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 3021300 Average

89.6

Averages

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76.0 City-Wide
82.9 Brooklyn
89.6 Tract

Census Tract 3021300

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Injury ER Visit Rate Population (2011-2013)
All 89.6 13,459

Sex

Female 84.7 7,390
Male 127.1 6,067

Race/Ethnicity

Asian/Pacific Islander 145.8 240
Black 74.9 9,624
Hispanic 136.1 1,389
White 167.4 1,882

Age

0-14 years 104.1 2,738
15-24 years 98.9 1,779
25-34 years 87.0 2,298
35-44 years 75.2 1,969
45-54 years 94.9 1,771
55-64 years 64.1 1,793
65-74 years 89.5 648
75+ years 122.5 457
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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.