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 1005800 Average

36.3

Averages

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76.0 City-Wide
65.8 Manhattan
36.3 Tract

Census Tract 1005800

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Injury ER Visit Rate Population (2011-2013)
All 36.3 9,505

Sex

Female 36.5 4,904
Male 53.5 4,595

Race/Ethnicity

Asian/Pacific Islander 13.0 2,539
Black 427.7 166
Hispanic 194.8 462
White 28.5 6,105

Age

0-14 years 120.6 514
15-24 years 59.3 961
25-34 years 15.7 3,896
35-44 years 14.5 2,210
45-54 years 49.5 990
55-64 years 108.3 360
65-74 years 58.8 442
75+ years 186.3 102
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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.