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 1004100 Average

21.8

Averages

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76.0 City-Wide
65.8 Manhattan
21.8 Tract

Census Tract 1004100

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Injury ER Visit Rate Population (2011-2013)
All 21.8 23,030

Sex

Female 24.1 11,954
Male 33.3 11,061

Race/Ethnicity

Asian/Pacific Islander 3.5 14,968
Black 384.9 265
Hispanic 185.7 824
White 35.7 6,640

Age

0-14 years 44.9 2,362
15-24 years 17.9 3,525
25-34 years 17.8 5,224
35-44 years 26.3 2,356
45-54 years 26.6 2,561
55-64 years 21.6 2,778
65-74 years 8.2 2,077
75+ years 15.0 2,139
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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.