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 3054600 Average

54.7

Averages

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76.0 City-Wide
82.9 Brooklyn
54.7 Tract

Census Tract 3054600

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Injury ER Visit Rate Population (2011-2013)
All 54.7 13,482

Sex

Female 56.3 6,874
Male 68.0 6,606

Race/Ethnicity

Asian/Pacific Islander 61.6 828
Black 852.9 272
Hispanic 118.3 778
White 30.3 11,489

Age

0-14 years 69.0 2,393
15-24 years 67.1 1,401
25-34 years 61.9 2,084
35-44 years 41.0 2,145
45-54 years 65.2 1,473
55-64 years 43.1 1,694
65-74 years 39.9 928
75+ years 40.7 1,353
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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.