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 3067000 Average

58.0

Averages

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76.0 City-Wide
82.9 Brooklyn
58.0 Tract

Census Tract 3067000

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Injury ER Visit Rate Population (2011-2013)
All 58.0 8,470

Sex

Female 54.3 4,529
Male 79.7 3,940

Race/Ethnicity

Asian/Pacific Islander 107.6 251
Black 52.0 4,137
Hispanic 58.6 1,315
White 70.2 2,379

Age

0-14 years 60.5 1,636
15-24 years 102.2 783
25-34 years 62.5 1,392
35-44 years 55.4 1,209
45-54 years 52.5 1,104
55-64 years 45.5 1,142
65-74 years 41.6 529
75+ years 39.0 667
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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.