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 1017900 Average

45.8

Averages

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76.0 City-Wide
65.8 Manhattan
45.8 Tract

Census Tract 1017900

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Injury ER Visit Rate Population (2011-2013)
All 45.8 27,110

Sex

Female 44.4 13,842
Male 58.8 13,268

Race/Ethnicity

Asian/Pacific Islander 18.9 1,694
Black 186.2 1,638
Hispanic 153.2 2,578
White 17.1 20,661

Age

0-14 years 52.1 3,567
15-24 years 80.8 1,969
25-34 years 41.7 5,396
35-44 years 38.6 4,300
45-54 years 35.3 4,506
55-64 years 47.3 3,719
65-74 years 47.3 1,880
75+ years 46.9 1,747
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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.