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 3039600 Average

42.7

Averages

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76.0 City-Wide
82.9 Brooklyn
42.7 Tract

Census Tract 3039600

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Injury ER Visit Rate Population (2011-2013)
All 42.7 5,548

Sex

Female 40.2 2,982
Male 62.7 2,566

Race/Ethnicity

Asian/Pacific Islander 150.7 146
Black 264.7 272
Hispanic 157.0 293
White 21.4 4,863

Age

0-14 years 41.0 1,294
15-24 years 54.1 721
25-34 years 53.1 508
35-44 years 32.4 771
45-54 years 43.5 712
55-64 years 42.2 759
65-74 years 33.9 472
75+ years 46.2 303
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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.