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 4069701 Average

37.8

Averages

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76.0 City-Wide
51.9 Queens
37.8 Tract

Census Tract 4069701

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Injury ER Visit Rate Population (2011-2013)
All 37.8 10,731

Sex

Female 36.2 5,219
Male 50.8 5,512

Race/Ethnicity

Asian/Pacific Islander 30.5 2,397
Black 157.5 362
Hispanic 52.2 2,662
White 24.5 5,105

Age

0-14 years 73.8 1,300
15-24 years 49.8 1,226
25-34 years 23.2 2,591
35-44 years 39.0 1,640
45-54 years 29.4 1,431
55-64 years 32.0 1,157
65-74 years 25.7 700
75+ years 42.0 666
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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.