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 3038600 Average

70.5

Averages

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76.0 City-Wide
82.9 Brooklyn
70.5 Tract

Census Tract 3038600

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Injury ER Visit Rate Population (2011-2013)
All 70.5 9,861

Sex

Female 75.2 4,921
Male 92.1 4,940

Race/Ethnicity

Asian/Pacific Islander 21.9 3,522
Black 0.0 13
Hispanic 74.5 1,557
White 85.4 4,752

Age

0-14 years 66.6 2,238
15-24 years 126.1 793
25-34 years 61.7 1,572
35-44 years 44.5 1,552
45-54 years 110.9 1,055
55-64 years 73.7 1,059
65-74 years 56.9 843
75+ years 49.9 742
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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.