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 2040600 Average

120.4

Averages

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76.0 City-Wide
103.2 Bronx
120.4 Tract

Census Tract 2040600

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Injury ER Visit Rate Population (2011-2013)
All 120.4 9,759

Sex

Female 99.2 5,777
Male 182.9 3,981

Race/Ethnicity

Asian/Pacific Islander 0.0 73
Black 44.2 8,795
Hispanic 604.7 817
White 0.0 60

Age

0-14 years 161.3 1,848
15-24 years 117.4 1,627
25-34 years 200.0 1,060
35-44 years 136.2 1,109
45-54 years 78.7 1,767
55-64 years 95.4 1,080
65-74 years 61.7 664
75+ years 68.7 582
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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.