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 2031800 Average

50.1

Averages

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76.0 City-Wide
103.2 Bronx
50.1 Tract

Census Tract 2031800

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Injury ER Visit Rate Population (2011-2013)
All 50.1 7,570

Sex

Female 47.6 3,632
Male 62.5 3,934

Race/Ethnicity

Asian/Pacific Islander 17.7 395
Black 315.2 349
Hispanic 61.0 2,771
White 12.3 3,905

Age

0-14 years 57.5 1,705
15-24 years 66.0 803
25-34 years 60.2 864
35-44 years 51.1 1,076
45-54 years 41.8 956
55-64 years 42.8 982
65-74 years 59.7 385
75+ years 20.4 786
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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.