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 4157903 Average

3.2

Averages

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76.0 City-Wide
51.9 Queens
3.2 Tract

Census Tract 4157903

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Injury ER Visit Rate Population (2011-2013)
All 3.2 11,458

Sex

Female 4.1 6,344
Male 3.9 5,114

Race/Ethnicity

Asian/Pacific Islander 2.5 4,366
Black 0.0 0
Hispanic 14.1 711
White 1.0 5,911

Age

0-14 years 7.3 1,239
15-24 years 4.1 1,718
25-34 years 0.7 1,350
35-44 years 2.8 1,433
45-54 years 3.5 2,016
55-64 years 2.1 1,928
65-74 years 1.2 808
75+ years 4.2 952
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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.