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 3042600 Average

44.2

Averages

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76.0 City-Wide
82.9 Brooklyn
44.2 Tract

Census Tract 3042600

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Injury ER Visit Rate Population (2011-2013)
All 44.2 13,057

Sex

Female 45.9 6,725
Male 58.5 6,324

Race/Ethnicity

Asian/Pacific Islander 7.7 5,829
Black 452.8 318
Hispanic 60.5 1,952
White 60.2 4,902

Age

0-14 years 62.7 2,024
15-24 years 59.9 1,552
25-34 years 55.2 1,630
35-44 years 35.5 1,777
45-54 years 41.4 2,030
55-64 years 33.2 1,659
65-74 years 23.2 1,377
75+ years 33.9 974
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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.