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 4068200 Average

39.3

Averages

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76.0 City-Wide
51.9 Queens
39.3 Tract

Census Tract 4068200

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Injury ER Visit Rate Population (2011-2013)
All 39.3 3,994

Sex

Female 26.3 2,395
Male 72.0 1,597

Race/Ethnicity

Asian/Pacific Islander 0.0 35
Black 20.3 3,797
Hispanic 0.0 52
White 0.0 24

Age

0-14 years 70.1 628
15-24 years 26.0 1,038
25-34 years 64.8 293
35-44 years 30.5 591
45-54 years 34.1 558
55-64 years 27.1 553
65-74 years 39.2 153
75+ years 50.8 177
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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.