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 4012500 Average

44.0

Averages

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76.0 City-Wide
51.9 Queens
44.0 Tract

Census Tract 4012500

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Injury ER Visit Rate Population (2011-2013)
All 44.0 5,978

Sex

Female 36.2 3,342
Male 62.2 2,635

Race/Ethnicity

Asian/Pacific Islander 74.2 445
Black 0.0 87
Hispanic 31.0 2,032
White 33.7 3,178

Age

0-14 years 70.2 627
15-24 years 64.8 694
25-34 years 19.0 2,102
35-44 years 51.7 619
45-54 years 41.8 790
55-64 years 107.1 364
65-74 years 28.2 355
75+ years 47.6 420
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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.