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 2006900 Average

162.5

Averages

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76.0 City-Wide
103.2 Bronx
162.5 Tract

Census Tract 2006900

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Injury ER Visit Rate Population (2011-2013)
All 162.5 20,474

Sex

Female 147.3 11,470
Male 252.0 9,004

Race/Ethnicity

Asian/Pacific Islander 220.8 154
Black 158.9 6,965
Hispanic 123.2 12,560
White 822.8 316

Age

0-14 years 137.5 5,752
15-24 years 193.0 3,275
25-34 years 135.0 3,875
35-44 years 196.8 2,155
45-54 years 172.0 2,488
55-64 years 222.3 1,300
65-74 years 266.1 466
75+ years 101.1 1,147
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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.