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 3038900 Average

141.3

Averages

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76.0 City-Wide
82.9 Brooklyn
141.3 Tract

Census Tract 3038900

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Injury ER Visit Rate Population (2011-2013)
All 141.3 8,253

Sex

Female 147.5 3,958
Male 173.8 4,293

Race/Ethnicity

Asian/Pacific Islander 42.1 617
Black 0.0 426
Hispanic 64.5 5,440
White 195.4 1,305

Age

0-14 years 160.2 1,386
15-24 years 138.0 1,333
25-34 years 127.6 1,943
35-44 years 122.5 1,200
45-54 years 156.5 933
55-64 years 142.3 773
65-74 years 110.2 472
75+ years 274.0 208
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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.