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 3021500 Average

67.2

Averages

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76.0 City-Wide
82.9 Brooklyn
67.2 Tract

Census Tract 3021500

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Injury ER Visit Rate Population (2011-2013)
All 67.2 15,840

Sex

Female 63.0 8,796
Male 96.0 7,039

Race/Ethnicity

Asian/Pacific Islander 40.3 1,042
Black 97.4 5,227
Hispanic 92.4 2,250
White 46.4 6,643

Age

0-14 years 96.3 2,357
15-24 years 103.3 1,501
25-34 years 49.5 3,918
35-44 years 47.0 2,701
45-54 years 62.2 2,410
55-64 years 65.9 1,579
65-74 years 42.6 1,081
75+ years 243.1 255
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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.