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 1025500 Average

62.2

Averages

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76.0 City-Wide
65.8 Manhattan
62.2 Tract

Census Tract 1025500

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Injury ER Visit Rate Population (2011-2013)
All 62.2 17,022

Sex

Female 70.4 8,798
Male 80.7 8,215

Race/Ethnicity

Asian/Pacific Islander 6.9 2,024
Black 196.1 831
Hispanic 56.5 8,052
White 25.7 5,717

Age

0-14 years 136.7 1,924
15-24 years 49.3 2,982
25-34 years 31.5 5,276
35-44 years 64.9 1,633
45-54 years 56.1 2,176
55-64 years 63.9 1,564
65-74 years 135.4 650
75+ years 85.2 775
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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.