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 3073800 Average

56.6

Averages

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76.0 City-Wide
82.9 Brooklyn
56.6 Tract

Census Tract 3073800

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Injury ER Visit Rate Population (2011-2013)
All 56.6 10,804

Sex

Female 58.5 5,637
Male 76.5 5,166

Race/Ethnicity

Asian/Pacific Islander 0.0 86
Black 57.1 5,321
Hispanic 89.6 982
White 51.2 4,281

Age

0-14 years 59.0 2,168
15-24 years 74.6 1,555
25-34 years 48.8 1,762
35-44 years 60.2 1,429
45-54 years 49.0 1,489
55-64 years 36.3 1,569
65-74 years 49.9 641
75+ years 193.0 171
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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.