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 1002100 Average

20.9

Averages

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76.0 City-Wide
65.8 Manhattan
20.9 Tract

Census Tract 1002100

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Injury ER Visit Rate Population (2011-2013)
All 20.9 16,541

Sex

Female 26.6 8,152
Male 26.2 8,389

Race/Ethnicity

Asian/Pacific Islander 10.1 2,487
Black 145.8 535
Hispanic 115.2 703
White 11.9 12,329

Age

0-14 years 21.3 2,820
15-24 years 32.4 1,481
25-34 years 13.6 4,782
35-44 years 11.5 3,662
45-54 years 28.8 1,806
55-64 years 22.9 1,439
65-74 years 44.4 293
75+ years 125.5 255
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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.