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 3088400 Average

131.4

Averages

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76.0 City-Wide
82.9 Brooklyn
131.4 Tract

Census Tract 3088400

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Injury ER Visit Rate Population (2011-2013)
All 131.4 15,611

Sex

Female 125.9 8,848
Male 195.4 6,762

Race/Ethnicity

Asian/Pacific Islander 151.6 277
Black 107.9 13,940
Hispanic 416.7 768
White 0.0 310

Age

0-14 years 109.3 3,752
15-24 years 142.2 2,271
25-34 years 168.5 2,148
35-44 years 133.3 2,175
45-54 years 131.5 2,190
55-64 years 106.2 1,818
65-74 years 136.4 711
75+ years 164.8 540
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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.