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 1004200 Average

27.9

Averages

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76.0 City-Wide
65.8 Manhattan
27.9 Tract

Census Tract 1004200

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Injury ER Visit Rate Population (2011-2013)
All 27.9 13,818

Sex

Female 30.7 7,699
Male 38.0 6,102

Race/Ethnicity

Asian/Pacific Islander 8.1 2,599
Black 132.5 483
Hispanic 120.4 731
White 21.1 9,222

Age

0-14 years 127.2 448
15-24 years 9.8 6,112
25-34 years 19.0 3,110
35-44 years 35.4 1,555
45-54 years 59.0 1,203
55-64 years 45.9 894
65-74 years 71.4 196
75+ years 100.0 280
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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.