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 3096600 Average

72.3

Averages

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76.0 City-Wide
82.9 Brooklyn
72.3 Tract

Census Tract 3096600

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Injury ER Visit Rate Population (2011-2013)
All 72.3 7,180

Sex

Female 63.0 3,840
Male 103.0 3,340

Race/Ethnicity

Asian/Pacific Islander 0.0 52
Black 66.7 4,811
Hispanic 93.6 1,058
White 156.8 644

Age

0-14 years 74.9 1,349
15-24 years 57.1 1,401
25-34 years 81.1 1,073
35-44 years 58.2 877
45-54 years 53.8 1,412
55-64 years 118.0 568
65-74 years 122.4 294
75+ years 106.1 198
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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.