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 4084900 Average

46.8

Averages

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76.0 City-Wide
51.9 Queens
46.8 Tract

Census Tract 4084900

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Injury ER Visit Rate Population (2011-2013)
All 46.8 20,852

Sex

Female 46.0 10,128
Male 57.9 10,721

Race/Ethnicity

Asian/Pacific Islander 9.8 15,463
Black 457.3 492
Hispanic 84.2 3,422
White 474.8 575

Age

0-14 years 88.1 2,666
15-24 years 42.2 3,151
25-34 years 41.7 3,553
35-44 years 37.9 3,375
45-54 years 25.2 4,333
55-64 years 54.6 1,739
65-74 years 66.5 872
75+ years 62.7 1,100
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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.