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 2023302 Average

109.3

Averages

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76.0 City-Wide
103.2 Bronx
109.3 Tract

Census Tract 2023302

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Injury ER Visit Rate Population (2011-2013)
All 109.3 9,208

Sex

Female 92.3 5,491
Male 182.7 3,716

Race/Ethnicity

Asian/Pacific Islander 0.0 33
Black 179.3 1,813
Hispanic 49.1 7,149
White 480.3 127

Age

0-14 years 112.2 2,032
15-24 years 92.5 2,011
25-34 years 103.4 1,557
35-44 years 212.6 621
45-54 years 91.1 1,525
55-64 years 112.7 772
65-74 years 76.6 561
75+ years 270.3 111
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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.