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 1018100 Average

43.7

Averages

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76.0 City-Wide
65.8 Manhattan
43.7 Tract

Census Tract 1018100

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Injury ER Visit Rate Population (2011-2013)
All 43.7 26,892

Sex

Female 40.0 15,741
Male 67.5 11,150

Race/Ethnicity

Asian/Pacific Islander 15.0 2,065
Black 69.5 4,315
Hispanic 93.0 4,173
White 24.7 15,680

Age

0-14 years 65.3 3,187
15-24 years 71.4 2,423
25-34 years 37.7 5,657
35-44 years 45.8 3,406
45-54 years 62.9 2,622
55-64 years 27.6 4,388
65-74 years 20.4 3,184
75+ years 36.4 2,008
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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.