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 2018102 Average

99.0

Averages

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76.0 City-Wide
103.2 Bronx
99.0 Tract

Census Tract 2018102

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Injury ER Visit Rate Population (2011-2013)
All 99.0 16,889

Sex

Female 100.7 8,295
Male 130.4 8,594

Race/Ethnicity

Asian/Pacific Islander 42.9 559
Black 76.0 7,411
Hispanic 67.0 8,343
White 518.9 318

Age

0-14 years 101.6 3,739
15-24 years 134.4 2,203
25-34 years 73.9 3,411
35-44 years 82.8 2,536
45-54 years 125.7 1,909
55-64 years 110.8 1,471
65-74 years 82.1 938
75+ years 81.4 663
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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.