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 3069000 Average

76.3

Averages

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76.0 City-Wide
82.9 Brooklyn
76.3 Tract

Census Tract 3069000

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Injury ER Visit Rate Population (2011-2013)
All 76.3 4,809

Sex

Female 67.0 2,775
Male 117.5 2,034

Race/Ethnicity

Asian/Pacific Islander 0.0 95
Black 57.8 3,027
Hispanic 137.0 613
White 133.1 819

Age

0-14 years 93.8 949
15-24 years 91.2 581
25-34 years 159.4 389
35-44 years 62.2 788
45-54 years 37.3 1,071
55-64 years 70.0 586
65-74 years 111.8 152
75+ years 55.9 286
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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.