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 1014900 Average

28.0

Averages

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76.0 City-Wide
65.8 Manhattan
28.0 Tract

Census Tract 1014900

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Injury ER Visit Rate Population (2011-2013)
All 28.0 16,562

Sex

Female 27.1 9,029
Male 42.8 7,531

Race/Ethnicity

Asian/Pacific Islander 10.4 1,737
Black 242.4 396
Hispanic 100.1 1,029
White 14.7 13,021

Age

0-14 years 44.3 1,672
15-24 years 47.8 1,611
25-34 years 32.9 2,526
35-44 years 20.9 2,730
45-54 years 26.7 1,801
55-64 years 24.3 2,391
65-74 years 17.5 1,944
75+ years 17.1 1,870
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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.