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 3095000 Average

77.4

Averages

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76.0 City-Wide
82.9 Brooklyn
77.4 Tract

Census Tract 3095000

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Injury ER Visit Rate Population (2011-2013)
All 77.4 9,352

Sex

Female 74.5 5,341
Male 109.2 4,011

Race/Ethnicity

Asian/Pacific Islander 0.0 0
Black 49.0 8,951
Hispanic 427.5 262
White 0.0 138

Age

0-14 years 98.2 1,579
15-24 years 66.3 1,886
25-34 years 98.0 1,061
35-44 years 70.0 1,200
45-54 years 69.2 1,185
55-64 years 59.8 1,438
65-74 years 117.8 484
75+ years 62.8 494
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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.