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 4041300 Average

84.4

Averages

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76.0 City-Wide
51.9 Queens
84.4 Tract

Census Tract 4041300

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Injury ER Visit Rate Population (2011-2013)
All 84.4 13,531

Sex

Female 82.5 6,729
Male 111.3 6,801

Race/Ethnicity

Asian/Pacific Islander 69.3 3,088
Black 0.0 0
Hispanic 50.4 9,426
White 242.9 988

Age

0-14 years 84.8 3,162
15-24 years 95.3 1,867
25-34 years 55.7 2,911
35-44 years 73.2 2,321
45-54 years 117.5 1,234
55-64 years 81.9 1,258
65-74 years 193.6 346
75+ years 118.4 414
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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.