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 2021002 Average

87.3

Averages

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76.0 City-Wide
103.2 Bronx
87.3 Tract

Census Tract 2021002

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Injury ER Visit Rate Population (2011-2013)
All 87.3 19,570

Sex

Female 74.3 11,050
Male 123.4 8,518

Race/Ethnicity

Asian/Pacific Islander 18.7 2,728
Black 47.5 10,252
Hispanic 134.5 5,436
White 230.1 843

Age

0-14 years 109.9 3,111
15-24 years 120.1 2,264
25-34 years 91.4 3,040
35-44 years 70.1 3,397
45-54 years 76.6 2,884
55-64 years 88.2 2,211
65-74 years 73.6 1,291
75+ years 50.4 1,350
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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.