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 3037900 Average

120.2

Averages

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76.0 City-Wide
82.9 Brooklyn
120.2 Tract

Census Tract 3037900

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Injury ER Visit Rate Population (2011-2013)
All 120.2 11,710

Sex

Female 103.1 7,117
Male 200.5 4,593

Race/Ethnicity

Asian/Pacific Islander 0.0 0
Black 86.9 9,748
Hispanic 200.3 1,338
White 795.2 420

Age

0-14 years 130.0 2,516
15-24 years 122.5 1,959
25-34 years 140.8 1,861
35-44 years 87.9 1,763
45-54 years 133.3 1,380
55-64 years 107.5 1,116
65-74 years 82.0 841
75+ years 200.0 250
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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.