080
25-34 years 35.2 2,073
35-44 years 28.4 1,761
45-54 years 21.8 2,250
55-64 years 11.1 2,983
65-74 years 11.6 1,468
75+ years 19.3 1,811
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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.