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 3011700 Average

59.8

Averages

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76.0 City-Wide
82.9 Brooklyn
59.8 Tract

Census Tract 3011700

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Injury ER Visit Rate Population (2011-2013)
All 59.8 7,732

Sex

Female 59.3 3,661
Male 69.8 4,071

Race/Ethnicity

Asian/Pacific Islander 31.6 886
Black 668.8 154
Hispanic 49.8 2,268
White 43.7 4,161

Age

0-14 years 182.8 580
15-24 years 75.3 691
25-34 years 27.1 3,103
35-44 years 56.5 1,132
45-54 years 86.6 762
55-64 years 83.2 625
65-74 years 44.7 403
75+ years 48.0 417
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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.