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 1017401 Average

126.1

Averages

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76.0 City-Wide
65.8 Manhattan
126.1 Tract

Census Tract 1017401

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Injury ER Visit Rate Population (2011-2013)
All 126.1 14,361

Sex

Female 127.1 7,901
Male 184.4 6,459

Race/Ethnicity

Asian/Pacific Islander 40.2 1,268
Black 106.4 4,868
Hispanic 75.5 6,899
White 453.4 1,213

Age

0-14 years 168.6 2,200
15-24 years 99.0 2,698
25-34 years 174.7 1,860
35-44 years 114.6 1,762
45-54 years 134.9 1,660
55-64 years 136.7 1,653
65-74 years 102.2 978
75+ years 63.5 1,512
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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.