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 4011500 Average

46.0

Averages

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76.0 City-Wide
51.9 Queens
46.0 Tract

Census Tract 4011500

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Injury ER Visit Rate Population (2011-2013)
All 46.0 7,780

Sex

Female 54.7 3,618
Male 51.2 4,162

Race/Ethnicity

Asian/Pacific Islander 42.7 1,008
Black 0.0 30
Hispanic 58.5 1,762
White 22.1 4,796

Age

0-14 years 96.7 724
15-24 years 47.1 1,061
25-34 years 22.7 2,427
35-44 years 37.2 995
45-54 years 53.3 994
55-64 years 35.7 1,064
65-74 years 114.9 235
75+ years 101.4 276
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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.