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 3025200 Average

40.4

Averages

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76.0 City-Wide
82.9 Brooklyn
40.4 Tract

Census Tract 3025200

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Injury ER Visit Rate Population (2011-2013)
All 40.4 17,631

Sex

Female 37.1 9,240
Male 59.6 8,390

Race/Ethnicity

Asian/Pacific Islander 8.5 7,424
Black 878.5 181
Hispanic 47.6 3,255
White 52.9 6,556

Age

0-14 years 59.2 3,277
15-24 years 50.0 2,181
25-34 years 33.2 3,070
35-44 years 29.0 2,929
45-54 years 41.0 2,000
55-64 years 32.8 2,102
65-74 years 38.3 809
75+ years 33.2 1,236
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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.