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 2041300 Average

92.8

Averages

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76.0 City-Wide
103.2 Bronx
92.8 Tract

Census Tract 2041300

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Injury ER Visit Rate Population (2011-2013)
All 92.8 22,090

Sex

Female 92.9 11,821
Male 117.7 10,269

Race/Ethnicity

Asian/Pacific Islander 57.9 1,227
Black 383.2 1,545
Hispanic 57.4 15,914
White 79.9 3,015

Age

0-14 years 107.9 4,736
15-24 years 110.9 3,031
25-34 years 87.2 3,486
35-44 years 57.7 3,814
45-54 years 83.8 3,602
55-64 years 91.1 1,909
65-74 years 117.4 852
75+ years 162.4 628
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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.