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

4017 (District 311) Average

49.2

Averages

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76.0 City-Wide
82.9 Brooklyn
49.2 4017 (District 311)

4017 (District 311)

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Injury ER Visit Rate Population (2011-2013)
All 49.2 533,109

Sex

Female 49.2 271,180
Male 66.1 261,928

Race/Ethnicity

Asian/Pacific Islander 11.0 191,038
Black 969.4 5,367
Hispanic 79.7 73,384
White 52.6 256,776

Age

0-14 years 73.0 85,860
15-24 years 60.1 63,642
25-34 years 45.8 87,968
35-44 years 44.8 70,718
45-54 years 45.6 70,491
55-64 years 39.1 67,564
65-74 years 32.1 44,662
75+ years 39.0 42,204
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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.