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 2035900 Average

144.3

Averages

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76.0 City-Wide
103.2 Bronx
144.3 Tract

Census Tract 2035900

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Injury ER Visit Rate Population (2011-2013)
All 144.3 5,426

Sex

Female 133.9 2,920
Male 196.5 2,504

Race/Ethnicity

Asian/Pacific Islander 0.0 0
Black 211.0 1,327
Hispanic 90.9 3,907
White 444.4 126

Age

0-14 years 145.9 1,145
15-24 years 116.9 1,163
25-34 years 232.7 520
35-44 years 115.8 907
45-54 years 181.7 655
55-64 years 137.6 603
65-74 years 97.4 267
75+ years 178.1 146
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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.