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 1002700 Average

38.8

Averages

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76.0 City-Wide
65.8 Manhattan
38.8 Tract

Census Tract 1002700

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Injury ER Visit Rate Population (2011-2013)
All 38.8 3,607

Sex

Female 37.3 2,170
Male 76.5 1,437

Race/Ethnicity

Asian/Pacific Islander 5.0 2,803
Black 0.0 16
Hispanic 0.0 78
White 138.7 613

Age

0-14 years 67.8 339
15-24 years 58.8 391
25-34 years 57.6 521
35-44 years 14.1 566
45-54 years 40.6 443
55-64 years 47.3 423
65-74 years 17.0 352
75+ years 21.2 565
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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.