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 3051700 Average

29.4

Averages

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76.0 City-Wide
82.9 Brooklyn
29.4 Tract

Census Tract 3051700

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Injury ER Visit Rate Population (2011-2013)
All 29.4 5,037

Sex

Female 24.9 2,330
Male 42.5 2,707

Race/Ethnicity

Asian/Pacific Islander 27.0 444
Black 362.9 124
Hispanic 41.2 655
White 11.0 3,726

Age

0-14 years 81.4 258
15-24 years 54.5 477
25-34 years 14.8 2,160
35-44 years 21.8 871
45-54 years 66.8 404
55-64 years 22.1 452
65-74 years 43.2 139
75+ years 27.7 253
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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.