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 3019100 Average

54.2

Averages

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76.0 City-Wide
82.9 Brooklyn
54.2 Tract

Census Tract 3019100

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Injury ER Visit Rate Population (2011-2013)
All 54.2 7,837

Sex

Female 52.3 4,017
Male 71.7 3,820

Race/Ethnicity

Asian/Pacific Islander 96.2 208
Black 93.9 2,162
Hispanic 30.4 2,405
White 41.4 2,539

Age

0-14 years 57.3 1,465
15-24 years 56.3 1,403
25-34 years 30.6 2,160
35-44 years 36.0 1,473
45-54 years 121.9 484
55-64 years 94.2 531
65-74 years 134.6 156
75+ years 92.9 140
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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.