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 3029800 Average

54.6

Averages

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76.0 City-Wide
82.9 Brooklyn
54.6 Tract

Census Tract 3029800

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Injury ER Visit Rate Population (2011-2013)
All 54.6 11,298

Sex

Female 51.2 6,128
Male 76.8 5,170

Race/Ethnicity

Asian/Pacific Islander 13.7 2,851
Black 0.0 77
Hispanic 43.5 2,941
White 59.2 5,274

Age

0-14 years 63.9 2,270
15-24 years 70.7 1,302
25-34 years 51.5 1,981
35-44 years 46.1 1,520
45-54 years 51.1 1,449
55-64 years 62.7 1,052
65-74 years 30.3 990
75+ years 53.3 713
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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.