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 3044400 Average

49.9

Averages

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76.0 City-Wide
82.9 Brooklyn
49.9 Tract

Census Tract 3044400

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Injury ER Visit Rate Population (2011-2013)
All 49.9 9,358

Sex

Female 46.6 4,888
Male 66.0 4,469

Race/Ethnicity

Asian/Pacific Islander 120.7 232
Black 0.0 30
Hispanic 95.3 860
White 27.4 8,128

Age

0-14 years 55.7 1,884
15-24 years 35.0 1,570
25-34 years 51.9 1,311
35-44 years 67.7 827
45-54 years 51.5 1,340
55-64 years 40.6 1,085
65-74 years 66.5 466
75+ years 46.2 845
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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.