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 3056600 Average

40.3

Averages

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76.0 City-Wide
82.9 Brooklyn
40.3 Tract

Census Tract 3056600

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Injury ER Visit Rate Population (2011-2013)
All 40.3 8,517

Sex

Female 46.6 4,225
Male 53.8 4,291

Race/Ethnicity

Asian/Pacific Islander 8.2 2,314
Black 307.9 380
Hispanic 143.4 488
White 31.1 5,116

Age

0-14 years 66.7 1,425
15-24 years 36.2 1,271
25-34 years 71.8 794
35-44 years 39.1 1,254
45-54 years 22.4 1,294
55-64 years 31.9 1,191
65-74 years 36.5 384
75+ years 17.0 882
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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.