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 3050600 Average

105.1

Averages

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76.0 City-Wide
82.9 Brooklyn
105.1 Tract

Census Tract 3050600

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Injury ER Visit Rate Population (2011-2013)
All 105.1 17,429

Sex

Female 98.7 9,550
Male 142.5 7,879

Race/Ethnicity

Asian/Pacific Islander 88.3 1,167
Black 98.3 7,617
Hispanic 54.2 6,589
White 340.5 1,803

Age

0-14 years 110.1 3,834
15-24 years 78.4 3,225
25-34 years 94.9 3,204
35-44 years 113.7 1,944
45-54 years 123.2 2,029
55-64 years 92.9 1,840
65-74 years 156.5 658
75+ years 158.3 676
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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.