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 4006900 Average

80.6

Averages

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76.0 City-Wide
51.9 Queens
80.6 Tract

Census Tract 4006900

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Injury ER Visit Rate Population (2011-2013)
All 80.6 13,678

Sex

Female 85.6 6,077
Male 90.2 7,598

Race/Ethnicity

Asian/Pacific Islander 52.9 2,323
Black 553.2 329
Hispanic 66.8 4,822
White 54.8 6,000

Age

0-14 years 139.1 1,510
15-24 years 112.2 1,435
25-34 years 40.8 4,310
35-44 years 75.4 1,964
45-54 years 99.1 1,171
55-64 years 124.4 1,198
65-74 years 70.5 893
75+ years 68.5 1,168
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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.