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 2027900 Average

60.8

Averages

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76.0 City-Wide
103.2 Bronx
60.8 Tract

Census Tract 2027900

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Injury ER Visit Rate Population (2011-2013)
All 60.8 21,715

Sex

Female 60.9 11,349
Male 76.8 10,363

Race/Ethnicity

Asian/Pacific Islander 46.1 824
Black 100.6 3,371
Hispanic 48.6 12,419
White 45.6 4,340

Age

0-14 years 111.0 2,776
15-24 years 72.6 2,935
25-34 years 59.1 3,606
35-44 years 45.8 2,967
45-54 years 50.0 3,637
55-64 years 59.6 2,181
65-74 years 30.9 1,879
75+ years 47.5 1,704
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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.