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 4025900 Average

46.2

Averages

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76.0 City-Wide
51.9 Queens
46.2 Tract

Census Tract 4025900

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Injury ER Visit Rate Population (2011-2013)
All 46.2 9,868

Sex

Female 54.1 4,303
Male 65.4 5,562

Race/Ethnicity

Asian/Pacific Islander 25.2 3,843
Black 0.0 19
Hispanic 42.7 4,234
White 109.1 1,458

Age

0-14 years 73.7 1,452
15-24 years 104.2 854
25-34 years 23.1 2,809
35-44 years 21.2 2,220
45-54 years 45.0 1,221
55-64 years 82.3 547
65-74 years 42.4 613
75+ years 184.9 119
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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.