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 1005700 Average

32.1

Averages

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76.0 City-Wide
65.8 Manhattan
32.1 Tract

Census Tract 1005700

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Injury ER Visit Rate Population (2011-2013)
All 32.1 8,205

Sex

Female 32.3 4,244
Male 43.2 3,958

Race/Ethnicity

Asian/Pacific Islander 18.2 715
Black 421.6 102
Hispanic 187.9 314
White 17.5 6,851

Age

0-14 years 43.4 783
15-24 years 67.8 472
25-34 years 22.7 2,426
35-44 years 38.7 1,137
45-54 years 49.0 714
55-64 years 29.9 903
65-74 years 13.7 1,020
75+ years 30.4 724
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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.