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 2016900 Average

103.0

Averages

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76.0 City-Wide
103.2 Bronx
103.0 Tract

Census Tract 2016900

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Injury ER Visit Rate Population (2011-2013)
All 103.0 5,067

Sex

Female 99.5 2,795
Male 141.3 2,271

Race/Ethnicity

Asian/Pacific Islander 0.0 0
Black 66.4 2,590
Hispanic 81.9 2,406
White 0.0 38

Age

0-14 years 139.7 1,045
15-24 years 83.3 984
25-34 years 78.8 1,002
35-44 years 143.7 487
45-54 years 75.7 859
55-64 years 84.5 497
65-74 years 138.6 166
75+ years 0.0 24
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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.