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 3047600 Average

37.0

Averages

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76.0 City-Wide
82.9 Brooklyn
37.0 Tract

Census Tract 3047600

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Injury ER Visit Rate Population (2011-2013)
All 37.0 11,128

Sex

Female 38.1 5,585
Male 47.1 5,542

Race/Ethnicity

Asian/Pacific Islander 0.0 2
Black 0.0 3
Hispanic 593.9 165
White 19.3 10,889

Age

0-14 years 26.5 3,850
15-24 years 31.9 1,911
25-34 years 53.7 1,136
35-44 years 83.6 634
45-54 years 58.5 975
55-64 years 31.5 1,176
65-74 years 30.6 719
75+ years 26.5 717
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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.