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 3094402 Average

141.0

Averages

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76.0 City-Wide
82.9 Brooklyn
141.0 Tract

Census Tract 3094402

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Injury ER Visit Rate Population (2011-2013)
All 141.0 8,362

Sex

Female 120.4 5,399
Male 245.1 2,962

Race/Ethnicity

Asian/Pacific Islander 0.0 58
Black 107.8 7,053
Hispanic 273.1 758
White 641.8 388

Age

0-14 years 134.5 1,992
15-24 years 115.2 1,588
25-34 years 238.2 844
35-44 years 123.0 1,106
45-54 years 139.4 1,126
55-64 years 160.8 659
65-74 years 141.8 564
75+ years 102.3 469
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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.