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 3041300 Average

125.7

Averages

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76.0 City-Wide
82.9 Brooklyn
125.7 Tract

Census Tract 3041300

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Injury ER Visit Rate Population (2011-2013)
All 125.7 11,116

Sex

Female 113.9 6,275
Male 192.4 4,840

Race/Ethnicity

Asian/Pacific Islander 0.0 51
Black 224.0 2,826
Hispanic 67.4 7,301
White 416.0 613

Age

0-14 years 121.0 2,811
15-24 years 123.2 1,640
25-34 years 118.7 1,979
35-44 years 158.2 1,144
45-54 years 107.4 1,667
55-64 years 178.6 812
65-74 years 105.2 542
75+ years 113.3 512
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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.