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 4157901 Average

23.2

Averages

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76.0 City-Wide
51.9 Queens
23.2 Tract

Census Tract 4157901

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Injury ER Visit Rate Population (2011-2013)
All 23.2 15,710

Sex

Female 25.2 7,908
Male 29.7 7,802

Race/Ethnicity

Asian/Pacific Islander 7.3 6,710
Black 0.0 54
Hispanic 60.2 1,312
White 17.5 6,908

Age

0-14 years 33.0 2,698
15-24 years 26.9 2,079
25-34 years 36.4 1,483
35-44 years 29.1 1,652
45-54 years 15.6 3,081
55-64 years 14.2 2,246
65-74 years 13.9 1,010
75+ years 16.5 1,458
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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.