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 4101700 Average

29.0

Averages

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76.0 City-Wide
51.9 Queens
29.0 Tract

Census Tract 4101700

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Injury ER Visit Rate Population (2011-2013)
All 29.0 17,691

Sex

Female 24.6 9,230
Male 41.0 8,458

Race/Ethnicity

Asian/Pacific Islander 20.7 3,386
Black 0.0 6
Hispanic 75.3 1,845
White 15.8 12,189

Age

0-14 years 40.8 2,574
15-24 years 35.3 2,211
25-34 years 68.4 1,125
35-44 years 32.7 2,477
45-54 years 20.5 3,026
55-64 years 19.9 2,159
65-74 years 17.5 1,771
75+ years 15.4 2,335
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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.