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 3024900 Average

91.7

Averages

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76.0 City-Wide
82.9 Brooklyn
91.7 Tract

Census Tract 3024900

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Injury ER Visit Rate Population (2011-2013)
All 91.7 11,111

Sex

Female 117.0 4,812
Male 97.9 6,289

Race/Ethnicity

Asian/Pacific Islander 92.7 259
Black 65.3 9,384
Hispanic 653.1 271
White 248.1 915

Age

0-14 years 150.1 1,526
15-24 years 90.6 1,633
25-34 years 71.8 2,423
35-44 years 80.8 1,659
45-54 years 88.1 1,657
55-64 years 98.9 961
65-74 years 81.1 666
75+ years 70.1 556
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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.