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 3110400 Average

111.9

Averages

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76.0 City-Wide
82.9 Brooklyn
111.9 Tract

Census Tract 3110400

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Injury ER Visit Rate Population (2011-2013)
All 111.9 14,905

Sex

Female 119.2 7,846
Male 149.6 7,059

Race/Ethnicity

Asian/Pacific Islander 52.2 882
Black 96.0 11,403
Hispanic 171.9 2,310
White 0.0 191

Age

0-14 years 117.6 3,315
15-24 years 91.0 3,033
25-34 years 128.8 2,049
35-44 years 127.3 1,752
45-54 years 133.0 1,601
55-64 years 92.5 1,578
65-74 years 107.7 901
75+ years 91.3 646
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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.