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 3046201 Average

55.8

Averages

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76.0 City-Wide
82.9 Brooklyn
55.8 Tract

Census Tract 3046201

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Injury ER Visit Rate Population (2011-2013)
All 55.8 7,222

Sex

Female 49.6 3,888
Male 80.7 3,334

Race/Ethnicity

Asian/Pacific Islander 46.0 826
Black 0.0 0
Hispanic 123.5 591
White 41.1 5,690

Age

0-14 years 101.5 1,123
15-24 years 32.5 1,478
25-34 years 74.5 819
35-44 years 49.7 966
45-54 years 60.3 696
55-64 years 49.3 873
65-74 years 42.3 496
75+ years 33.9 767
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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.