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 3029000 Average

48.1

Averages

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76.0 City-Wide
82.9 Brooklyn
48.1 Tract

Census Tract 3029000

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Injury ER Visit Rate Population (2011-2013)
All 48.1 11,102

Sex

Female 45.7 5,843
Male 65.1 5,257

Race/Ethnicity

Asian/Pacific Islander 27.0 2,115
Black 935.2 108
Hispanic 83.3 1,417
White 39.8 7,294

Age

0-14 years 62.0 1,888
15-24 years 45.7 1,663
25-34 years 46.7 1,650
35-44 years 67.9 1,119
45-54 years 62.6 1,071
55-64 years 31.3 1,564
65-74 years 24.8 1,171
75+ years 46.2 931
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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.