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 2036502 Average

135.8

Averages

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76.0 City-Wide
103.2 Bronx
135.8 Tract

Census Tract 2036502

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Injury ER Visit Rate Population (2011-2013)
All 135.8 6,563

Sex

Female 121.6 3,544
Male 193.3 3,016

Race/Ethnicity

Asian/Pacific Islander 0.0 40
Black 150.4 1,955
Hispanic 93.7 4,505
White 0.0 28

Age

0-14 years 141.0 1,397
15-24 years 112.4 1,415
25-34 years 200.3 784
35-44 years 103.8 1,118
45-54 years 121.9 960
55-64 years 149.6 468
65-74 years 129.8 339
75+ years 0.0 76
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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.