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 2011900 Average

119.2

Averages

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76.0 City-Wide
103.2 Bronx
119.2 Tract

Census Tract 2011900

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Injury ER Visit Rate Population (2011-2013)
All 119.2 17,061

Sex

Female 124.7 8,860
Male 156.7 8,199

Race/Ethnicity

Asian/Pacific Islander 0.0 0
Black 134.1 5,095
Hispanic 74.5 11,806
White 0.0 40

Age

0-14 years 97.9 4,697
15-24 years 136.2 2,723
25-34 years 103.9 2,983
35-44 years 108.6 2,219
45-54 years 163.5 1,816
55-64 years 160.0 1,269
65-74 years 109.4 823
75+ years 117.3 520
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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.