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 4054700 Average

79.4

Averages

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76.0 City-Wide
51.9 Queens
79.4 Tract

Census Tract 4054700

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Injury ER Visit Rate Population (2011-2013)
All 79.4 13,777

Sex

Female 91.3 6,757
Male 103.7 7,020

Race/Ethnicity

Asian/Pacific Islander 32.2 2,081
Black 0.0 276
Hispanic 39.8 9,844
White 125.0 1,480

Age

0-14 years 76.0 3,170
15-24 years 92.7 2,125
25-34 years 68.0 2,587
35-44 years 53.6 2,666
45-54 years 76.4 1,689
55-64 years 136.7 863
65-74 years 107.2 373
75+ years 171.8 291
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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.