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 2015800 Average

48.6

Averages

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76.0 City-Wide
103.2 Bronx
48.6 Tract

Census Tract 2015800

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Injury ER Visit Rate Population (2011-2013)
All 48.6 3,988

Sex

Female 49.4 1,903
Male 56.2 2,083

Race/Ethnicity

Asian/Pacific Islander 7.0 143
Black 84.7 437
Hispanic 67.2 1,384
White 19.3 1,867

Age

0-14 years 53.7 782
15-24 years 53.0 491
25-34 years 44.0 591
35-44 years 33.6 625
45-54 years 63.8 549
55-64 years 61.2 343
65-74 years 60.6 198
75+ years 27.3 403
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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.