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 4004500 Average

65.0

Averages

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76.0 City-Wide
51.9 Queens
65.0 Tract

Census Tract 4004500

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Injury ER Visit Rate Population (2011-2013)
All 65.0 8,221

Sex

Female 60.2 4,555
Male 86.0 3,662

Race/Ethnicity

Asian/Pacific Islander 37.6 1,438
Black 174.0 546
Hispanic 92.4 1,386
White 38.8 4,641

Age

0-14 years 112.2 900
15-24 years 140.2 478
25-34 years 108.3 840
35-44 years 51.8 1,390
45-54 years 80.6 931
55-64 years 42.0 1,380
65-74 years 38.6 829
75+ years 26.2 1,453
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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.