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 3077000 Average

87.7

Averages

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76.0 City-Wide
82.9 Brooklyn
87.7 Tract

Census Tract 3077000

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Injury ER Visit Rate Population (2011-2013)
All 87.7 8,085

Sex

Female 80.1 4,334
Male 124.5 3,750

Race/Ethnicity

Asian/Pacific Islander 89.0 337
Black 61.9 6,061
Hispanic 192.2 640
White 221.7 902

Age

0-14 years 90.6 1,666
15-24 years 104.2 1,046
25-34 years 89.7 1,148
35-44 years 96.4 1,069
45-54 years 64.6 1,425
55-64 years 86.9 955
65-74 years 58.5 632
75+ years 246.0 126
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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.