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 3003000 Average

42.6

Averages

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76.0 City-Wide
82.9 Brooklyn
42.6 Tract

Census Tract 3003000

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Injury ER Visit Rate Population (2011-2013)
All 42.6 5,724

Sex

Female 56.7 2,591
Male 51.4 3,132

Race/Ethnicity

Asian/Pacific Islander 23.6 592
Black 333.3 201
Hispanic 63.8 972
White 30.5 3,873

Age

0-14 years 57.2 1,066
15-24 years 92.4 487
25-34 years 42.7 889
35-44 years 43.1 742
45-54 years 18.8 1,225
55-64 years 31.9 627
65-74 years 31.6 475
75+ years 48.8 205
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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.