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 1003002 Average

71.1

Averages

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76.0 City-Wide
65.8 Manhattan
71.1 Tract

Census Tract 1003002

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Injury ER Visit Rate Population (2011-2013)
All 71.1 9,072

Sex

Female 78.3 4,750
Male 95.1 4,312

Race/Ethnicity

Asian/Pacific Islander 39.8 1,282
Black 202.2 712
Hispanic 80.9 2,115
White 64.9 4,870

Age

0-14 years 131.9 637
15-24 years 116.5 798
25-34 years 55.2 2,462
35-44 years 61.1 1,652
45-54 years 72.9 1,070
55-64 years 69.6 1,034
65-74 years 49.5 828
75+ years 70.1 571
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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.