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 3044700 Average

124.7

Averages

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76.0 City-Wide
82.9 Brooklyn
124.7 Tract

Census Tract 3044700

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Injury ER Visit Rate Population (2011-2013)
All 124.7 6,896

Sex

Female 129.0 3,544
Male 176.4 3,351

Race/Ethnicity

Asian/Pacific Islander 76.2 210
Black 417.5 824
Hispanic 84.0 4,393
White 132.1 1,151

Age

0-14 years 179.6 1,186
15-24 years 129.5 1,166
25-34 years 79.5 1,886
35-44 years 108.7 865
45-54 years 122.5 906
55-64 years 126.2 618
65-74 years 363.6 110
75+ years 211.0 109
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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.