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 1008000 Average

28.9

Averages

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76.0 City-Wide
65.8 Manhattan
28.9 Tract

Census Tract 1008000

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Injury ER Visit Rate Population (2011-2013)
All 28.9 14,931

Sex

Female 30.7 8,463
Male 37.1 6,468

Race/Ethnicity

Asian/Pacific Islander 14.7 1,699
Black 332.1 274
Hispanic 78.3 1,252
White 13.6 11,584

Age

0-14 years 51.0 1,254
15-24 years 37.6 1,358
25-34 years 19.1 3,873
35-44 years 34.3 1,576
45-54 years 33.2 2,111
55-64 years 29.0 1,898
65-74 years 24.4 1,473
75+ years 20.6 1,360
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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.