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 1007200 Average

30.3

Averages

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76.0 City-Wide
65.8 Manhattan
30.3 Tract

Census Tract 1007200

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Injury ER Visit Rate Population (2011-2013)
All 30.3 24,547

Sex

Female 27.9 13,255
Male 40.8 11,286

Race/Ethnicity

Asian/Pacific Islander 19.7 3,548
Black 358.0 433
Hispanic 90.0 1,645
White 18.3 18,394

Age

0-14 years 61.3 1,746
15-24 years 19.7 4,677
25-34 years 18.5 8,692
35-44 years 25.2 3,767
45-54 years 40.9 2,570
55-64 years 78.7 1,182
65-74 years 32.3 1,116
75+ years 68.6 787
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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.