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 4046000 Average

78.1

Averages

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76.0 City-Wide
51.9 Queens
78.1 Tract

Census Tract 4046000

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Injury ER Visit Rate Population (2011-2013)
All 78.1 17,583

Sex

Female 83.0 9,174
Male 104.3 8,409

Race/Ethnicity

Asian/Pacific Islander 28.7 6,340
Black 186.9 3,098
Hispanic 45.9 6,717
White 0.0 232

Age

0-14 years 100.5 3,830
15-24 years 117.4 1,882
25-34 years 63.4 2,964
35-44 years 42.0 3,405
45-54 years 87.8 2,165
55-64 years 67.2 1,846
65-74 years 75.3 757
75+ years 92.3 704
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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.