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 3034300 Average

161.4

Averages

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76.0 City-Wide
82.9 Brooklyn
161.4 Tract

Census Tract 3034300

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Injury ER Visit Rate Population (2011-2013)
All 161.4 15,456

Sex

Female 151.6 9,114
Male 252.1 6,342

Race/Ethnicity

Asian/Pacific Islander 180.4 255
Black 152.8 10,788
Hispanic 126.5 3,351
White 694.1 729

Age

0-14 years 141.8 3,675
15-24 years 137.7 2,934
25-34 years 200.3 2,022
35-44 years 175.5 1,892
45-54 years 216.2 1,656
55-64 years 163.6 1,491
65-74 years 133.2 976
75+ years 126.6 790
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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.