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 3029500 Average

64.2

Averages

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76.0 City-Wide
82.9 Brooklyn
64.2 Tract

Census Tract 3029500

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Injury ER Visit Rate Population (2011-2013)
All 64.2 11,060

Sex

Female 59.8 6,572
Male 100.9 4,488

Race/Ethnicity

Asian/Pacific Islander 44.9 445
Black 49.3 8,343
Hispanic 111.3 1,339
White 247.8 779

Age

0-14 years 96.5 1,782
15-24 years 119.5 887
25-34 years 56.8 2,147
35-44 years 43.3 2,150
45-54 years 43.5 2,094
55-64 years 74.0 851
65-74 years 42.9 723
75+ years 77.1 415
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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.