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 2005902 Average

111.6

Averages

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76.0 City-Wide
103.2 Bronx
111.6 Tract

Census Tract 2005902

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Injury ER Visit Rate Population (2011-2013)
All 111.6 7,904

Sex

Female 104.8 4,628
Male 172.6 3,274

Race/Ethnicity

Asian/Pacific Islander 0.0 0
Black 148.8 1,861
Hispanic 65.4 5,566
White 487.7 244

Age

0-14 years 135.2 1,457
15-24 years 97.8 1,585
25-34 years 143.8 800
35-44 years 79.4 1,209
45-54 years 139.0 928
55-64 years 128.5 833
65-74 years 57.5 783
75+ years 135.2 281
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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.