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 3091800 Average

140.7

Averages

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76.0 City-Wide
82.9 Brooklyn
140.7 Tract

Census Tract 3091800

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Injury ER Visit Rate Population (2011-2013)
All 140.7 8,674

Sex

Female 118.0 5,389
Male 234.1 3,281

Race/Ethnicity

Asian/Pacific Islander 0.0 52
Black 141.6 5,707
Hispanic 98.1 2,876
White 0.0 0

Age

0-14 years 124.5 2,024
15-24 years 131.3 1,637
25-34 years 241.7 877
35-44 years 141.8 1,072
45-54 years 119.5 1,222
55-64 years 149.8 888
65-74 years 95.9 532
75+ years 144.3 409
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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.