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 3027400 Average

50.9

Averages

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76.0 City-Wide
82.9 Brooklyn
50.9 Tract

Census Tract 3027400

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Injury ER Visit Rate Population (2011-2013)
All 50.9 7,959

Sex

Female 53.2 3,701
Male 60.8 4,258

Race/Ethnicity

Asian/Pacific Islander 12.2 3,761
Black 0.0 13
Hispanic 197.4 380
White 54.3 3,793

Age

0-14 years 84.9 1,307
15-24 years 57.6 937
25-34 years 55.6 1,170
35-44 years 57.4 714
45-54 years 36.8 1,333
55-64 years 24.5 1,102
65-74 years 28.2 817
75+ years 60.6 578
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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.