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 3009600 Average

115.8

Averages

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76.0 City-Wide
82.9 Brooklyn
115.8 Tract

Census Tract 3009600

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Injury ER Visit Rate Population (2011-2013)
All 115.8 17,866

Sex

Female 107.9 9,159
Male 152.3 8,708

Race/Ethnicity

Asian/Pacific Islander 33.1 4,114
Black 0.0 265
Hispanic 51.4 10,771
White 372.3 2,560

Age

0-14 years 139.8 3,663
15-24 years 117.3 2,498
25-34 years 88.3 3,829
35-44 years 84.4 3,094
45-54 years 127.7 1,981
55-64 years 124.8 1,531
65-74 years 125.2 775
75+ years 259.4 478
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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.