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 3010600 Average

49.1

Averages

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76.0 City-Wide
82.9 Brooklyn
49.1 Tract

Census Tract 3010600

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Injury ER Visit Rate Population (2011-2013)
All 49.1 18,543

Sex

Female 53.4 9,038
Male 62.9 9,503

Race/Ethnicity

Asian/Pacific Islander 4.7 15,418
Black 544.9 323
Hispanic 163.0 1,540
White 389.1 1,028

Age

0-14 years 65.1 3,669
15-24 years 49.1 2,951
25-34 years 42.9 3,337
35-44 years 44.7 2,817
45-54 years 41.5 2,432
55-64 years 39.7 1,866
65-74 years 45.0 934
75+ years 77.4 517
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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.