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 3026800 Average

45.8

Averages

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76.0 City-Wide
82.9 Brooklyn
45.8 Tract

Census Tract 3026800

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Injury ER Visit Rate Population (2011-2013)
All 45.8 12,469

Sex

Female 45.0 5,905
Male 60.3 6,563

Race/Ethnicity

Asian/Pacific Islander 12.5 3,050
Black 0.0 109
Hispanic 69.8 1,978
White 39.6 7,114

Age

0-14 years 66.0 2,517
15-24 years 56.8 1,585
25-34 years 32.5 2,459
35-44 years 43.4 1,612
45-54 years 35.9 1,558
55-64 years 38.1 1,286
65-74 years 45.0 755
75+ years 38.7 672
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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.