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 3049300 Average

180.2

Averages

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76.0 City-Wide
82.9 Brooklyn
180.2 Tract

Census Tract 3049300

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Injury ER Visit Rate Population (2011-2013)
All 180.2 23,154

Sex

Female 174.9 12,644
Male 258.7 10,509

Race/Ethnicity

Asian/Pacific Islander 309.8 397
Black 515.5 2,964
Hispanic 87.0 16,072
White 270.4 3,498

Age

0-14 years 202.1 4,240
15-24 years 180.7 3,619
25-34 years 142.4 5,048
35-44 years 181.3 3,210
45-54 years 215.2 2,672
55-64 years 192.0 2,068
65-74 years 126.9 1,616
75+ years 290.0 631
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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.