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 3022200 Average

60.6

Averages

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76.0 City-Wide
82.9 Brooklyn
60.6 Tract

Census Tract 3022200

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Injury ER Visit Rate Population (2011-2013)
All 60.6 12,683

Sex

Female 68.2 5,834
Male 66.6 6,849

Race/Ethnicity

Asian/Pacific Islander 181.2 276
Black 0.0 61
Hispanic 194.3 1,081
White 31.6 11,245

Age

0-14 years 52.5 4,384
15-24 years 51.4 2,101
25-34 years 68.4 1,885
35-44 years 122.3 638
45-54 years 69.8 1,075
55-64 years 43.3 1,593
65-74 years 158.1 253
75+ years 53.6 728
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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.