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 2040303 Average

115.6

Averages

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76.0 City-Wide
103.2 Bronx
115.6 Tract

Census Tract 2040303

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Injury ER Visit Rate Population (2011-2013)
All 115.6 12,577

Sex

Female 121.5 6,477
Male 138.5 6,100

Race/Ethnicity

Asian/Pacific Islander 204.7 171
Black 191.4 2,315
Hispanic 71.1 9,413
White 265.0 600

Age

0-14 years 139.2 2,715
15-24 years 87.7 2,897
25-34 years 123.6 1,812
35-44 years 130.1 1,437
45-54 years 91.0 1,791
55-64 years 100.9 1,279
65-74 years 123.7 477
75+ years 394.7 152
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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.