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 4012800 Average

59.2

Averages

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76.0 City-Wide
51.9 Queens
59.2 Tract

Census Tract 4012800

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Injury ER Visit Rate Population (2011-2013)
All 59.2 5,863

Sex

Female 49.3 3,222
Male 92.1 2,639

Race/Ethnicity

Asian/Pacific Islander 81.0 469
Black 226.5 446
Hispanic 32.0 3,378
White 69.3 1,415

Age

0-14 years 62.0 1,209
15-24 years 67.1 954
25-34 years 64.7 1,035
35-44 years 72.3 595
45-54 years 69.0 609
55-64 years 26.1 958
65-74 years 50.5 297
75+ years 80.8 198
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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.