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 4145900 Average

27.5

Averages

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76.0 City-Wide
51.9 Queens
27.5 Tract

Census Tract 4145900

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Injury ER Visit Rate Population (2011-2013)
All 27.5 8,597

Sex

Female 26.9 4,195
Male 33.4 4,401

Race/Ethnicity

Asian/Pacific Islander 11.1 3,342
Black 0.0 9
Hispanic 61.5 895
White 13.1 4,272

Age

0-14 years 50.7 946
15-24 years 32.0 905
25-34 years 37.4 1,150
35-44 years 21.1 1,329
45-54 years 27.2 1,141
55-64 years 14.9 1,747
65-74 years 13.1 689
75+ years 33.7 652
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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.