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 3022900 Average

88.4

Averages

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76.0 City-Wide
82.9 Brooklyn
88.4 Tract

Census Tract 3022900

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Injury ER Visit Rate Population (2011-2013)
All 88.4 10,278

Sex

Female 88.9 5,803
Male 123.2 4,471

Race/Ethnicity

Asian/Pacific Islander 61.3 506
Black 89.2 5,962
Hispanic 146.2 1,012
White 84.9 2,555

Age

0-14 years 112.1 1,864
15-24 years 116.4 1,349
25-34 years 59.5 2,572
35-44 years 64.7 1,732
45-54 years 104.6 994
55-64 years 79.3 1,148
65-74 years 152.4 315
75+ years 116.3 301
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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.