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 2003300 Average

136.7

Averages

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76.0 City-Wide
103.2 Bronx
136.7 Tract

Census Tract 2003300

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Injury ER Visit Rate Population (2011-2013)
All 136.7 11,535

Sex

Female 139.4 6,089
Male 186.8 5,445

Race/Ethnicity

Asian/Pacific Islander 0.0 0
Black 188.2 2,774
Hispanic 84.9 8,601
White 0.0 114

Age

0-14 years 111.1 3,123
15-24 years 113.3 2,250
25-34 years 196.0 1,250
35-44 years 106.5 1,841
45-54 years 163.9 1,306
55-64 years 193.5 930
65-74 years 143.4 572
75+ years 238.7 243
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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.