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 3120800 Average

109.0

Averages

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76.0 City-Wide
82.9 Brooklyn
109.0 Tract

Census Tract 3120800

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Injury ER Visit Rate Population (2011-2013)
All 109.0 25,032

Sex

Female 95.3 14,225
Male 162.0 10,807

Race/Ethnicity

Asian/Pacific Islander 0.0 92
Black 86.1 19,488
Hispanic 119.6 4,849
White 966.9 423

Age

0-14 years 95.1 5,911
15-24 years 139.5 3,175
25-34 years 144.8 3,259
35-44 years 107.6 3,365
45-54 years 118.3 3,304
55-64 years 86.6 2,957
65-74 years 75.7 1,758
75+ years 84.2 1,295
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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.