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 3044300 Average

105.4

Averages

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76.0 City-Wide
82.9 Brooklyn
105.4 Tract

Census Tract 3044300

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Injury ER Visit Rate Population (2011-2013)
All 105.4 19,084

Sex

Female 111.8 9,259
Male 137.4 9,816

Race/Ethnicity

Asian/Pacific Islander 34.9 1,891
Black 0.0 190
Hispanic 64.8 14,000
White 131.0 2,833

Age

0-14 years 108.9 4,170
15-24 years 79.1 3,996
25-34 years 90.2 3,748
35-44 years 92.2 3,102
45-54 years 115.7 2,333
55-64 years 249.4 774
65-74 years 161.9 562
75+ years 168.4 380
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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.