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 4080302 Average

51.7

Averages

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76.0 City-Wide
51.9 Queens
51.7 Tract

Census Tract 4080302

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Injury ER Visit Rate Population (2011-2013)
All 51.7 9,039

Sex

Female 50.2 4,678
Male 67.7 4,360

Race/Ethnicity

Asian/Pacific Islander 22.0 3,550
Black 690.9 165
Hispanic 65.8 1,779
White 37.5 3,197

Age

0-14 years 63.1 1,744
15-24 years 82.7 955
25-34 years 72.4 926
35-44 years 38.8 1,700
45-54 years 51.4 993
55-64 years 34.1 1,204
65-74 years 34.7 777
75+ years 35.7 729
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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.