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 4091900 Average

44.8

Averages

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76.0 City-Wide
51.9 Queens
44.8 Tract

Census Tract 4091900

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Injury ER Visit Rate Population (2011-2013)
All 44.8 18,692

Sex

Female 45.9 9,023
Male 53.6 9,669

Race/Ethnicity

Asian/Pacific Islander 29.5 5,055
Black 282.4 517
Hispanic 36.7 7,336
White 46.1 5,340

Age

0-14 years 67.3 2,629
15-24 years 56.5 2,142
25-34 years 44.3 2,915
35-44 years 42.5 2,797
45-54 years 53.7 2,143
55-64 years 25.0 3,000
65-74 years 31.5 1,589
75+ years 34.7 1,469
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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.