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 2007600 Average

91.5

Averages

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76.0 City-Wide
103.2 Bronx
91.5 Tract

Census Tract 2007600

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Injury ER Visit Rate Population (2011-2013)
All 91.5 16,685

Sex

Female 86.3 8,446
Male 119.9 8,239

Race/Ethnicity

Asian/Pacific Islander 78.6 471
Black 144.5 3,419
Hispanic 59.9 10,889
White 388.9 450

Age

0-14 years 70.0 4,701
15-24 years 146.1 1,828
25-34 years 68.2 3,636
35-44 years 83.0 2,445
45-54 years 92.9 2,184
55-64 years 133.7 980
65-74 years 146.9 531
75+ years 192.6 353
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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.