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 3037402 Average

75.8

Averages

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76.0 City-Wide
82.9 Brooklyn
75.8 Tract

Census Tract 3037402

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Injury ER Visit Rate Population (2011-2013)
All 75.8 11,827

Sex

Female 64.1 6,963
Male 130.5 4,859

Race/Ethnicity

Asian/Pacific Islander 65.5 1,023
Black 950.8 244
Hispanic 268.7 387
White 57.9 10,048

Age

0-14 years 196.8 935
15-24 years 119.9 1,234
25-34 years 135.0 1,089
35-44 years 103.5 918
45-54 years 72.6 1,488
55-64 years 64.2 1,479
65-74 years 27.3 2,011
75+ years 24.5 2,649
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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.