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 2006800 Average

104.7

Averages

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76.0 City-Wide
103.2 Bronx
104.7 Tract

Census Tract 2006800

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Injury ER Visit Rate Population (2011-2013)
All 104.7 8,379

Sex

Female 104.8 4,009
Male 126.1 4,369

Race/Ethnicity

Asian/Pacific Islander 98.1 316
Black 86.7 2,987
Hispanic 88.8 4,560
White 0.0 79

Age

0-14 years 99.2 2,107
15-24 years 199.0 784
25-34 years 74.7 1,686
35-44 years 124.1 959
45-54 years 94.7 1,288
55-64 years 122.4 670
65-74 years 59.0 576
75+ years 107.8 269
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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.