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 3015000 Average

29.2

Averages

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76.0 City-Wide
82.9 Brooklyn
29.2 Tract

Census Tract 3015000

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Injury ER Visit Rate Population (2011-2013)
All 29.2 5,242

Sex

Female 32.4 2,901
Male 41.5 2,338

Race/Ethnicity

Asian/Pacific Islander 14.5 620
Black 0.0 3
Hispanic 357.1 112
White 17.5 4,452

Age

0-14 years 70.6 595
15-24 years 47.1 616
25-34 years 30.7 618
35-44 years 31.3 576
45-54 years 21.1 712
55-64 years 14.2 983
65-74 years 24.0 333
75+ years 10.3 775
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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.