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 3031900 Average

72.5

Averages

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76.0 City-Wide
82.9 Brooklyn
72.5 Tract

Census Tract 3031900

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Injury ER Visit Rate Population (2011-2013)
All 72.5 10,614

Sex

Female 72.6 5,988
Male 109.1 4,619

Race/Ethnicity

Asian/Pacific Islander 0.0 22
Black 59.2 8,111
Hispanic 213.8 781
White 106.5 1,662

Age

0-14 years 76.1 2,259
15-24 years 74.3 1,749
25-34 years 65.4 1,820
35-44 years 116.4 928
45-54 years 92.1 1,021
55-64 years 62.6 1,341
65-74 years 57.9 570
75+ years 31.8 912
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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.