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 3060600 Average

58.8

Averages

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76.0 City-Wide
82.9 Brooklyn
58.8 Tract

Census Tract 3060600

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Injury ER Visit Rate Population (2011-2013)
All 58.8 7,846

Sex

Female 57.6 3,977
Male 87.9 3,856

Race/Ethnicity

Asian/Pacific Islander 31.5 1,303
Black 300.0 300
Hispanic 146.7 600
White 47.0 5,494

Age

0-14 years 111.0 919
15-24 years 80.4 883
25-34 years 84.1 868
35-44 years 61.8 825
45-54 years 43.8 1,050
55-64 years 45.5 1,428
65-74 years 27.1 1,106
75+ years 30.8 747
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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.