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 3012801 Average

48.1

Averages

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76.0 City-Wide
82.9 Brooklyn
48.1 Tract

Census Tract 3012801

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Injury ER Visit Rate Population (2011-2013)
All 48.1 6,259

Sex

Female 45.5 3,298
Male 69.6 2,961

Race/Ethnicity

Asian/Pacific Islander 9.8 3,057
Black 0.0 67
Hispanic 128.2 671
White 46.6 2,337

Age

0-14 years 114.6 794
15-24 years 61.2 719
25-34 years 30.0 1,368
35-44 years 61.0 639
45-54 years 43.2 903
55-64 years 21.8 964
65-74 years 19.4 465
75+ years 44.0 386
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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.