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 3013000 Average

64.6

Averages

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76.0 City-Wide
82.9 Brooklyn
64.6 Tract

Census Tract 3013000

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Injury ER Visit Rate Population (2011-2013)
All 64.6 15,134

Sex

Female 68.9 7,443
Male 78.3 7,692

Race/Ethnicity

Asian/Pacific Islander 18.7 2,783
Black 773.6 265
Hispanic 81.8 3,106
White 49.6 8,632

Age

0-14 years 71.2 2,978
15-24 years 62.0 2,049
25-34 years 82.6 2,325
35-44 years 46.5 2,536
45-54 years 67.6 1,819
55-64 years 69.0 1,463
65-74 years 46.0 1,153
75+ years 66.2 785
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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.