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 3000501 Average

29.3

Averages

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76.0 City-Wide
82.9 Brooklyn
29.3 Tract

Census Tract 3000501

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Injury ER Visit Rate Population (2011-2013)
All 29.3 12,031

Sex

Female 40.9 5,475
Male 31.0 6,556

Race/Ethnicity

Asian/Pacific Islander 9.7 931
Black 206.3 669
Hispanic 103.6 608
White 15.8 9,322

Age

0-14 years 44.5 1,642
15-24 years 25.0 2,038
25-34 years 24.9 2,292
35-44 years 29.6 1,923
45-54 years 37.3 1,100
55-64 years 19.4 1,752
65-74 years 26.2 610
75+ years 37.7 636
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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.