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 4032900 Average

61.9

Averages

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76.0 City-Wide
51.9 Queens
61.9 Tract

Census Tract 4032900

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Injury ER Visit Rate Population (2011-2013)
All 61.9 14,997

Sex

Female 57.3 7,872
Male 90.3 7,119

Race/Ethnicity

Asian/Pacific Islander 35.8 3,438
Black 231.8 604
Hispanic 45.7 8,782
White 131.2 2,012

Age

0-14 years 70.7 2,940
15-24 years 63.9 2,490
25-34 years 58.5 2,634
35-44 years 67.0 1,881
45-54 years 49.5 2,405
55-64 years 51.7 1,296
65-74 years 73.6 639
75+ years 70.0 700
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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.