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 4049200 Average

56.1

Averages

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76.0 City-Wide
51.9 Queens
56.1 Tract

Census Tract 4049200

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Injury ER Visit Rate Population (2011-2013)
All 56.1 13,660

Sex

Female 54.9 7,864
Male 77.5 5,795

Race/Ethnicity

Asian/Pacific Islander 33.5 2,839
Black 43.5 6,833
Hispanic 82.8 1,981
White 237.0 768

Age

0-14 years 100.2 1,867
15-24 years 72.6 1,833
25-34 years 60.1 1,765
35-44 years 58.7 1,721
45-54 years 28.0 2,714
55-64 years 34.7 2,160
65-74 years 50.6 1,008
75+ years 66.3 573
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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.