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 3017000 Average

35.7

Averages

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76.0 City-Wide
82.9 Brooklyn
35.7 Tract

Census Tract 3017000

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Injury ER Visit Rate Population (2011-2013)
All 35.7 10,932

Sex

Female 40.4 5,170
Male 43.8 5,760

Race/Ethnicity

Asian/Pacific Islander 5.9 3,874
Black 0.0 0
Hispanic 85.4 1,264
White 28.3 5,789

Age

0-14 years 54.7 1,681
15-24 years 48.8 1,126
25-34 years 33.1 1,661
35-44 years 36.8 1,384
45-54 years 30.2 1,855
55-64 years 27.7 1,407
65-74 years 19.0 1,055
75+ years 29.1 756
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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.