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 5022600 Average

79.7

Averages

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76.0 City-Wide
108.7 Staten Island
79.7 Tract

Census Tract 5022600

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Injury ER Visit Rate Population (2011-2013)
All 79.7 25,719

Sex

Female 94.7 11,555
Male 94.6 14,158

Race/Ethnicity

Asian/Pacific Islander 77.5 929
Black 189.1 1,618
Hispanic 77.7 4,430
White 65.0 18,403

Age

0-14 years 72.5 4,761
15-24 years 104.1 3,267
25-34 years 102.9 3,654
35-44 years 54.7 4,921
45-54 years 70.3 3,814
55-64 years 65.3 3,016
65-74 years 78.7 1,588
75+ years 192.9 674
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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.