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 5014604 Average

75.1

Averages

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76.0 City-Wide
108.7 Staten Island
75.1 Tract

Census Tract 5014604

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Injury ER Visit Rate Population (2011-2013)
All 75.1 22,683

Sex

Female 78.9 11,345
Male 100.7 11,336

Race/Ethnicity

Asian/Pacific Islander 80.3 797
Black 0.0 0
Hispanic 150.2 1,917
White 47.9 19,869

Age

0-14 years 65.1 4,575
15-24 years 117.6 2,279
25-34 years 89.4 3,335
35-44 years 80.7 2,876
45-54 years 60.7 3,754
55-64 years 60.6 2,985
65-74 years 59.7 1,624
75+ years 81.6 1,237
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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.