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 3056400 Average

48.2

Averages

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76.0 City-Wide
82.9 Brooklyn
48.2 Tract

Census Tract 3056400

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Injury ER Visit Rate Population (2011-2013)
All 48.2 6,434

Sex

Female 44.2 3,329
Male 68.3 3,104

Race/Ethnicity

Asian/Pacific Islander 27.6 508
Black 0.0 70
Hispanic 160.5 380
White 28.2 5,419

Age

0-14 years 59.1 1,151
15-24 years 93.4 471
25-34 years 60.0 916
35-44 years 64.2 530
45-54 years 35.1 968
55-64 years 21.8 1,239
65-74 years 49.7 583
75+ years 35.7 532
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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.