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 4028200 Average

65.0

Averages

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76.0 City-Wide
51.9 Queens
65.0 Tract

Census Tract 4028200

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Injury ER Visit Rate Population (2011-2013)
All 65.0 4,493

Sex

Female 57.2 2,638
Male 95.1 1,850

Race/Ethnicity

Asian/Pacific Islander 0.0 36
Black 23.5 4,090
Hispanic 282.4 262
White 0.0 0

Age

0-14 years 81.5 822
15-24 years 86.2 545
25-34 years 46.4 798
35-44 years 87.5 423
45-54 years 42.7 960
55-64 years 65.6 381
65-74 years 58.6 273
75+ years 84.9 259
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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.