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 3024000 Average

62.7

Averages

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76.0 City-Wide
82.9 Brooklyn
62.7 Tract

Census Tract 3024000

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Injury ER Visit Rate Population (2011-2013)
All 62.7 12,852

Sex

Female 68.1 5,666
Male 70.6 7,184

Race/Ethnicity

Asian/Pacific Islander 228.3 311
Black 610.8 203
Hispanic 154.2 1,187
White 34.1 11,112

Age

0-14 years 71.5 3,621
15-24 years 66.7 1,828
25-34 years 64.0 1,937
35-44 years 116.1 706
45-54 years 70.7 1,188
55-64 years 49.6 1,331
65-74 years 39.2 842
75+ years 26.0 1,387
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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.