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 2039300 Average

156.9

Averages

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76.0 City-Wide
103.2 Bronx
156.9 Tract

Census Tract 2039300

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Injury ER Visit Rate Population (2011-2013)
All 156.9 22,749

Sex

Female 131.8 13,222
Male 243.0 9,526

Race/Ethnicity

Asian/Pacific Islander 90.1 555
Black 192.3 6,088
Hispanic 123.1 14,943
White 365.8 954

Age

0-14 years 146.2 5,335
15-24 years 156.4 4,169
25-34 years 150.3 3,787
35-44 years 160.1 2,935
45-54 years 205.0 2,219
55-64 years 158.1 2,270
65-74 years 171.8 902
75+ years 117.2 1,109
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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.