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 4162100 Average

29.8

Averages

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76.0 City-Wide
51.9 Queens
29.8 Tract

Census Tract 4162100

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Injury ER Visit Rate Population (2011-2013)
All 29.8 20,390

Sex

Female 30.0 10,670
Male 37.8 9,715

Race/Ethnicity

Asian/Pacific Islander 7.9 8,247
Black 134.6 1,523
Hispanic 26.1 5,129
White 43.1 4,294

Age

0-14 years 29.4 3,676
15-24 years 29.2 3,251
25-34 years 37.8 2,671
35-44 years 40.9 2,151
45-54 years 25.0 3,639
55-64 years 21.8 2,620
65-74 years 21.9 1,279
75+ years 35.9 1,086
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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.