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 2028100 Average

41.2

Averages

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76.0 City-Wide
103.2 Bronx
41.2 Tract

Census Tract 2028100

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Injury ER Visit Rate Population (2011-2013)
All 41.2 12,057

Sex

Female 42.2 6,714
Male 51.7 5,342

Race/Ethnicity

Asian/Pacific Islander 133.9 112
Black 83.2 1,863
Hispanic 48.3 4,323
White 14.0 5,444

Age

0-14 years 94.2 1,412
15-24 years 51.0 1,333
25-34 years 89.9 690
35-44 years 45.1 1,442
45-54 years 34.8 1,723
55-64 years 28.0 1,966
65-74 years 22.8 1,492
75+ years 10.1 1,979
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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.