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 3089200 Average

160.2

Averages

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76.0 City-Wide
82.9 Brooklyn
160.2 Tract

Census Tract 3089200

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Injury ER Visit Rate Population (2011-2013)
All 160.2 10,379

Sex

Female 147.1 6,370
Male 265.9 4,009

Race/Ethnicity

Asian/Pacific Islander 0.0 0
Black 128.2 9,490
Hispanic 439.3 676
White 0.0 69

Age

0-14 years 169.8 2,214
15-24 years 152.7 1,644
25-34 years 169.5 1,676
35-44 years 206.5 1,143
45-54 years 124.4 1,560
55-64 years 145.8 1,207
65-74 years 136.1 529
75+ years 187.3 395
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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.