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 3018200 Average

47.9

Averages

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76.0 City-Wide
82.9 Brooklyn
47.9 Tract

Census Tract 3018200

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Injury ER Visit Rate Population (2011-2013)
All 47.9 8,944

Sex

Female 49.0 4,609
Male 59.5 4,334

Race/Ethnicity

Asian/Pacific Islander 6.7 4,902
Black 0.0 31
Hispanic 60.8 1,744
White 93.6 2,212

Age

0-14 years 67.1 1,506
15-24 years 65.3 1,056
25-34 years 27.6 1,632
35-44 years 51.9 1,137
45-54 years 40.5 1,408
55-64 years 45.0 978
65-74 years 38.9 592
75+ years 48.0 625
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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.