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 4015000 Average

63.4

Averages

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76.0 City-Wide
51.9 Queens
63.4 Tract

Census Tract 4015000

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Injury ER Visit Rate Population (2011-2013)
All 63.4 7,683

Sex

Female 60.7 4,086
Male 88.4 3,597

Race/Ethnicity

Asian/Pacific Islander 21.4 2,668
Black 121.0 1,264
Hispanic 129.1 1,208
White 195.7 506

Age

0-14 years 87.0 1,334
15-24 years 53.1 1,489
25-34 years 67.6 1,228
35-44 years 55.3 1,175
45-54 years 37.5 1,252
55-64 years 62.5 736
65-74 years 68.0 338
75+ years 0.0 85
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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.