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 2041400 Average

85.3

Averages

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76.0 City-Wide
103.2 Bronx
85.3 Tract

Census Tract 2041400

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Injury ER Visit Rate Population (2011-2013)
All 85.3 15,145

Sex

Female 79.7 7,745
Male 106.6 7,395

Race/Ethnicity

Asian/Pacific Islander 27.4 1,205
Black 54.7 8,686
Hispanic 140.8 3,955
White 146.1 924

Age

0-14 years 117.5 2,765
15-24 years 86.5 2,602
25-34 years 75.8 2,455
35-44 years 116.6 1,587
45-54 years 65.3 2,326
55-64 years 55.4 1,966
65-74 years 78.6 840
75+ years 76.8 573
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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.