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 2005400 Average

106.7

Averages

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76.0 City-Wide
103.2 Bronx
106.7 Tract

Census Tract 2005400

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Injury ER Visit Rate Population (2011-2013)
All 106.7 18,285

Sex

Female 110.7 8,769
Male 129.2 9,516

Race/Ethnicity

Asian/Pacific Islander 166.0 265
Black 171.7 3,577
Hispanic 61.7 13,813
White 0.0 2

Age

0-14 years 109.7 3,663
15-24 years 95.6 3,348
25-34 years 103.4 2,929
35-44 years 116.8 2,422
45-54 years 99.6 2,672
55-64 years 111.6 1,757
65-74 years 167.1 712
75+ years 81.2 764
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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.