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 4046800 Average

64.9

Averages

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76.0 City-Wide
51.9 Queens
64.9 Tract

Census Tract 4046800

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Injury ER Visit Rate Population (2011-2013)
All 64.9 10,918

Sex

Female 63.0 5,668
Male 87.0 5,250

Race/Ethnicity

Asian/Pacific Islander 18.4 4,614
Black 164.4 1,825
Hispanic 58.0 2,536
White 598.7 314

Age

0-14 years 96.8 1,993
15-24 years 72.4 1,465
25-34 years 102.0 1,216
35-44 years 43.4 1,798
45-54 years 56.7 1,393
55-64 years 39.7 1,611
65-74 years 33.9 1,062
75+ years 77.5 374
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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.