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 1012800 Average

49.6

Averages

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76.0 City-Wide
65.8 Manhattan
49.6 Tract

Census Tract 1012800

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Injury ER Visit Rate Population (2011-2013)
All 49.6 17,778

Sex

Female 54.1 9,260
Male 63.2 8,517

Race/Ethnicity

Asian/Pacific Islander 68.5 321
Black 0.0 10
Hispanic 157.9 855
White 29.8 16,461

Age

0-14 years 66.8 2,394
15-24 years 115.1 843
25-34 years 124.1 1,338
35-44 years 54.4 2,297
45-54 years 36.8 2,827
55-64 years 34.9 2,835
65-74 years 28.3 2,966
75+ years 20.8 2,263
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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.