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 3075000 Average

35.0

Averages

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76.0 City-Wide
82.9 Brooklyn
35.0 Tract

Census Tract 3075000

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Injury ER Visit Rate Population (2011-2013)
All 35.0 9,579

Sex

Female 42.8 4,602
Male 38.2 4,976

Race/Ethnicity

Asian/Pacific Islander 43.9 342
Black 78.2 1,406
Hispanic 149.2 476
White 19.9 7,336

Age

0-14 years 24.0 2,833
15-24 years 23.7 1,646
25-34 years 44.1 1,316
35-44 years 32.3 1,147
45-54 years 56.2 747
55-64 years 55.8 950
65-74 years 59.2 304
75+ years 32.4 618
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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.