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 3022700 Average

102.4

Averages

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76.0 City-Wide
82.9 Brooklyn
102.4 Tract

Census Tract 3022700

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Injury ER Visit Rate Population (2011-2013)
All 102.4 9,203

Sex

Female 106.9 4,735
Male 128.8 4,466

Race/Ethnicity

Asian/Pacific Islander 34.6 549
Black 103.5 5,371
Hispanic 121.0 1,174
White 105.9 1,936

Age

0-14 years 151.2 1,257
15-24 years 97.8 1,554
25-34 years 85.7 2,206
35-44 years 77.7 1,570
45-54 years 125.6 852
55-64 years 104.7 860
65-74 years 96.9 547
75+ years 119.3 327
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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.