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 2030701 Average

34.2

Averages

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76.0 City-Wide
103.2 Bronx
34.2 Tract

Census Tract 2030701

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Injury ER Visit Rate Population (2011-2013)
All 34.2 15,869

Sex

Female 36.7 8,490
Male 43.6 7,378

Race/Ethnicity

Asian/Pacific Islander 14.6 481
Black 172.9 700
Hispanic 119.7 1,755
White 11.6 12,545

Age

0-14 years 37.2 2,718
15-24 years 68.2 1,672
25-34 years 40.0 1,976
35-44 years 37.7 1,750
45-54 years 32.5 2,064
55-64 years 22.1 2,218
65-74 years 28.1 1,422
75+ years 12.8 2,032
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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.