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 3013500 Average

40.3

Averages

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76.0 City-Wide
82.9 Brooklyn
40.3 Tract

Census Tract 3013500

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Injury ER Visit Rate Population (2011-2013)
All 40.3 10,707

Sex

Female 35.4 5,955
Male 56.0 4,747

Race/Ethnicity

Asian/Pacific Islander 20.1 596
Black 97.3 1,305
Hispanic 50.4 1,467
White 29.9 6,858

Age

0-14 years 59.7 1,908
15-24 years 60.0 1,066
25-34 years 21.5 2,514
35-44 years 24.0 2,543
45-54 years 33.3 1,293
55-64 years 61.0 901
65-74 years 55.0 400
75+ years 0.0 76
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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.