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 4052400 Average

56.2

Averages

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76.0 City-Wide
51.9 Queens
56.2 Tract

Census Tract 4052400

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Injury ER Visit Rate Population (2011-2013)
All 56.2 4,984

Sex

Female 49.8 2,749
Male 77.0 2,235

Race/Ethnicity

Asian/Pacific Islander 0.0 51
Black 23.2 4,478
Hispanic 232.6 301
White 0.0 60

Age

0-14 years 81.3 861
15-24 years 137.9 377
25-34 years 106.2 405
35-44 years 33.7 861
45-54 years 21.7 1,105
55-64 years 68.3 542
65-74 years 22.1 543
75+ years 46.3 281
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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.