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 3076400 Average

75.0

Averages

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76.0 City-Wide
82.9 Brooklyn
75.0 Tract

Census Tract 3076400

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Injury ER Visit Rate Population (2011-2013)
All 75.0 11,704

Sex

Female 79.2 6,173
Male 93.4 5,527

Race/Ethnicity

Asian/Pacific Islander 81.6 429
Black 68.6 5,290
Hispanic 62.9 2,431
White 102.9 3,130

Age

0-14 years 74.7 2,543
15-24 years 71.4 1,821
25-34 years 100.4 1,624
35-44 years 51.9 1,870
45-54 years 83.1 1,444
55-64 years 61.9 1,356
65-74 years 58.2 739
75+ years 169.4 301
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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.