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 4052100 Average

55.5

Averages

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76.0 City-Wide
51.9 Queens
55.5 Tract

Census Tract 4052100

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Injury ER Visit Rate Population (2011-2013)
All 55.5 4,398

Sex

Female 55.9 2,236
Male 73.1 2,161

Race/Ethnicity

Asian/Pacific Islander 168.7 166
Black 0.0 70
Hispanic 89.4 884
White 27.3 3,114

Age

0-14 years 91.1 505
15-24 years 67.7 620
25-34 years 70.9 663
35-44 years 40.9 562
45-54 years 32.5 1,015
55-64 years 46.0 522
65-74 years 96.8 186
75+ years 34.8 316
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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.