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 4045400 Average

53.6

Averages

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76.0 City-Wide
51.9 Queens
53.6 Tract

Census Tract 4045400

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Injury ER Visit Rate Population (2011-2013)
All 53.6 12,434

Sex

Female 64.0 5,956
Male 69.6 6,477

Race/Ethnicity

Asian/Pacific Islander 10.8 7,162
Black 212.7 1,359
Hispanic 98.1 1,438
White 121.0 1,223

Age

0-14 years 151.3 1,289
15-24 years 39.6 2,548
25-34 years 45.3 2,097
35-44 years 46.3 1,597
45-54 years 41.0 1,828
55-64 years 40.2 1,568
65-74 years 37.8 1,084
75+ years 55.8 394
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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.