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 2023100 Average

114.3

Averages

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76.0 City-Wide
103.2 Bronx
114.3 Tract

Census Tract 2023100

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Injury ER Visit Rate Population (2011-2013)
All 114.3 4,278

Sex

Female 129.0 1,860
Male 136.1 2,417

Race/Ethnicity

Asian/Pacific Islander 0.0 0
Black 73.4 2,165
Hispanic 70.1 2,039
White 0.0 25

Age

0-14 years 138.3 817
15-24 years 99.2 726
25-34 years 153.7 553
35-44 years 86.6 739
45-54 years 102.6 721
55-64 years 155.3 322
65-74 years 148.4 155
75+ years 33.8 237
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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.