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 3096400 Average

66.3

Averages

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76.0 City-Wide
82.9 Brooklyn
66.3 Tract

Census Tract 3096400

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Injury ER Visit Rate Population (2011-2013)
All 66.3 7,696

Sex

Female 81.2 3,631
Male 80.5 4,063

Race/Ethnicity

Asian/Pacific Islander 0.0 44
Black 64.5 5,485
Hispanic 56.1 1,373
White 143.5 655

Age

0-14 years 64.1 1,686
15-24 years 70.5 1,205
25-34 years 117.1 837
35-44 years 42.6 1,221
45-54 years 58.9 1,239
55-64 years 51.4 915
65-74 years 96.2 343
75+ years 59.6 235
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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.