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 3020600 Average

46.1

Averages

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76.0 City-Wide
82.9 Brooklyn
46.1 Tract

Census Tract 3020600

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Injury ER Visit Rate Population (2011-2013)
All 46.1 7,184

Sex

Female 56.5 3,292
Male 54.7 3,892

Race/Ethnicity

Asian/Pacific Islander 9.8 2,356
Black 0.0 38
Hispanic 371.2 264
White 32.6 4,480

Age

0-14 years 85.0 1,165
15-24 years 48.7 821
25-34 years 50.5 1,129
35-44 years 33.7 978
45-54 years 47.8 816
55-64 years 38.2 994
65-74 years 11.7 943
75+ years 44.7 313
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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.