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 3052900 Average

28.4

Averages

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76.0 City-Wide
82.9 Brooklyn
28.4 Tract

Census Tract 3052900

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Injury ER Visit Rate Population (2011-2013)
All 28.4 12,175

Sex

Female 26.4 6,202
Male 40.7 5,972

Race/Ethnicity

Asian/Pacific Islander 0.0 78
Black 0.0 66
Hispanic 81.2 973
White 11.7 11,052

Age

0-14 years 16.7 4,979
15-24 years 21.3 2,161
25-34 years 33.5 2,062
35-44 years 50.5 773
45-54 years 55.1 581
55-64 years 52.1 595
65-74 years 79.4 252
75+ years 35.9 724
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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.