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 1002201 Average

92.5

Averages

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76.0 City-Wide
65.8 Manhattan
92.5 Tract

Census Tract 1002201

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Injury ER Visit Rate Population (2011-2013)
All 92.5 19,922

Sex

Female 82.9 10,874
Male 141.8 9,048

Race/Ethnicity

Asian/Pacific Islander 22.5 5,732
Black 160.6 2,298
Hispanic 67.9 7,729
White 263.8 3,184

Age

0-14 years 127.0 2,283
15-24 years 108.4 2,427
25-34 years 83.6 4,751
35-44 years 108.5 2,388
45-54 years 131.5 2,106
55-64 years 56.9 2,968
65-74 years 64.0 1,407
75+ years 62.3 1,574
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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.