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 4022002 Average

35.3

Averages

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76.0 City-Wide
51.9 Queens
35.3 Tract

Census Tract 4022002

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Injury ER Visit Rate Population (2011-2013)
All 35.3 17,288

Sex

Female 38.1 8,893
Male 41.3 8,394

Race/Ethnicity

Asian/Pacific Islander 22.3 3,272
Black 60.7 2,654
Hispanic 35.0 4,574
White 27.2 6,476

Age

0-14 years 67.4 2,197
15-24 years 34.1 2,318
25-34 years 29.5 3,018
35-44 years 24.0 2,663
45-54 years 36.0 2,361
55-64 years 27.1 2,956
65-74 years 25.1 1,277
75+ years 76.4 445
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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.