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 3035700 Average

136.2

Averages

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76.0 City-Wide
82.9 Brooklyn
136.2 Tract

Census Tract 3035700

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Injury ER Visit Rate Population (2011-2013)
All 136.2 6,592

Sex

Female 117.4 4,232
Male 240.3 2,360

Race/Ethnicity

Asian/Pacific Islander 0.0 24
Black 113.0 5,716
Hispanic 192.5 748
White 0.0 42

Age

0-14 years 136.7 1,522
15-24 years 105.9 1,379
25-34 years 198.4 736
35-44 years 91.5 995
45-54 years 106.1 1,065
55-64 years 302.5 324
65-74 years 160.7 361
75+ years 188.1 202
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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.