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 3018501 Average

186.9

Averages

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76.0 City-Wide
82.9 Brooklyn
186.9 Tract

Census Tract 3018501

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Injury ER Visit Rate Population (2011-2013)
All 186.9 11,291

Sex

Female 161.2 7,004
Male 308.2 4,286

Race/Ethnicity

Asian/Pacific Islander 132.9 489
Black 192.5 6,738
Hispanic 116.3 2,889
White 402.5 944

Age

0-14 years 163.7 2,994
15-24 years 195.6 1,805
25-34 years 252.5 1,410
35-44 years 161.9 1,501
45-54 years 215.3 1,412
55-64 years 232.1 767
65-74 years 119.2 889
75+ years 158.4 505
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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.