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 4013600 Average

41.1

Averages

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76.0 City-Wide
51.9 Queens
41.1 Tract

Census Tract 4013600

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Injury ER Visit Rate Population (2011-2013)
All 41.1 5,546

Sex

Female 40.5 3,163
Male 62.5 2,383

Race/Ethnicity

Asian/Pacific Islander 34.4 697
Black 190.6 320
Hispanic 40.2 1,615
White 27.4 2,848

Age

0-14 years 103.4 551
15-24 years 48.2 747
25-34 years 35.6 1,066
35-44 years 33.4 749
45-54 years 59.2 574
55-64 years 24.0 625
65-74 years 19.4 721
75+ years 17.9 504
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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.