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 4078800 Average

68.9

Averages

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76.0 City-Wide
51.9 Queens
68.9 Tract

Census Tract 4078800

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Injury ER Visit Rate Population (2011-2013)
All 68.9 4,458

Sex

Female 68.5 2,365
Male 83.8 2,089

Race/Ethnicity

Asian/Pacific Islander 0.0 44
Black 28.7 3,583
Hispanic 516.6 151
White 328.5 207

Age

0-14 years 136.3 543
15-24 years 56.6 1,060
25-34 years 126.5 324
35-44 years 67.3 505
45-54 years 34.0 1,059
55-64 years 72.4 387
65-74 years 59.0 288
75+ years 58.6 290
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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.