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 3090200 Average

116.7

Averages

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76.0 City-Wide
82.9 Brooklyn
116.7 Tract

Census Tract 3090200

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Injury ER Visit Rate Population (2011-2013)
All 116.7 11,847

Sex

Female 108.4 6,936
Male 175.8 4,909

Race/Ethnicity

Asian/Pacific Islander 212.0 184
Black 108.2 8,930
Hispanic 107.8 2,542
White 0.0 30

Age

0-14 years 74.1 3,954
15-24 years 148.9 1,659
25-34 years 149.2 1,555
35-44 years 107.3 1,585
45-54 years 122.9 1,448
55-64 years 206.5 736
65-74 years 130.3 499
75+ years 111.4 404
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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.