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 3041100 Average

157.8

Averages

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76.0 City-Wide
82.9 Brooklyn
157.8 Tract

Census Tract 3041100

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Injury ER Visit Rate Population (2011-2013)
All 157.8 9,060

Sex

Female 147.4 4,890
Male 225.7 4,169

Race/Ethnicity

Asian/Pacific Islander 0.0 0
Black 132.3 4,671
Hispanic 128.8 3,782
White 855.2 373

Age

0-14 years 156.9 1,989
15-24 years 144.3 1,511
25-34 years 165.5 1,511
35-44 years 196.5 982
45-54 years 163.7 1,063
55-64 years 138.5 1,112
65-74 years 104.7 592
75+ years 237.6 282
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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.