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 3057300 Average

49.1

Averages

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76.0 City-Wide
82.9 Brooklyn
49.1 Tract

Census Tract 3057300

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Injury ER Visit Rate Population (2011-2013)
All 49.1 6,422

Sex

Female 43.6 3,513
Male 79.8 2,907

Race/Ethnicity

Asian/Pacific Islander 83.3 264
Black 0.0 92
Hispanic 116.3 645
White 21.7 5,256

Age

0-14 years 201.8 327
15-24 years 67.1 566
25-34 years 24.8 2,461
35-44 years 70.8 579
45-54 years 44.0 886
55-64 years 35.6 898
65-74 years 97.7 256
75+ years 31.9 407
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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.