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 4069702 Average

24.8

Averages

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76.0 City-Wide
51.9 Queens
24.8 Tract

Census Tract 4069702

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Injury ER Visit Rate Population (2011-2013)
All 24.8 11,878

Sex

Female 24.3 6,061
Male 30.9 5,817

Race/Ethnicity

Asian/Pacific Islander 5.3 3,945
Black 0.0 93
Hispanic 90.1 1,043
White 12.6 6,743

Age

0-14 years 39.8 1,583
15-24 years 27.4 1,423
25-34 years 30.7 1,367
35-44 years 23.9 1,672
45-54 years 24.1 1,699
55-64 years 13.7 2,341
65-74 years 15.6 900
75+ years 27.9 859
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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.