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 3042100 Average

112.6

Averages

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76.0 City-Wide
82.9 Brooklyn
112.6 Tract

Census Tract 3042100

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Injury ER Visit Rate Population (2011-2013)
All 112.6 10,833

Sex

Female 122.3 5,194
Male 143.0 5,629

Race/Ethnicity

Asian/Pacific Islander 47.2 678
Black 445.3 1,006
Hispanic 67.6 8,221
White 326.1 785

Age

0-14 years 178.4 1,519
15-24 years 99.6 2,238
25-34 years 86.1 2,486
35-44 years 133.8 1,233
45-54 years 95.4 1,383
55-64 years 86.1 1,104
65-74 years 165.4 405
75+ years 121.8 435
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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.