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 2029302 Average

40.2

Averages

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76.0 City-Wide
103.2 Bronx
40.2 Tract

Census Tract 2029302

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Injury ER Visit Rate Population (2011-2013)
All 40.2 15,362

Sex

Female 37.8 8,289
Male 55.8 7,073

Race/Ethnicity

Asian/Pacific Islander 26.0 615
Black 131.0 901
Hispanic 73.6 3,001
White 15.0 10,584

Age

0-14 years 50.1 2,096
15-24 years 135.5 812
25-34 years 61.0 1,705
35-44 years 34.5 2,203
45-54 years 43.3 2,011
55-64 years 27.5 2,541
65-74 years 21.0 1,622
75+ years 13.5 2,368
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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.