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 5000800 Average

102.0

Averages

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76.0 City-Wide
108.7 Staten Island
102.0 Tract

Census Tract 5000800

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Injury ER Visit Rate Population (2011-2013)
All 102.0 17,484

Sex

Female 107.6 8,850
Male 135.2 8,634

Race/Ethnicity

Asian/Pacific Islander 28.2 2,202
Black 505.9 591
Hispanic 49.4 5,118
White 120.8 9,332

Age

0-14 years 87.5 3,850
15-24 years 147.6 1,965
25-34 years 112.1 2,515
35-44 years 89.2 2,713
45-54 years 85.6 2,663
55-64 years 98.2 1,813
65-74 years 119.9 951
75+ years 113.8 984
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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.