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 2006100 Average

62.9

Averages

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76.0 City-Wide
103.2 Bronx
62.9 Tract

Census Tract 2006100

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Injury ER Visit Rate Population (2011-2013)
All 62.9 10,850

Sex

Female 55.0 6,453
Male 106.0 4,397

Race/Ethnicity

Asian/Pacific Islander 0.0 0
Black 24.8 8,864
Hispanic 183.1 1,551
White 534.0 206

Age

0-14 years 116.9 1,215
15-24 years 69.5 1,668
25-34 years 180.2 777
35-44 years 84.9 1,084
45-54 years 45.9 1,459
55-64 years 38.7 1,497
65-74 years 19.7 1,778
75+ years 23.5 1,359
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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.