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 3095600 Average

67.0

Averages

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76.0 City-Wide
82.9 Brooklyn
67.0 Tract

Census Tract 3095600

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Injury ER Visit Rate Population (2011-2013)
All 67.0 14,115

Sex

Female 61.5 8,150
Male 103.7 5,961

Race/Ethnicity

Asian/Pacific Islander 20.1 697
Black 54.9 11,571
Hispanic 134.4 1,213
White 373.1 469

Age

0-14 years 70.4 2,883
15-24 years 52.2 2,721
25-34 years 81.7 1,837
35-44 years 74.1 1,565
45-54 years 60.8 2,172
55-64 years 64.1 1,715
65-74 years 86.9 633
75+ years 64.6 573
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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.