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 3111600 Average

118.4

Averages

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76.0 City-Wide
82.9 Brooklyn
118.4 Tract

Census Tract 3111600

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Injury ER Visit Rate Population (2011-2013)
All 118.4 8,710

Sex

Female 105.7 5,006
Male 173.9 3,704

Race/Ethnicity

Asian/Pacific Islander 0.0 0
Black 94.0 7,075
Hispanic 151.7 1,384
White 754.6 216

Age

0-14 years 124.0 1,839
15-24 years 107.7 1,420
25-34 years 209.4 869
35-44 years 99.6 1,345
45-54 years 134.0 970
55-64 years 119.7 952
65-74 years 149.1 369
75+ years 37.1 944
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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.