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 3053700 Average

19.0

Averages

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76.0 City-Wide
82.9 Brooklyn
19.0 Tract

Census Tract 3053700

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Injury ER Visit Rate Population (2011-2013)
All 19.0 10,342

Sex

Female 20.4 5,244
Male 25.9 5,098

Race/Ethnicity

Asian/Pacific Islander 0.0 26
Black 209.8 205
Hispanic 299.5 197
White 10.5 9,676

Age

0-14 years 9.7 4,441
15-24 years 18.3 1,806
25-34 years 30.1 1,130
35-44 years 31.3 830
45-54 years 68.2 352
55-64 years 15.3 1,174
65-74 years 32.8 274
75+ years 27.5 327
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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.