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 2023600 Average

119.0

Averages

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76.0 City-Wide
103.2 Bronx
119.0 Tract

Census Tract 2023600

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Injury ER Visit Rate Population (2011-2013)
All 119.0 5,998

Sex

Female 126.5 3,004
Male 146.2 2,990

Race/Ethnicity

Asian/Pacific Islander 73.7 217
Black 276.5 810
Hispanic 86.1 3,671
White 76.3 1,154

Age

0-14 years 164.9 1,146
15-24 years 107.0 1,056
25-34 years 98.6 1,085
35-44 years 129.3 758
45-54 years 115.1 756
55-64 years 114.3 481
65-74 years 60.8 543
75+ years 216.2 148
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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.