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 2033600 Average

77.0

Averages

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76.0 City-Wide
103.2 Bronx
77.0 Tract

Census Tract 2033600

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Injury ER Visit Rate Population (2011-2013)
All 77.0 18,855

Sex

Female 70.7 10,227
Male 104.9 8,627

Race/Ethnicity

Asian/Pacific Islander 127.2 283
Black 60.5 7,337
Hispanic 68.7 10,002
White 137.7 1,017

Age

0-14 years 103.7 3,547
15-24 years 92.5 2,974
25-34 years 85.4 2,460
35-44 years 69.6 2,415
45-54 years 56.2 3,006
55-64 years 57.9 2,486
65-74 years 70.4 767
75+ years 54.3 1,160
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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.