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 3088200 Average

124.8

Averages

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76.0 City-Wide
82.9 Brooklyn
124.8 Tract

Census Tract 3088200

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Injury ER Visit Rate Population (2011-2013)
All 124.8 19,456

Sex

Female 127.6 10,403
Male 180.2 9,051

Race/Ethnicity

Asian/Pacific Islander 168.1 351
Black 106.4 17,711
Hispanic 460.2 867
White 0.0 1

Age

0-14 years 133.4 3,756
15-24 years 158.1 2,637
25-34 years 179.5 2,334
35-44 years 105.6 2,842
45-54 years 105.8 2,995
55-64 years 109.8 2,451
65-74 years 82.0 1,536
75+ years 89.1 887
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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.