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 2017300 Average

138.5

Averages

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76.0 City-Wide
103.2 Bronx
138.5 Tract

Census Tract 2017300

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Injury ER Visit Rate Population (2011-2013)
All 138.5 19,012

Sex

Female 135.7 9,772
Male 193.4 9,240

Race/Ethnicity

Asian/Pacific Islander 33.3 962
Black 127.7 6,397
Hispanic 111.1 10,821
White 0.0 1

Age

0-14 years 144.4 4,204
15-24 years 128.1 3,778
25-34 years 210.6 2,042
35-44 years 128.9 2,505
45-54 years 166.4 2,151
55-64 years 135.0 1,696
65-74 years 88.6 1,377
75+ years 64.1 1,248
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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.