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 3006300 Average

27.5

Averages

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76.0 City-Wide
82.9 Brooklyn
27.5 Tract

Census Tract 3006300

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Injury ER Visit Rate Population (2011-2013)
All 27.5 5,564

Sex

Female 28.9 3,186
Male 37.0 2,378

Race/Ethnicity

Asian/Pacific Islander 7.0 718
Black 0.0 62
Hispanic 46.9 832
White 20.2 3,754

Age

0-14 years 44.3 767
15-24 years 39.4 406
25-34 years 13.7 1,678
35-44 years 19.3 1,142
45-54 years 33.3 720
55-64 years 42.6 423
65-74 years 0.0 45
75+ years 21.3 375
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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.