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 3049700 Average

28.0

Averages

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76.0 City-Wide
82.9 Brooklyn
28.0 Tract

Census Tract 3049700

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Injury ER Visit Rate Population (2011-2013)
All 28.0 8,149

Sex

Female 26.1 4,412
Male 44.7 3,736

Race/Ethnicity

Asian/Pacific Islander 13.8 580
Black 0.0 15
Hispanic 73.0 671
White 13.3 6,636

Age

0-14 years 174.5 298
15-24 years 41.7 935
25-34 years 11.2 3,391
35-44 years 11.8 1,355
45-54 years 42.8 795
55-64 years 55.2 362
65-74 years 37.6 399
75+ years 23.1 605
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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.