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 3072000 Average

72.7

Averages

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76.0 City-Wide
82.9 Brooklyn
72.7 Tract

Census Tract 3072000

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Injury ER Visit Rate Population (2011-2013)
All 72.7 6,406

Sex

Female 66.5 3,622
Male 114.9 2,784

Race/Ethnicity

Asian/Pacific Islander 38.5 338
Black 51.6 5,348
Hispanic 0.0 15
White 264.8 574

Age

0-14 years 82.2 1,168
15-24 years 53.4 1,423
25-34 years 135.4 687
35-44 years 77.3 699
45-54 years 40.2 1,269
55-64 years 91.1 450
65-74 years 59.4 522
75+ years 135.6 177
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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.