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 2008500 Average

133.4

Averages

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76.0 City-Wide
103.2 Bronx
133.4 Tract

Census Tract 2008500

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Injury ER Visit Rate Population (2011-2013)
All 133.4 17,794

Sex

Female 131.4 9,031
Male 181.4 8,752

Race/Ethnicity

Asian/Pacific Islander 330.6 124
Black 225.5 3,277
Hispanic 78.7 14,105
White 0.0 196

Age

0-14 years 109.8 4,946
15-24 years 132.5 3,124
25-34 years 134.8 2,974
35-44 years 120.9 2,316
45-54 years 187.6 1,658
55-64 years 143.4 1,555
65-74 years 139.4 746
75+ years 212.3 457
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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.