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 2017500 Average

152.0

Averages

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76.0 City-Wide
103.2 Bronx
152.0 Tract

Census Tract 2017500

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Injury ER Visit Rate Population (2011-2013)
All 152.0 20,042

Sex

Female 150.0 10,849
Male 216.7 9,189

Race/Ethnicity

Asian/Pacific Islander 0.0 0
Black 118.6 8,362
Hispanic 108.0 11,236
White 0.0 211

Age

0-14 years 136.9 4,953
15-24 years 142.6 3,675
25-34 years 184.0 2,620
35-44 years 164.2 2,351
45-54 years 157.2 2,684
55-64 years 202.2 1,568
65-74 years 95.4 1,551
75+ years 143.5 620
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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.