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 4055400 Average

33.0

Averages

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76.0 City-Wide
51.9 Queens
33.0 Tract

Census Tract 4055400

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Injury ER Visit Rate Population (2011-2013)
All 33.0 7,939

Sex

Female 39.0 3,798
Male 39.2 4,134

Race/Ethnicity

Asian/Pacific Islander 15.5 2,959
Black 40.6 1,871
Hispanic 32.0 1,936
White 147.3 672

Age

0-14 years 52.0 1,057
15-24 years 37.6 1,222
25-34 years 32.0 1,124
35-44 years 31.7 1,387
45-54 years 21.7 1,291
55-64 years 29.1 825
65-74 years 26.5 603
75+ years 31.5 413
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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.