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 2023900 Average

113.7

Averages

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76.0 City-Wide
103.2 Bronx
113.7 Tract

Census Tract 2023900

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Injury ER Visit Rate Population (2011-2013)
All 113.7 24,661

Sex

Female 99.6 13,791
Male 171.0 10,869

Race/Ethnicity

Asian/Pacific Islander 144.4 367
Black 136.6 6,157
Hispanic 67.9 17,482
White 603.2 431

Age

0-14 years 85.0 7,697
15-24 years 113.9 4,293
25-34 years 122.9 3,630
35-44 years 104.9 3,366
45-54 years 158.1 2,442
55-64 years 151.4 1,744
65-74 years 121.0 1,008
75+ years 195.7 465
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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.