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 3121400 Average

177.0

Averages

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76.0 City-Wide
82.9 Brooklyn
177.0 Tract

Census Tract 3121400

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Injury ER Visit Rate Population (2011-2013)
All 177.0 12,150

Sex

Female 158.5 7,432
Male 288.5 4,717

Race/Ethnicity

Asian/Pacific Islander 0.0 0
Black 195.8 7,366
Hispanic 110.7 4,544
White 0.0 151

Age

0-14 years 152.6 3,251
15-24 years 147.9 2,806
25-34 years 253.4 1,389
35-44 years 200.0 1,410
45-54 years 198.4 1,381
55-64 years 168.1 958
65-74 years 136.0 706
75+ years 316.5 237
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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.