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 4014000 Average

48.2

Averages

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76.0 City-Wide
51.9 Queens
48.2 Tract

Census Tract 4014000

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Injury ER Visit Rate Population (2011-2013)
All 48.2 10,899

Sex

Female 44.5 5,641
Male 61.3 5,256

Race/Ethnicity

Asian/Pacific Islander 19.6 3,060
Black 432.6 393
Hispanic 52.7 2,866
White 18.9 4,553

Age

0-14 years 48.3 2,196
15-24 years 59.1 1,456
25-34 years 36.3 2,232
35-44 years 55.4 1,282
45-54 years 46.6 1,523
55-64 years 50.3 975
65-74 years 35.7 673
75+ years 67.3 550
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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.