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 3019600 Average

46.2

Averages

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76.0 City-Wide
82.9 Brooklyn
46.2 Tract

Census Tract 3019600

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Injury ER Visit Rate Population (2011-2013)
All 46.2 15,003

Sex

Female 43.8 7,344
Male 60.1 7,659

Race/Ethnicity

Asian/Pacific Islander 7.8 6,059
Black 797.0 133
Hispanic 52.1 3,803
White 60.9 4,957

Age

0-14 years 48.9 3,559
15-24 years 62.8 1,688
25-34 years 43.2 2,615
35-44 years 43.3 2,031
45-54 years 30.9 2,458
55-64 years 67.8 708
65-74 years 49.6 806
75+ years 42.7 1,124
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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.