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 3017100 Average

27.9

Averages

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76.0 City-Wide
82.9 Brooklyn
27.9 Tract

Census Tract 3017100

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Injury ER Visit Rate Population (2011-2013)
All 27.9 12,036

Sex

Female 26.4 6,203
Male 34.5 5,832

Race/Ethnicity

Asian/Pacific Islander 20.4 931
Black 290.8 282
Hispanic 131.0 588
White 13.6 9,795

Age

0-14 years 35.1 2,164
15-24 years 34.2 1,200
25-34 years 39.7 1,738
35-44 years 15.4 2,528
45-54 years 21.6 1,618
55-64 years 27.1 1,401
65-74 years 23.3 817
75+ years 33.9 561
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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.