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 2029700 Average

35.1

Averages

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76.0 City-Wide
103.2 Bronx
35.1 Tract

Census Tract 2029700

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Injury ER Visit Rate Population (2011-2013)
All 35.1 10,934

Sex

Female 34.0 5,941
Male 47.3 4,990

Race/Ethnicity

Asian/Pacific Islander 31.5 445
Black 270.1 311
Hispanic 110.1 1,508
White 7.2 8,161

Age

0-14 years 48.5 1,834
15-24 years 56.4 1,028
25-34 years 58.5 991
35-44 years 28.8 1,389
45-54 years 48.7 1,232
55-64 years 15.8 1,648
65-74 years 25.3 908
75+ years 16.0 1,872
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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.