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 3039000 Average

40.0

Averages

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76.0 City-Wide
82.9 Brooklyn
40.0 Tract

Census Tract 3039000

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Injury ER Visit Rate Population (2011-2013)
All 40.0 6,568

Sex

Female 43.0 3,325
Male 54.3 3,243

Race/Ethnicity

Asian/Pacific Islander 47.5 505
Black 0.0 0
Hispanic 407.4 108
White 26.3 5,938

Age

0-14 years 42.4 1,368
15-24 years 59.9 751
25-34 years 59.2 693
35-44 years 44.9 757
45-54 years 47.8 628
55-64 years 28.0 999
65-74 years 17.4 861
75+ years 24.5 489
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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.