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 3016500 Average

36.3

Averages

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76.0 City-Wide
82.9 Brooklyn
36.3 Tract

Census Tract 3016500

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Injury ER Visit Rate Population (2011-2013)
All 36.3 15,555

Sex

Female 37.3 8,302
Male 45.2 7,250

Race/Ethnicity

Asian/Pacific Islander 25.8 969
Black 191.3 779
Hispanic 122.9 1,074
White 19.3 12,105

Age

0-14 years 50.3 2,645
15-24 years 70.1 1,041
25-34 years 26.7 3,107
35-44 years 32.1 2,648
45-54 years 29.9 2,472
55-64 years 31.0 1,838
65-74 years 29.2 1,063
75+ years 39.3 713
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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.