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 2006200 Average

118.6

Averages

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76.0 City-Wide
103.2 Bronx
118.6 Tract

Census Tract 2006200

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Injury ER Visit Rate Population (2011-2013)
All 118.6 22,218

Sex

Female 110.8 11,517
Male 161.2 10,694

Race/Ethnicity

Asian/Pacific Islander 0.0 16
Black 105.9 7,695
Hispanic 91.9 14,255
White 0.0 39

Age

0-14 years 105.2 5,779
15-24 years 98.0 4,357
25-34 years 141.2 3,151
35-44 years 163.6 2,090
45-54 years 121.1 2,816
55-64 years 148.4 1,631
65-74 years 79.7 1,481
75+ years 126.8 891
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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.