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 1016600 Average

96.8

Averages

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76.0 City-Wide
65.8 Manhattan
96.8 Tract

Census Tract 1016600

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Injury ER Visit Rate Population (2011-2013)
All 96.8 22,749

Sex

Female 105.9 11,415
Male 127.1 11,326

Race/Ethnicity

Asian/Pacific Islander 26.7 1,460
Black 171.7 3,680
Hispanic 69.7 12,771
White 129.6 4,583

Age

0-14 years 123.6 3,512
15-24 years 106.7 3,551
25-34 years 65.8 5,566
35-44 years 74.0 3,501
45-54 years 103.9 3,003
55-64 years 117.0 2,052
65-74 years 141.2 793
75+ years 135.3 739
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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.