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 4006502 Average

55.6

Averages

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76.0 City-Wide
51.9 Queens
55.6 Tract

Census Tract 4006502

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Injury ER Visit Rate Population (2011-2013)
All 55.6 11,949

Sex

Female 55.3 5,916
Male 69.1 6,031

Race/Ethnicity

Asian/Pacific Islander 63.0 1,223
Black 224.2 571
Hispanic 74.5 2,646
White 28.9 7,404

Age

0-14 years 103.1 1,310
15-24 years 67.9 1,591
25-34 years 29.6 3,239
35-44 years 43.2 1,921
45-54 years 66.4 1,477
55-64 years 57.2 1,014
65-74 years 47.1 913
75+ years 90.1 477
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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.