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 3035900 Average

157.4

Averages

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76.0 City-Wide
82.9 Brooklyn
157.4 Tract

Census Tract 3035900

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Injury ER Visit Rate Population (2011-2013)
All 157.4 15,803

Sex

Female 157.3 8,803
Male 219.5 6,998

Race/Ethnicity

Asian/Pacific Islander 321.6 199
Black 122.3 13,729
Hispanic 248.7 1,781
White 0.0 64

Age

0-14 years 146.2 3,522
15-24 years 120.3 3,491
25-34 years 206.7 2,056
35-44 years 167.1 1,987
45-54 years 147.7 2,281
55-64 years 204.3 1,219
65-74 years 95.5 1,131
75+ years 0.0 75
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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.