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 3014900 Average

45.5

Averages

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76.0 City-Wide
82.9 Brooklyn
45.5 Tract

Census Tract 3014900

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Injury ER Visit Rate Population (2011-2013)
All 45.5 15,917

Sex

Female 42.5 8,503
Male 54.4 7,409

Race/Ethnicity

Asian/Pacific Islander 31.3 1,117
Black 269.9 715
Hispanic 56.7 2,821
White 27.1 10,975

Age

0-14 years 73.6 2,214
15-24 years 68.6 1,326
25-34 years 23.9 4,890
35-44 years 36.0 2,837
45-54 years 44.1 1,792
55-64 years 41.1 1,851
65-74 years 74.9 574
75+ years 128.3 421
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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.