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 3036600 Average

109.2

Averages

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76.0 City-Wide
82.9 Brooklyn
109.2 Tract

Census Tract 3036600

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Injury ER Visit Rate Population (2011-2013)
All 109.2 11,761

Sex

Female 104.1 6,099
Male 148.9 5,662

Race/Ethnicity

Asian/Pacific Islander 40.1 3,543
Black 972.6 328
Hispanic 58.7 2,472
White 147.4 5,034

Age

0-14 years 178.3 1,576
15-24 years 111.2 1,754
25-34 years 90.6 2,108
35-44 years 116.7 1,440
45-54 years 116.7 1,431
55-64 years 121.7 1,126
65-74 years 62.5 1,008
75+ years 63.4 1,293
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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.