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 4077300 Average

29.9

Averages

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76.0 City-Wide
51.9 Queens
29.9 Tract

Census Tract 4077300

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Injury ER Visit Rate Population (2011-2013)
All 29.9 6,792

Sex

Female 28.2 3,475
Male 43.8 3,314

Race/Ethnicity

Asian/Pacific Islander 28.8 763
Black 138.2 427
Hispanic 92.0 652
White 18.8 4,626

Age

0-14 years 73.1 793
15-24 years 43.3 670
25-34 years 26.5 1,396
35-44 years 24.6 1,017
45-54 years 21.4 793
55-64 years 15.9 1,194
65-74 years 26.1 421
75+ years 14.1 497
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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.