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 4023000 Average

41.1

Averages

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76.0 City-Wide
51.9 Queens
41.1 Tract

Census Tract 4023000

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Injury ER Visit Rate Population (2011-2013)
All 41.1 6,348

Sex

Female 44.2 3,120
Male 51.2 3,223

Race/Ethnicity

Asian/Pacific Islander 14.3 2,519
Black 218.8 448
Hispanic 35.0 1,659
White 40.9 1,661

Age

0-14 years 60.2 1,246
15-24 years 40.7 885
25-34 years 27.6 905
35-44 years 37.1 996
45-54 years 53.8 781
55-64 years 26.5 791
65-74 years 20.0 501
75+ years 63.8 235
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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.