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 4143500 Average

22.9

Averages

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76.0 City-Wide
51.9 Queens
22.9 Tract

Census Tract 4143500

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Injury ER Visit Rate Population (2011-2013)
All 22.9 7,110

Sex

Female 21.7 3,695
Male 29.3 3,411

Race/Ethnicity

Asian/Pacific Islander 5.8 3,126
Black 0.0 0
Hispanic 62.3 754
White 21.0 2,672

Age

0-14 years 29.9 1,269
15-24 years 36.3 771
25-34 years 18.8 1,115
35-44 years 18.6 858
45-54 years 14.8 1,151
55-64 years 21.4 889
65-74 years 18.2 495
75+ years 27.6 544
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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.