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 3026600 Average

52.9

Averages

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76.0 City-Wide
82.9 Brooklyn
52.9 Tract

Census Tract 3026600

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Injury ER Visit Rate Population (2011-2013)
All 52.9 10,478

Sex

Female 44.6 5,870
Male 85.5 4,608

Race/Ethnicity

Asian/Pacific Islander 9.4 3,934
Black 0.0 41
Hispanic 187.1 743
White 51.1 5,503

Age

0-14 years 98.9 1,486
15-24 years 62.2 1,271
25-34 years 58.7 1,585
35-44 years 40.1 1,498
45-54 years 32.5 1,815
55-64 years 38.8 1,367
65-74 years 36.6 848
75+ years 53.5 598
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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.