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 3029300 Average

126.6

Averages

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76.0 City-Wide
82.9 Brooklyn
126.6 Tract

Census Tract 3029300

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Injury ER Visit Rate Population (2011-2013)
All 126.6 9,136

Sex

Female 114.8 5,434
Male 197.7 3,702

Race/Ethnicity

Asian/Pacific Islander 0.0 9
Black 106.9 6,331
Hispanic 139.3 2,239
White 0.0 190

Age

0-14 years 153.8 1,697
15-24 years 139.0 1,345
25-34 years 245.4 876
35-44 years 122.5 1,004
45-54 years 118.1 1,380
55-64 years 112.7 1,029
65-74 years 46.3 1,122
75+ years 59.7 670
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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.