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 2032300 Average

37.5

Averages

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76.0 City-Wide
103.2 Bronx
37.5 Tract

Census Tract 2032300

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Injury ER Visit Rate Population (2011-2013)
All 37.5 13,856

Sex

Female 38.9 7,835
Male 56.0 6,021

Race/Ethnicity

Asian/Pacific Islander 14.2 1,054
Black 111.0 1,081
Hispanic 68.9 3,106
White 17.0 8,572

Age

0-14 years 59.7 1,943
15-24 years 105.1 818
25-34 years 60.2 1,411
35-44 years 26.1 2,183
45-54 years 27.9 2,363
55-64 years 22.7 2,074
65-74 years 27.1 1,255
75+ years 15.8 1,776
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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.