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 4088901 Average

52.7

Averages

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76.0 City-Wide
51.9 Queens
52.7 Tract

Census Tract 4088901

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Injury ER Visit Rate Population (2011-2013)
All 52.7 29,051

Sex

Female 45.8 15,513
Male 70.9 13,538

Race/Ethnicity

Asian/Pacific Islander 12.9 15,876
Black 263.6 1,309
Hispanic 108.9 4,259
White 62.7 6,989

Age

0-14 years 92.3 3,642
15-24 years 100.9 2,350
25-34 years 85.0 2,930
35-44 years 34.9 5,128
45-54 years 41.9 4,372
55-64 years 32.6 4,731
65-74 years 32.3 2,600
75+ years 33.7 3,266
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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.