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 3026900 Average

106.1

Averages

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76.0 City-Wide
82.9 Brooklyn
106.1 Tract

Census Tract 3026900

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Injury ER Visit Rate Population (2011-2013)
All 106.1 7,100

Sex

Female 94.6 4,207
Male 169.8 2,892

Race/Ethnicity

Asian/Pacific Islander 0.0 13
Black 78.5 5,887
Hispanic 211.9 703
White 325.2 449

Age

0-14 years 159.9 1,126
15-24 years 146.2 807
25-34 years 103.4 1,189
35-44 years 100.9 1,001
45-54 years 104.5 947
55-64 years 60.6 957
65-74 years 55.5 811
75+ years 116.0 250
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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.