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 3035300 Average

120.4

Averages

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76.0 City-Wide
82.9 Brooklyn
120.4 Tract

Census Tract 3035300

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Injury ER Visit Rate Population (2011-2013)
All 120.4 14,640

Sex

Female 126.8 8,042
Male 173.4 6,598

Race/Ethnicity

Asian/Pacific Islander 0.0 44
Black 137.4 9,313
Hispanic 127.2 2,406
White 128.5 2,607

Age

0-14 years 130.9 3,010
15-24 years 109.4 2,551
25-34 years 115.9 2,580
35-44 years 108.2 1,923
45-54 years 125.7 1,918
55-64 years 128.2 1,552
65-74 years 93.0 785
75+ years 231.5 298
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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.