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 3049800 Average

58.2

Averages

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76.0 City-Wide
82.9 Brooklyn
58.2 Tract

Census Tract 3049800

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Injury ER Visit Rate Population (2011-2013)
All 58.2 13,230

Sex

Female 56.1 6,879
Male 77.4 6,346

Race/Ethnicity

Asian/Pacific Islander 12.0 5,185
Black 384.2 406
Hispanic 258.9 703
White 59.4 6,444

Age

0-14 years 91.7 2,518
15-24 years 60.4 1,756
25-34 years 45.1 2,838
35-44 years 50.6 1,699
45-54 years 45.3 1,699
55-64 years 43.3 1,364
65-74 years 69.8 559
75+ years 55.7 790
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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.