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 1025700 Average

76.2

Averages

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76.0 City-Wide
65.8 Manhattan
76.2 Tract

Census Tract 1025700

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Injury ER Visit Rate Population (2011-2013)
All 76.2 12,881

Sex

Female 81.2 7,110
Male 104.5 5,772

Race/Ethnicity

Asian/Pacific Islander 27.4 804
Black 55.3 6,578
Hispanic 142.3 2,263
White 81.7 2,877

Age

0-14 years 76.2 2,611
15-24 years 75.3 1,858
25-34 years 63.7 2,560
35-44 years 60.4 1,921
45-54 years 94.7 1,594
55-64 years 71.5 1,510
65-74 years 165.8 374
75+ years 96.1 437
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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.