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 3063200 Average

51.8

Averages

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76.0 City-Wide
82.9 Brooklyn
51.8 Tract

Census Tract 3063200

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Injury ER Visit Rate Population (2011-2013)
All 51.8 4,188

Sex

Female 59.4 2,221
Male 71.7 1,967

Race/Ethnicity

Asian/Pacific Islander 29.9 368
Black 0.0 47
Hispanic 85.5 304
White 39.1 3,457

Age

0-14 years 120.5 390
15-24 years 72.2 360
25-34 years 72.5 469
35-44 years 72.9 384
45-54 years 44.1 703
55-64 years 28.9 796
65-74 years 61.9 210
75+ years 17.3 865
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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.