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 4048000 Average

54.2

Averages

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76.0 City-Wide
51.9 Queens
54.2 Tract

Census Tract 4048000

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Injury ER Visit Rate Population (2011-2013)
All 54.2 7,935

Sex

Female 62.2 3,474
Male 67.1 4,458

Race/Ethnicity

Asian/Pacific Islander 15.9 2,521
Black 92.6 1,900
Hispanic 40.5 2,246
White 673.5 147

Age

0-14 years 109.3 1,098
15-24 years 66.0 1,136
25-34 years 55.3 1,030
35-44 years 42.8 1,472
45-54 years 53.9 927
55-64 years 28.9 1,072
65-74 years 33.4 628
75+ years 23.1 562
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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.