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 3119400 Average

122.3

Averages

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76.0 City-Wide
82.9 Brooklyn
122.3 Tract

Census Tract 3119400

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Injury ER Visit Rate Population (2011-2013)
All 122.3 11,086

Sex

Female 110.9 6,068
Male 184.5 5,014

Race/Ethnicity

Asian/Pacific Islander 0.0 0
Black 109.2 7,427
Hispanic 98.1 3,426
White 0.0 79

Age

0-14 years 114.9 2,603
15-24 years 98.7 2,411
25-34 years 144.4 1,468
35-44 years 115.7 1,599
45-54 years 140.6 1,323
55-64 years 89.8 1,192
65-74 years 279.2 240
75+ years 267.2 232
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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.