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 2008300 Average

137.5

Averages

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76.0 City-Wide
103.2 Bronx
137.5 Tract

Census Tract 2008300

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Injury ER Visit Rate Population (2011-2013)
All 137.5 17,421

Sex

Female 149.4 9,041
Male 186.1 8,371

Race/Ethnicity

Asian/Pacific Islander 0.0 26
Black 209.6 3,841
Hispanic 86.9 13,088
White 0.0 143

Age

0-14 years 111.0 4,966
15-24 years 163.5 2,569
25-34 years 119.6 3,111
35-44 years 135.4 2,275
45-54 years 153.5 2,000
55-64 years 162.7 1,395
65-74 years 186.1 763
75+ years 209.7 329
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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.