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 3042400 Average

58.0

Averages

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76.0 City-Wide
82.9 Brooklyn
58.0 Tract

Census Tract 3042400

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Injury ER Visit Rate Population (2011-2013)
All 58.0 9,418

Sex

Female 67.0 4,298
Male 68.6 5,118

Race/Ethnicity

Asian/Pacific Islander 19.4 2,475
Black 657.8 187
Hispanic 84.4 1,196
White 56.4 5,461

Age

0-14 years 92.9 1,378
15-24 years 94.5 931
25-34 years 47.1 1,870
35-44 years 42.9 1,609
45-54 years 57.5 1,078
55-64 years 45.8 1,070
65-74 years 19.8 1,012
75+ years 92.7 453
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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.