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 4051500 Average

32.0

Averages

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76.0 City-Wide
51.9 Queens
32.0 Tract

Census Tract 4051500

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Injury ER Visit Rate Population (2011-2013)
All 32.0 7,747

Sex

Female 37.5 3,704
Male 38.6 4,042

Race/Ethnicity

Asian/Pacific Islander 44.8 580
Black 0.0 52
Hispanic 66.3 1,207
White 13.9 5,836

Age

0-14 years 55.0 1,200
15-24 years 48.7 637
25-34 years 26.2 993
35-44 years 27.1 1,142
45-54 years 32.5 1,138
55-64 years 19.6 1,174
65-74 years 33.3 631
75+ years 15.9 817
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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.