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 3095400 Average

78.7

Averages

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76.0 City-Wide
82.9 Brooklyn
78.7 Tract

Census Tract 3095400

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Injury ER Visit Rate Population (2011-2013)
All 78.7 13,423

Sex

Female 76.5 7,308
Male 110.2 6,115

Race/Ethnicity

Asian/Pacific Islander 0.0 76
Black 50.4 12,791
Hispanic 736.1 288
White 810.7 243

Age

0-14 years 72.7 2,959
15-24 years 92.8 1,865
25-34 years 101.3 1,817
35-44 years 76.5 2,000
45-54 years 62.6 1,773
55-64 years 65.7 1,795
65-74 years 72.7 811
75+ years 111.4 395
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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.