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 3057900 Average

137.5

Averages

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76.0 City-Wide
82.9 Brooklyn
137.5 Tract

Census Tract 3057900

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Injury ER Visit Rate Population (2011-2013)
All 137.5 2,961

Sex

Female 163.9 1,312
Male 149.9 1,648

Race/Ethnicity

Asian/Pacific Islander 69.3 231
Black 0.0 0
Hispanic 106.3 1,242
White 54.1 1,480

Age

0-14 years 636.4 132
15-24 years 101.6 679
25-34 years 80.9 853
35-44 years 108.9 349
45-54 years 98.2 509
55-64 years 201.5 268
65-74 years 0.0 85
75+ years 0.0 78
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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.