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 3051800 Average

80.5

Averages

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76.0 City-Wide
82.9 Brooklyn
80.5 Tract

Census Tract 3051800

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Injury ER Visit Rate Population (2011-2013)
All 80.5 10,541

Sex

Female 74.7 5,947
Male 120.6 4,586

Race/Ethnicity

Asian/Pacific Islander 29.0 1,796
Black 94.8 3,778
Hispanic 57.1 2,380
White 133.6 2,433

Age

0-14 years 184.6 959
15-24 years 75.0 1,759
25-34 years 92.8 1,606
35-44 years 69.4 1,614
45-54 years 76.1 1,248
55-64 years 39.4 2,134
65-74 years 60.1 699
75+ years 112.4 516
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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.