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 2006500 Average

153.1

Averages

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76.0 City-Wide
103.2 Bronx
153.1 Tract

Census Tract 2006500

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Injury ER Visit Rate Population (2011-2013)
All 153.1 16,635

Sex

Female 154.6 8,446
Male 207.5 8,189

Race/Ethnicity

Asian/Pacific Islander 84.5 414
Black 155.9 5,195
Hispanic 129.6 9,785
White 290.5 754

Age

0-14 years 144.1 4,206
15-24 years 141.4 3,104
25-34 years 170.5 2,422
35-44 years 103.7 3,104
45-54 years 168.6 2,088
55-64 years 202.0 1,074
65-74 years 269.8 430
75+ years 401.0 202
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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.