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 3042000 Average

41.9

Averages

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76.0 City-Wide
82.9 Brooklyn
41.9 Tract

Census Tract 3042000

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Injury ER Visit Rate Population (2011-2013)
All 41.9 6,201

Sex

Female 46.8 3,203
Male 56.7 2,997

Race/Ethnicity

Asian/Pacific Islander 40.2 373
Black 0.0 11
Hispanic 58.6 751
White 33.8 4,885

Age

0-14 years 28.5 1,931
15-24 years 30.9 1,099
25-34 years 61.0 754
35-44 years 108.0 324
45-54 years 56.3 799
55-64 years 27.0 742
65-74 years 52.2 268
75+ years 39.9 276
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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.