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 4016400 Average

59.7

Averages

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76.0 City-Wide
51.9 Queens
59.7 Tract

Census Tract 4016400

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Injury ER Visit Rate Population (2011-2013)
All 59.7 11,013

Sex

Female 60.1 5,876
Male 78.9 5,135

Race/Ethnicity

Asian/Pacific Islander 20.7 2,276
Black 63.7 4,204
Hispanic 165.1 1,066
White 760.3 146

Age

0-14 years 76.4 2,422
15-24 years 77.5 1,380
25-34 years 49.7 1,752
35-44 years 50.0 1,661
45-54 years 42.8 1,660
55-64 years 56.8 1,286
65-74 years 47.6 483
75+ years 78.4 357
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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.