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 5007400 Average

139.0

Averages

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76.0 City-Wide
108.7 Staten Island
139.0 Tract

Census Tract 5007400

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Injury ER Visit Rate Population (2011-2013)
All 139.0 12,710

Sex

Female 140.5 6,600
Male 193.1 6,110

Race/Ethnicity

Asian/Pacific Islander 23.8 1,682
Black 0.0 111
Hispanic 162.3 1,694
White 116.0 9,111

Age

0-14 years 162.9 2,191
15-24 years 203.8 1,330
25-34 years 182.4 1,606
35-44 years 114.5 2,035
45-54 years 141.8 1,615
55-64 years 78.0 2,359
65-74 years 100.9 922
75+ years 165.9 645
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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.