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 1019900 Average

31.3

Averages

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76.0 City-Wide
65.8 Manhattan
31.3 Tract

Census Tract 1019900

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Injury ER Visit Rate Population (2011-2013)
All 31.3 29,790

Sex

Female 28.7 17,571
Male 49.4 12,218

Race/Ethnicity

Asian/Pacific Islander 5.1 5,911
Black 171.1 1,636
Hispanic 98.9 3,559
White 13.4 17,347

Age

0-14 years 74.9 2,297
15-24 years 16.9 9,222
25-34 years 24.9 6,787
35-44 years 44.5 2,628
45-54 years 47.1 2,550
55-64 years 46.0 1,935
65-74 years 30.2 1,753
75+ years 21.5 2,608
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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.