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 3031100 Average

111.3

Averages

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76.0 City-Wide
82.9 Brooklyn
111.3 Tract

Census Tract 3031100

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Injury ER Visit Rate Population (2011-2013)
All 111.3 8,757

Sex

Female 111.0 5,000
Male 173.1 3,755

Race/Ethnicity

Asian/Pacific Islander 0.0 82
Black 89.2 7,267
Hispanic 274.9 684
White 394.4 568

Age

0-14 years 105.4 2,153
15-24 years 205.9 850
25-34 years 109.0 1,441
35-44 years 88.8 1,497
45-54 years 103.4 1,219
55-64 years 107.3 736
65-74 years 69.1 593
75+ years 149.2 248
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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.