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 3050202 Average

39.0

Averages

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76.0 City-Wide
82.9 Brooklyn
39.0 Tract

Census Tract 3050202

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Injury ER Visit Rate Population (2011-2013)
All 39.0 7,029

Sex

Female 33.1 4,075
Male 56.6 2,953

Race/Ethnicity

Asian/Pacific Islander 20.8 337
Black 569.1 123
Hispanic 67.1 790
White 23.7 5,575

Age

0-14 years 67.0 910
15-24 years 53.2 733
25-34 years 41.8 956
35-44 years 37.8 1,033
45-54 years 23.0 1,173
55-64 years 26.3 1,217
65-74 years 37.5 427
75+ years 35.0 571
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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.