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 4139900 Average

15.8

Averages

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76.0 City-Wide
51.9 Queens
15.8 Tract

Census Tract 4139900

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Injury ER Visit Rate Population (2011-2013)
All 15.8 5,122

Sex

Female 18.3 2,735
Male 21.0 2,385

Race/Ethnicity

Asian/Pacific Islander 6.2 2,260
Black 0.0 3
Hispanic 83.3 288
White 9.4 2,560

Age

0-14 years 31.0 677
15-24 years 16.8 535
25-34 years 23.0 696
35-44 years 17.9 502
45-54 years 8.4 955
55-64 years 12.9 774
65-74 years 3.2 617
75+ years 17.0 352
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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.