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 2019700 Average

98.0

Averages

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76.0 City-Wide
103.2 Bronx
98.0 Tract

Census Tract 2019700

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Injury ER Visit Rate Population (2011-2013)
All 98.0 24,019

Sex

Female 102.0 12,445
Male 133.0 11,574

Race/Ethnicity

Asian/Pacific Islander 23.3 1,760
Black 150.8 4,933
Hispanic 59.8 16,156
White 265.1 645

Age

0-14 years 72.7 7,196
15-24 years 101.6 4,194
25-34 years 80.8 4,245
35-44 years 101.6 2,993
45-54 years 126.9 2,505
55-64 years 148.8 1,721
65-74 years 129.2 743
75+ years 225.6 390
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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.