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 3047000 Average

22.1

Averages

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76.0 City-Wide
82.9 Brooklyn
22.1 Tract

Census Tract 3047000

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Injury ER Visit Rate Population (2011-2013)
All 22.1 9,622

Sex

Female 28.6 4,233
Male 22.6 5,389

Race/Ethnicity

Asian/Pacific Islander 0.0 30
Black 0.0 4
Hispanic 0.0 64
White 12.6 9,503

Age

0-14 years 19.1 3,516
15-24 years 16.5 1,519
25-34 years 29.4 952
35-44 years 43.1 650
45-54 years 36.4 604
55-64 years 16.6 1,086
65-74 years 23.1 519
75+ years 17.3 752
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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.