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 3090000 Average

140.9

Averages

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76.0 City-Wide
82.9 Brooklyn
140.9 Tract

Census Tract 3090000

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Injury ER Visit Rate Population (2011-2013)
All 140.9 16,325

Sex

Female 118.5 10,111
Male 240.9 6,214

Race/Ethnicity

Asian/Pacific Islander 0.0 0
Black 126.1 12,860
Hispanic 136.6 3,310
White 0.0 95

Age

0-14 years 112.2 4,599
15-24 years 159.5 2,388
25-34 years 130.9 2,781
35-44 years 122.1 2,391
45-54 years 192.1 1,728
55-64 years 155.6 1,311
65-74 years 148.8 766
75+ years 286.5 342
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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.