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 3005000 Average

39.2

Averages

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76.0 City-Wide
82.9 Brooklyn
39.2 Tract

Census Tract 3005000

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Injury ER Visit Rate Population (2011-2013)
All 39.2 7,119

Sex

Female 39.0 3,868
Male 52.3 3,250

Race/Ethnicity

Asian/Pacific Islander 29.1 413
Black 0.0 19
Hispanic 103.7 627
White 23.7 6,045

Age

0-14 years 71.1 971
15-24 years 49.9 681
25-34 years 47.3 719
35-44 years 44.6 942
45-54 years 33.5 1,224
55-64 years 24.5 1,102
65-74 years 17.9 670
75+ years 25.3 791
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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.