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 4071306 Average

31.7

Averages

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76.0 City-Wide
51.9 Queens
31.7 Tract

Census Tract 4071306

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Injury ER Visit Rate Population (2011-2013)
All 31.7 17,877

Sex

Female 29.1 9,374
Male 42.4 8,497

Race/Ethnicity

Asian/Pacific Islander 15.0 4,603
Black 146.6 832
Hispanic 65.7 2,830
White 17.6 9,166

Age

0-14 years 40.6 3,006
15-24 years 47.8 1,717
25-34 years 19.9 4,275
35-44 years 37.0 2,219
45-54 years 36.6 1,997
55-64 years 21.4 2,568
65-74 years 24.4 944
75+ years 39.8 1,131
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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.