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 3086600 Average

99.2

Averages

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76.0 City-Wide
82.9 Brooklyn
99.2 Tract

Census Tract 3086600

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Injury ER Visit Rate Population (2011-2013)
All 99.2 9,634

Sex

Female 87.9 5,676
Male 162.5 3,958

Race/Ethnicity

Asian/Pacific Islander 0.0 8
Black 78.8 9,044
Hispanic 318.5 449
White 0.0 47

Age

0-14 years 122.1 1,572
15-24 years 105.4 1,603
25-34 years 153.7 1,015
35-44 years 105.6 1,184
45-54 years 88.5 1,379
55-64 years 75.7 1,360
65-74 years 53.6 970
75+ years 68.8 538
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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.