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 2018302 Average

101.3

Averages

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76.0 City-Wide
103.2 Bronx
101.3 Tract

Census Tract 2018302

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Injury ER Visit Rate Population (2011-2013)
All 101.3 12,147

Sex

Female 103.2 5,938
Male 137.1 6,205

Race/Ethnicity

Asian/Pacific Islander 86.8 288
Black 98.2 4,083
Hispanic 67.7 7,444
White 825.0 120

Age

0-14 years 126.7 2,463
15-24 years 91.2 2,225
25-34 years 79.3 2,270
35-44 years 79.9 2,089
45-54 years 111.7 1,325
55-64 years 124.7 914
65-74 years 116.6 566
75+ years 144.4 277
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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.