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 3020100 Average

45.2

Averages

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76.0 City-Wide
82.9 Brooklyn
45.2 Tract

Census Tract 3020100

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Injury ER Visit Rate Population (2011-2013)
All 45.2 10,339

Sex

Female 42.1 5,799
Male 63.5 4,537

Race/Ethnicity

Asian/Pacific Islander 91.5 306
Black 45.6 4,689
Hispanic 116.0 871
White 29.0 4,003

Age

0-14 years 78.5 1,300
15-24 years 95.0 800
25-34 years 29.6 2,978
35-44 years 25.8 2,131
45-54 years 45.9 1,221
55-64 years 42.5 871
65-74 years 41.7 744
75+ years 78.0 282
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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.