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 1023900 Average

116.2

Averages

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76.0 City-Wide
65.8 Manhattan
116.2 Tract

Census Tract 1023900

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Injury ER Visit Rate Population (2011-2013)
All 116.2 7,033

Sex

Female 132.0 3,529
Male 149.8 3,504

Race/Ethnicity

Asian/Pacific Islander 0.0 0
Black 52.9 2,780
Hispanic 112.9 3,358
White 196.9 655

Age

0-14 years 177.2 1,044
15-24 years 141.6 946
25-34 years 85.1 1,563
35-44 years 137.0 730
45-54 years 91.1 955
55-64 years 95.5 859
65-74 years 119.7 468
75+ years 87.7 456
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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.