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 4005100 Average

110.2

Averages

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76.0 City-Wide
51.9 Queens
110.2 Tract

Census Tract 4005100

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Injury ER Visit Rate Population (2011-2013)
All 110.2 5,971

Sex

Female 101.2 3,064
Male 145.2 2,907

Race/Ethnicity

Asian/Pacific Islander 30.6 2,550
Black 0.0 98
Hispanic 217.9 973
White 102.0 2,117

Age

0-14 years 142.7 1,086
15-24 years 92.5 930
25-34 years 108.3 1,053
35-44 years 91.3 1,073
45-54 years 85.8 851
55-64 years 102.3 528
65-74 years 119.5 293
75+ years 377.2 114
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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.