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 3052700 Average

99.7

Averages

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76.0 City-Wide
82.9 Brooklyn
99.7 Tract

Census Tract 3052700

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Injury ER Visit Rate Population (2011-2013)
All 99.7 20,384

Sex

Female 93.3 10,641
Male 140.1 9,742

Race/Ethnicity

Asian/Pacific Islander 137.8 653
Black 0.0 488
Hispanic 37.1 14,191
White 111.5 4,483

Age

0-14 years 103.0 3,843
15-24 years 102.4 3,204
25-34 years 63.4 5,523
35-44 years 99.6 2,560
45-54 years 167.8 1,806
55-64 years 114.6 1,571
65-74 years 92.1 1,259
75+ years 175.9 597
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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.