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 3001100 Average

144.7

Averages

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76.0 City-Wide
82.9 Brooklyn
144.7 Tract

Census Tract 3001100

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Injury ER Visit Rate Population (2011-2013)
All 144.7 1,327

Sex

Female 132.3 597
Male 194.5 730

Race/Ethnicity

Asian/Pacific Islander 113.6 132
Black 365.9 164
Hispanic 416.7 120
White 78.1 781

Age

0-14 years 0.0 20
15-24 years 142.3 281
25-34 years 61.7 600
35-44 years 94.3 212
45-54 years 188.0 117
55-64 years 0.0 16
65-74 years 0.0 4
75+ years 0.0 0
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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.