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 4075702 Average

27.2

Averages

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76.0 City-Wide
51.9 Queens
27.2 Tract

Census Tract 4075702

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Injury ER Visit Rate Population (2011-2013)
All 27.2 13,942

Sex

Female 24.0 7,666
Male 38.6 6,275

Race/Ethnicity

Asian/Pacific Islander 14.3 3,139
Black 79.6 879
Hispanic 59.4 1,633
White 19.0 8,227

Age

0-14 years 40.5 2,072
15-24 years 114.1 526
25-34 years 26.3 2,019
35-44 years 20.2 2,225
45-54 years 28.2 1,806
55-64 years 21.8 1,603
65-74 years 22.6 974
75+ years 10.7 2,702
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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.