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 3099600 Average

64.9

Averages

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76.0 City-Wide
82.9 Brooklyn
64.9 Tract

Census Tract 3099600

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Injury ER Visit Rate Population (2011-2013)
All 64.9 10,859

Sex

Female 60.9 6,177
Male 97.5 4,679

Race/Ethnicity

Asian/Pacific Islander 0.0 86
Black 45.6 10,181
Hispanic 666.7 171
White 371.7 374

Age

0-14 years 84.7 1,900
15-24 years 57.9 1,933
25-34 years 84.1 1,510
35-44 years 69.5 1,209
45-54 years 40.1 1,993
55-64 years 41.8 1,389
65-74 years 102.4 459
75+ years 81.6 441
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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.