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 3066000 Average

38.9

Averages

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76.0 City-Wide
82.9 Brooklyn
38.9 Tract

Census Tract 3066000

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Injury ER Visit Rate Population (2011-2013)
All 38.9 5,343

Sex

Female 38.4 2,710
Male 50.5 2,633

Race/Ethnicity

Asian/Pacific Islander 27.9 574
Black 0.0 69
Hispanic 41.0 805
White 20.1 3,881

Age

0-14 years 33.4 1,196
15-24 years 100.0 370
25-34 years 37.1 808
35-44 years 31.7 725
45-54 years 45.9 653
55-64 years 20.8 867
65-74 years 40.4 371
75+ years 45.0 333
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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.