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 3010200 Average

78.2

Averages

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76.0 City-Wide
82.9 Brooklyn
78.2 Tract

Census Tract 3010200

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Injury ER Visit Rate Population (2011-2013)
All 78.2 15,847

Sex

Female 73.7 7,732
Male 105.0 8,115

Race/Ethnicity

Asian/Pacific Islander 9.5 9,878
Black 744.0 332
Hispanic 79.7 4,142
White 356.7 1,424

Age

0-14 years 108.1 2,683
15-24 years 100.8 1,894
25-34 years 61.5 3,446
35-44 years 71.2 2,403
45-54 years 56.6 2,526
55-64 years 67.1 1,655
65-74 years 82.7 641
75+ years 118.8 581
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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.