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 3111000 Average

172.2

Averages

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76.0 City-Wide
82.9 Brooklyn
172.2 Tract

Census Tract 3111000

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Injury ER Visit Rate Population (2011-2013)
All 172.2 9,973

Sex

Female 148.1 6,406
Male 282.6 3,567

Race/Ethnicity

Asian/Pacific Islander 0.0 0
Black 145.3 7,344
Hispanic 169.0 2,331
White 0.0 100

Age

0-14 years 147.5 2,502
15-24 years 191.9 1,480
25-34 years 208.5 1,439
35-44 years 232.7 1,010
45-54 years 204.6 1,095
55-64 years 125.9 1,311
65-74 years 100.8 714
75+ years 166.7 408
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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.