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 3006400 Average

50.8

Averages

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76.0 City-Wide
82.9 Brooklyn
50.8 Tract

Census Tract 3006400

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Injury ER Visit Rate Population (2011-2013)
All 50.8 11,867

Sex

Female 48.5 6,108
Male 67.0 5,758

Race/Ethnicity

Asian/Pacific Islander 22.8 1,978
Black 0.0 25
Hispanic 103.3 1,394
White 35.3 7,705

Age

0-14 years 80.4 1,854
15-24 years 62.1 1,384
25-34 years 57.7 1,854
35-44 years 44.3 1,514
45-54 years 44.5 1,729
55-64 years 22.5 2,086
65-74 years 38.1 867
75+ years 66.8 554
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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.