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 3022000 Average

50.9

Averages

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76.0 City-Wide
82.9 Brooklyn
50.9 Tract

Census Tract 3022000

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Injury ER Visit Rate Population (2011-2013)
All 50.9 14,758

Sex

Female 51.8 6,975
Male 60.9 7,781

Race/Ethnicity

Asian/Pacific Islander 45.1 1,465
Black 0.0 12
Hispanic 191.1 1,052
White 29.7 12,219

Age

0-14 years 38.9 5,249
15-24 years 38.5 2,909
25-34 years 73.0 1,644
35-44 years 50.9 1,630
45-54 years 74.4 1,008
55-64 years 53.4 1,068
65-74 years 91.6 491
75+ years 73.6 747
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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.