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 2038302 Average

158.9

Averages

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76.0 City-Wide
103.2 Bronx
158.9 Tract

Census Tract 2038302

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Injury ER Visit Rate Population (2011-2013)
All 158.9 15,514

Sex

Female 135.3 8,734
Male 241.6 6,780

Race/Ethnicity

Asian/Pacific Islander 0.0 0
Black 113.9 6,979
Hispanic 149.1 8,047
White 0.0 96

Age

0-14 years 137.7 4,153
15-24 years 145.3 2,932
25-34 years 196.2 1,978
35-44 years 136.8 2,244
45-54 years 149.1 2,367
55-64 years 259.8 820
65-74 years 190.8 608
75+ years 230.8 390
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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.