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 3048000 Average

75.3

Averages

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76.0 City-Wide
82.9 Brooklyn
75.3 Tract

Census Tract 3048000

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Injury ER Visit Rate Population (2011-2013)
All 75.3 10,845

Sex

Female 78.6 5,306
Male 91.3 5,533

Race/Ethnicity

Asian/Pacific Islander 57.8 1,245
Black 303.7 349
Hispanic 107.3 1,705
White 53.1 7,459

Age

0-14 years 55.9 3,541
15-24 years 100.1 1,179
25-34 years 81.7 1,811
35-44 years 74.9 1,348
45-54 years 73.3 1,173
55-64 years 115.9 716
65-74 years 69.9 544
75+ years 85.6 526
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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.