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 3004700 Average

69.6

Averages

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76.0 City-Wide
82.9 Brooklyn
69.6 Tract

Census Tract 3004700

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Injury ER Visit Rate Population (2011-2013)
All 69.6 3,995

Sex

Female 78.4 2,182
Male 102.2 1,811

Race/Ethnicity

Asian/Pacific Islander 18.7 481
Black 291.3 436
Hispanic 67.5 918
White 56.0 2,001

Age

0-14 years 68.2 806
15-24 years 190.5 231
25-34 years 53.7 875
35-44 years 39.5 1,037
45-54 years 59.1 575
55-64 years 119.4 268
65-74 years 0.0 60
75+ years 60.2 133
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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.