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 2014701 Average

157.2

Averages

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76.0 City-Wide
103.2 Bronx
157.2 Tract

Census Tract 2014701

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Injury ER Visit Rate Population (2011-2013)
All 157.2 19,260

Sex

Female 135.4 11,542
Male 261.4 7,698

Race/Ethnicity

Asian/Pacific Islander 0.0 29
Black 104.9 9,618
Hispanic 125.2 9,358
White 0.0 37

Age

0-14 years 131.2 5,526
15-24 years 159.1 3,180
25-34 years 255.0 1,957
35-44 years 133.0 3,127
45-54 years 183.2 2,232
55-64 years 173.0 1,393
65-74 years 91.8 1,471
75+ years 325.5 298
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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.