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 3033000 Average

219.6

Averages

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76.0 City-Wide
82.9 Brooklyn
219.6 Tract

Census Tract 3033000

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Injury ER Visit Rate Population (2011-2013)
All 219.6 12,206

Sex

Female 195.8 6,997
Male 320.4 5,209

Race/Ethnicity

Asian/Pacific Islander 288.6 731
Black 132.0 5,484
Hispanic 104.5 3,025
White 516.2 2,927

Age

0-14 years 247.7 2,212
15-24 years 229.7 1,911
25-34 years 461.8 916
35-44 years 236.6 1,310
45-54 years 179.6 1,843
55-64 years 178.1 1,791
65-74 years 86.0 1,524
75+ years 260.9 690
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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.