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 3116400 Average

99.1

Averages

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76.0 City-Wide
82.9 Brooklyn
99.1 Tract

Census Tract 3116400

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Injury ER Visit Rate Population (2011-2013)
All 99.1 9,031

Sex

Female 99.2 4,867
Male 135.7 4,163

Race/Ethnicity

Asian/Pacific Islander 0.0 9
Black 83.6 6,484
Hispanic 92.2 2,147
White 0.0 70

Age

0-14 years 96.7 1,748
15-24 years 108.1 1,461
25-34 years 108.9 1,230
35-44 years 69.8 1,618
45-54 years 125.5 1,100
55-64 years 140.6 640
65-74 years 78.3 664
75+ years 73.5 558
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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.