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 3115800 Average

120.0

Averages

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76.0 City-Wide
82.9 Brooklyn
120.0 Tract

Census Tract 3115800

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Injury ER Visit Rate Population (2011-2013)
All 120.0 8,232

Sex

Female 117.0 4,710
Male 167.9 3,520

Race/Ethnicity

Asian/Pacific Islander 0.0 0
Black 124.4 5,119
Hispanic 70.1 3,026
White 0.0 82

Age

0-14 years 113.4 2,002
15-24 years 113.1 1,459
25-34 years 117.6 1,344
35-44 years 111.8 1,082
45-54 years 150.2 952
55-64 years 130.8 757
65-74 years 101.1 356
75+ years 152.3 256
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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.