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 4129104 Average

33.1

Averages

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76.0 City-Wide
51.9 Queens
33.1 Tract

Census Tract 4129104

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Injury ER Visit Rate Population (2011-2013)
All 33.1 12,916

Sex

Female 33.1 7,108
Male 47.5 5,808

Race/Ethnicity

Asian/Pacific Islander 18.2 3,801
Black 160.5 810
Hispanic 184.4 537
White 23.7 7,230

Age

0-14 years 38.9 2,415
15-24 years 61.3 1,012
25-34 years 53.1 1,468
35-44 years 20.1 2,137
45-54 years 27.2 1,912
55-64 years 19.9 1,964
65-74 years 25.9 964
75+ years 34.1 1,026
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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.