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 3075800 Average

33.3

Averages

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76.0 City-Wide
82.9 Brooklyn
33.3 Tract

Census Tract 3075800

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Injury ER Visit Rate Population (2011-2013)
All 33.3 5,887

Sex

Female 37.0 2,812
Male 38.0 3,075

Race/Ethnicity

Asian/Pacific Islander 69.0 174
Black 0.0 0
Hispanic 61.9 436
White 17.3 5,199

Age

0-14 years 22.8 1,489
15-24 years 33.7 921
25-34 years 74.9 454
35-44 years 34.7 606
45-54 years 25.0 1,042
55-64 years 27.1 663
65-74 years 29.9 402
75+ years 69.0 290
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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.