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 4079000 Average

71.2

Averages

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76.0 City-Wide
51.9 Queens
71.2 Tract

Census Tract 4079000

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Injury ER Visit Rate Population (2011-2013)
All 71.2 6,991

Sex

Female 59.6 3,693
Male 100.4 3,298

Race/Ethnicity

Asian/Pacific Islander 109.3 439
Black 36.8 5,055
Hispanic 206.7 687
White 0.0 66

Age

0-14 years 93.3 1,425
15-24 years 73.0 973
25-34 years 89.0 933
35-44 years 51.8 1,003
45-54 years 69.4 1,066
55-64 years 73.2 724
65-74 years 25.3 593
75+ years 65.1 261
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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.