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 4065600 Average

43.1

Averages

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76.0 City-Wide
51.9 Queens
43.1 Tract

Census Tract 4065600

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Injury ER Visit Rate Population (2011-2013)
All 43.1 15,095

Sex

Female 39.6 8,229
Male 63.4 6,865

Race/Ethnicity

Asian/Pacific Islander 149.4 462
Black 19.2 13,159
Hispanic 373.7 479
White 172.1 825

Age

0-14 years 51.1 3,250
15-24 years 39.6 2,579
25-34 years 43.2 2,085
35-44 years 42.6 1,692
45-54 years 32.4 2,653
55-64 years 42.8 1,566
65-74 years 40.7 738
75+ years 73.7 502
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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.