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 4014700 Average

58.4

Averages

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76.0 City-Wide
51.9 Queens
58.4 Tract

Census Tract 4014700

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Injury ER Visit Rate Population (2011-2013)
All 58.4 8,391

Sex

Female 55.4 4,386
Male 74.7 4,005

Race/Ethnicity

Asian/Pacific Islander 136.5 498
Black 0.0 74
Hispanic 86.5 1,630
White 25.2 5,941

Age

0-14 years 106.1 952
15-24 years 116.6 626
25-34 years 48.1 1,828
35-44 years 27.2 1,946
45-54 years 61.3 1,061
55-64 years 74.0 676
65-74 years 53.6 429
75+ years 43.5 850
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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.