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 3042900 Average

143.3

Averages

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76.0 City-Wide
82.9 Brooklyn
143.3 Tract

Census Tract 3042900

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Injury ER Visit Rate Population (2011-2013)
All 143.3 18,523

Sex

Female 152.9 8,483
Male 173.6 10,039

Race/Ethnicity

Asian/Pacific Islander 167.1 425
Black 853.6 1,086
Hispanic 70.6 15,264
White 291.9 1,699

Age

0-14 years 133.4 4,214
15-24 years 139.6 2,922
25-34 years 109.4 4,085
35-44 years 137.1 2,626
45-54 years 182.0 2,088
55-64 years 142.3 1,898
65-74 years 338.7 375
75+ years 331.1 302
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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.