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 3003300 Average

53.9

Averages

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76.0 City-Wide
82.9 Brooklyn
53.9 Tract

Census Tract 3003300

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Injury ER Visit Rate Population (2011-2013)
All 53.9 7,981

Sex

Female 58.9 4,194
Male 68.1 3,787

Race/Ethnicity

Asian/Pacific Islander 26.5 756
Black 218.8 1,010
Hispanic 36.9 1,626
White 28.1 4,341

Age

0-14 years 190.4 583
15-24 years 92.9 678
25-34 years 21.5 3,307
35-44 years 33.5 1,729
45-54 years 65.2 828
55-64 years 92.6 432
65-74 years 75.1 253
75+ years 92.1 152
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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.