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 3013400 Average

54.1

Averages

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76.0 City-Wide
82.9 Brooklyn
54.1 Tract

Census Tract 3013400

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Injury ER Visit Rate Population (2011-2013)
All 54.1 12,088

Sex

Female 51.0 6,138
Male 71.8 5,950

Race/Ethnicity

Asian/Pacific Islander 24.4 1,761
Black 0.0 87
Hispanic 125.4 1,475
White 34.6 8,469

Age

0-14 years 65.9 2,156
15-24 years 49.2 1,768
25-34 years 62.3 2,008
35-44 years 50.4 1,746
45-54 years 46.7 1,800
55-64 years 60.5 1,058
65-74 years 41.6 697
75+ years 41.5 844
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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.