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 4026500 Average

46.8

Averages

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76.0 City-Wide
51.9 Queens
46.8 Tract

Census Tract 4026500

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Injury ER Visit Rate Population (2011-2013)
All 46.8 11,956

Sex

Female 43.0 6,190
Male 60.4 5,766

Race/Ethnicity

Asian/Pacific Islander 9.2 8,058
Black 545.5 154
Hispanic 74.7 2,731
White 164.8 1,007

Age

0-14 years 76.5 1,620
15-24 years 45.8 1,180
25-34 years 24.6 3,054
35-44 years 30.7 2,602
45-54 years 57.0 1,490
55-64 years 57.3 1,257
65-74 years 89.3 403
75+ years 102.7 331
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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.