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 4161700 Average

28.1

Averages

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76.0 City-Wide
51.9 Queens
28.1 Tract

Census Tract 4161700

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Injury ER Visit Rate Population (2011-2013)
All 28.1 13,583

Sex

Female 34.5 6,262
Male 32.2 7,320

Race/Ethnicity

Asian/Pacific Islander 16.9 2,604
Black 0.0 64
Hispanic 28.2 2,698
White 15.5 7,852

Age

0-14 years 36.7 2,449
15-24 years 40.8 1,616
25-34 years 25.0 2,038
35-44 years 36.3 1,627
45-54 years 19.2 2,446
55-64 years 14.9 1,815
65-74 years 31.1 676
75+ years 23.3 901
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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.