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 4084601 Average

37.0

Averages

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76.0 City-Wide
51.9 Queens
37.0 Tract

Census Tract 4084601

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Injury ER Visit Rate Population (2011-2013)
All 37.0 9,474

Sex

Female 39.5 4,526
Male 45.3 4,948

Race/Ethnicity

Asian/Pacific Islander 20.9 1,961
Black 239.2 556
Hispanic 39.3 1,936
White 28.5 2,985

Age

0-14 years 56.3 1,510
15-24 years 49.8 1,205
25-34 years 34.8 1,349
35-44 years 40.4 1,039
45-54 years 26.8 1,495
55-64 years 29.5 1,591
65-74 years 23.3 773
75+ years 23.9 503
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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.