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 3117000 Average

129.2

Averages

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76.0 City-Wide
82.9 Brooklyn
129.2 Tract

Census Tract 3117000

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Injury ER Visit Rate Population (2011-2013)
All 129.2 6,152

Sex

Female 132.0 3,008
Male 148.5 3,144

Race/Ethnicity

Asian/Pacific Islander 346.2 104
Black 138.1 2,260
Hispanic 87.1 2,870
White 288.7 433

Age

0-14 years 96.9 1,662
15-24 years 183.9 669
25-34 years 131.8 1,047
35-44 years 100.2 1,058
45-54 years 133.3 878
55-64 years 163.8 464
65-74 years 167.3 251
75+ years 0.0 79
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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.