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 2025400 Average

57.9

Averages

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76.0 City-Wide
103.2 Bronx
57.9 Tract

Census Tract 2025400

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Injury ER Visit Rate Population (2011-2013)
All 57.9 5,543

Sex

Female 59.9 2,905
Male 69.8 2,635

Race/Ethnicity

Asian/Pacific Islander 17.3 520
Black 957.3 117
Hispanic 107.7 1,226
White 6.9 3,631

Age

0-14 years 96.5 850
15-24 years 209.6 229
25-34 years 36.4 1,237
35-44 years 63.1 650
45-54 years 72.5 621
55-64 years 44.1 726
65-74 years 27.1 591
75+ years 19.3 622
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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.