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 3045300 Average

147.4

Averages

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76.0 City-Wide
82.9 Brooklyn
147.4 Tract

Census Tract 3045300

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Injury ER Visit Rate Population (2011-2013)
All 147.4 5,638

Sex

Female 181.6 2,715
Male 177.8 2,914

Race/Ethnicity

Asian/Pacific Islander 0.0 38
Black 700.4 474
Hispanic 87.2 3,201
White 88.3 1,846

Age

0-14 years 272.9 700
15-24 years 172.9 798
25-34 years 67.6 2,160
35-44 years 135.9 802
45-54 years 190.2 573
55-64 years 252.6 289
65-74 years 202.3 173
75+ years 0.0 92
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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.