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 3087600 Average

90.0

Averages

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76.0 City-Wide
82.9 Brooklyn
90.0 Tract

Census Tract 3087600

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Injury ER Visit Rate Population (2011-2013)
All 90.0 5,378

Sex

Female 87.5 2,868
Male 138.7 2,509

Race/Ethnicity

Asian/Pacific Islander 0.0 0
Black 97.1 3,438
Hispanic 154.6 511
White 92.2 1,247

Age

0-14 years 106.5 1,014
15-24 years 72.0 930
25-34 years 83.9 751
35-44 years 91.5 732
45-54 years 95.4 723
55-64 years 106.1 622
65-74 years 64.9 339
75+ years 84.3 261
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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.