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 3029400 Average

75.3

Averages

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76.0 City-Wide
82.9 Brooklyn
75.3 Tract

Census Tract 3029400

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Injury ER Visit Rate Population (2011-2013)
All 75.3 6,627

Sex

Female 65.1 3,822
Male 107.4 2,802

Race/Ethnicity

Asian/Pacific Islander 26.3 1,219
Black 168.3 416
Hispanic 171.1 672
White 59.9 4,210

Age

0-14 years 291.4 405
15-24 years 165.3 478
25-34 years 102.1 872
35-44 years 132.6 475
45-54 years 64.9 786
55-64 years 67.8 693
65-74 years 15.9 1,192
75+ years 19.5 1,696
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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.