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 4061900 Average

38.2

Averages

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76.0 City-Wide
51.9 Queens
38.2 Tract

Census Tract 4061900

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Injury ER Visit Rate Population (2011-2013)
All 38.2 9,116

Sex

Female 39.0 4,695
Male 49.3 4,421

Race/Ethnicity

Asian/Pacific Islander 117.3 162
Black 0.0 70
Hispanic 63.0 2,046
White 12.9 6,830

Age

0-14 years 56.7 1,322
15-24 years 48.6 1,316
25-34 years 33.8 1,539
35-44 years 21.8 1,746
45-54 years 42.4 1,131
55-64 years 21.6 1,063
65-74 years 53.1 471
75+ years 44.1 522
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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.