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 3079801 Average

65.5

Averages

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76.0 City-Wide
82.9 Brooklyn
65.5 Tract

Census Tract 3079801

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Injury ER Visit Rate Population (2011-2013)
All 65.5 10,420

Sex

Female 59.7 5,726
Male 96.2 4,690

Race/Ethnicity

Asian/Pacific Islander 63.6 456
Black 54.2 7,711
Hispanic 205.5 545
White 113.3 1,324

Age

0-14 years 106.2 1,337
15-24 years 67.3 1,724
25-34 years 68.6 1,838
35-44 years 53.2 1,484
45-54 years 89.3 1,064
55-64 years 44.7 1,500
65-74 years 32.1 904
75+ years 53.0 547
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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.