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 3073600 Average

70.2

Averages

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76.0 City-Wide
82.9 Brooklyn
70.2 Tract

Census Tract 3073600

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Injury ER Visit Rate Population (2011-2013)
All 70.2 10,638

Sex

Female 63.0 5,766
Male 98.1 4,871

Race/Ethnicity

Asian/Pacific Islander 18.0 1,388
Black 57.3 7,283
Hispanic 154.5 660
White 238.3 965

Age

0-14 years 91.1 1,801
15-24 years 54.7 1,810
25-34 years 75.1 1,744
35-44 years 105.7 861
45-54 years 56.0 1,805
55-64 years 44.8 1,428
65-74 years 62.4 785
75+ years 127.7 376
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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.