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 4002800 Average

65.0

Averages

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76.0 City-Wide
51.9 Queens
65.0 Tract

Census Tract 4002800

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Injury ER Visit Rate Population (2011-2013)
All 65.0 9,460

Sex

Female 73.0 4,767
Male 76.3 4,693

Race/Ethnicity

Asian/Pacific Islander 35.5 1,720
Black 234.6 895
Hispanic 38.6 4,741
White 81.2 1,429

Age

0-14 years 78.2 1,817
15-24 years 54.0 1,796
25-34 years 71.3 1,402
35-44 years 63.7 1,099
45-54 years 61.2 1,307
55-64 years 53.3 1,257
65-74 years 46.1 607
75+ years 209.5 148
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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.