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 3015900 Average

36.5

Averages

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76.0 City-Wide
82.9 Brooklyn
36.5 Tract

Census Tract 3015900

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Injury ER Visit Rate Population (2011-2013)
All 36.5 17,388

Sex

Female 41.9 8,337
Male 39.0 9,048

Race/Ethnicity

Asian/Pacific Islander 23.3 729
Black 103.4 1,993
Hispanic 122.3 1,079
White 19.6 12,143

Age

0-14 years 46.1 2,797
15-24 years 113.4 785
25-34 years 32.2 3,382
35-44 years 18.0 4,338
45-54 years 47.5 1,726
55-64 years 32.2 2,578
65-74 years 24.8 1,414
75+ years 92.1 315
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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.