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 1007900 Average

33.2

Averages

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76.0 City-Wide
65.8 Manhattan
33.2 Tract

Census Tract 1007900

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Injury ER Visit Rate Population (2011-2013)
All 33.2 13,594

Sex

Female 38.4 6,934
Male 45.2 6,642

Race/Ethnicity

Asian/Pacific Islander 30.6 816
Black 840.0 100
Hispanic 170.2 717
White 18.8 11,569

Age

0-14 years 43.0 1,836
15-24 years 185.0 346
25-34 years 28.5 3,363
35-44 years 19.5 2,463
45-54 years 43.9 1,368
55-64 years 28.3 1,696
65-74 years 20.9 1,576
75+ years 27.3 880
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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.