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 1007000 Average

31.2

Averages

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76.0 City-Wide
65.8 Manhattan
31.2 Tract

Census Tract 1007000

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Injury ER Visit Rate Population (2011-2013)
All 31.2 25,998

Sex

Female 27.9 13,648
Male 43.7 12,341

Race/Ethnicity

Asian/Pacific Islander 12.1 3,978
Black 312.8 486
Hispanic 140.5 1,160
White 17.3 19,859

Age

0-14 years 86.7 1,650
15-24 years 26.2 3,628
25-34 years 15.3 9,735
35-44 years 39.8 2,641
45-54 years 41.5 2,481
55-64 years 52.4 2,062
65-74 years 22.8 2,234
75+ years 36.5 1,535
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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.