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 3003500 Average

68.9

Averages

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76.0 City-Wide
82.9 Brooklyn
68.9 Tract

Census Tract 3003500

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Injury ER Visit Rate Population (2011-2013)
All 68.9 4,441

Sex

Female 76.3 2,295
Male 90.4 2,146

Race/Ethnicity

Asian/Pacific Islander 30.1 598
Black 65.5 2,121
Hispanic 93.6 545
White 138.2 738

Age

0-14 years 135.6 435
15-24 years 127.2 456
25-34 years 73.1 793
35-44 years 41.9 954
45-54 years 39.1 741
55-64 years 86.4 359
65-74 years 40.1 474
75+ years 55.8 215
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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.