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 3048600 Average

81.0

Averages

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76.0 City-Wide
82.9 Brooklyn
81.0 Tract

Census Tract 3048600

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Injury ER Visit Rate Population (2011-2013)
All 81.0 10,516

Sex

Female 79.9 5,218
Male 101.0 5,296

Race/Ethnicity

Asian/Pacific Islander 14.2 4,801
Black 0.0 159
Hispanic 74.9 2,564
White 144.0 2,945

Age

0-14 years 75.5 2,967
15-24 years 68.8 1,714
25-34 years 64.5 1,970
35-44 years 77.7 1,249
45-54 years 94.2 1,210
55-64 years 85.4 808
65-74 years 159.9 344
75+ years 202.5 237
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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.