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 3021900 Average

84.7

Averages

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76.0 City-Wide
82.9 Brooklyn
84.7 Tract

Census Tract 3021900

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Injury ER Visit Rate Population (2011-2013)
All 84.7 11,233

Sex

Female 91.8 5,707
Male 111.7 5,525

Race/Ethnicity

Asian/Pacific Islander 38.9 822
Black 85.3 7,038
Hispanic 139.6 967
White 116.2 1,988

Age

0-14 years 155.2 1,424
15-24 years 77.5 1,846
25-34 years 59.1 2,994
35-44 years 55.8 1,827
45-54 years 133.6 876
55-64 years 86.1 1,103
65-74 years 89.5 648
75+ years 74.7 509
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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.