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 4023500 Average

46.0

Averages

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76.0 City-Wide
51.9 Queens
46.0 Tract

Census Tract 4023500

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Injury ER Visit Rate Population (2011-2013)
All 46.0 24,795

Sex

Female 41.6 12,287
Male 64.0 12,508

Race/Ethnicity

Asian/Pacific Islander 22.4 6,147
Black 839.8 206
Hispanic 26.9 16,396
White 196.0 1,750

Age

0-14 years 59.8 3,877
15-24 years 32.8 4,659
25-34 years 37.8 5,534
35-44 years 31.7 4,670
45-54 years 56.4 2,555
55-64 years 69.1 2,127
65-74 years 58.8 936
75+ years 132.5 400
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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.