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 4109900 Average

31.7

Averages

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76.0 City-Wide
51.9 Queens
31.7 Tract

Census Tract 4109900

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Injury ER Visit Rate Population (2011-2013)
All 31.7 10,720

Sex

Female 32.6 5,638
Male 39.6 5,078

Race/Ethnicity

Asian/Pacific Islander 14.5 2,966
Black 0.0 25
Hispanic 44.9 1,693
White 23.7 5,689

Age

0-14 years 39.9 1,932
15-24 years 37.7 1,353
25-34 years 34.4 1,511
35-44 years 24.2 1,733
45-54 years 28.6 1,470
55-64 years 32.4 1,359
65-74 years 20.7 774
75+ years 27.8 575
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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.