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 3027800 Average

63.5

Averages

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76.0 City-Wide
82.9 Brooklyn
63.5 Tract

Census Tract 3027800

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Injury ER Visit Rate Population (2011-2013)
All 63.5 8,079

Sex

Female 58.5 4,482
Male 105.9 3,597

Race/Ethnicity

Asian/Pacific Islander 21.2 2,687
Black 0.0 12
Hispanic 263.2 513
White 61.0 4,738

Age

0-14 years 110.5 1,149
15-24 years 88.2 884
25-34 years 54.0 1,371
35-44 years 64.4 994
45-54 years 54.6 1,281
55-64 years 70.3 569
65-74 years 31.4 986
75+ years 36.9 786
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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.