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 3068200 Average

55.7

Averages

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76.0 City-Wide
82.9 Brooklyn
55.7 Tract

Census Tract 3068200

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Injury ER Visit Rate Population (2011-2013)
All 55.7 8,866

Sex

Female 47.6 4,645
Male 75.9 4,215

Race/Ethnicity

Asian/Pacific Islander 57.6 330
Black 40.0 6,203
Hispanic 97.1 546
White 115.7 1,746

Age

0-14 years 70.6 1,204
15-24 years 49.6 1,614
25-34 years 60.2 1,279
35-44 years 74.7 830
45-54 years 39.0 1,819
55-64 years 39.7 1,335
65-74 years 70.6 439
75+ years 114.4 306
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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.