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 3072600 Average

64.1

Averages

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76.0 City-Wide
82.9 Brooklyn
64.1 Tract

Census Tract 3072600

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Injury ER Visit Rate Population (2011-2013)
All 64.1 7,273

Sex

Female 56.5 4,230
Male 96.0 3,043

Race/Ethnicity

Asian/Pacific Islander 0.0 54
Black 38.3 6,819
Hispanic 371.8 156
White 487.1 232

Age

0-14 years 85.0 1,165
15-24 years 45.6 1,097
25-34 years 102.3 772
35-44 years 78.2 882
45-54 years 59.5 1,193
55-64 years 43.5 1,240
65-74 years 37.1 593
75+ years 68.3 322
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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.