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 3006600 Average

50.9

Averages

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76.0 City-Wide
82.9 Brooklyn
50.9 Tract

Census Tract 3006600

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Injury ER Visit Rate Population (2011-2013)
All 50.9 11,008

Sex

Female 49.4 5,976
Male 71.0 5,030

Race/Ethnicity

Asian/Pacific Islander 21.0 1,095
Black 613.3 181
Hispanic 79.7 2,159
White 32.4 7,500

Age

0-14 years 68.3 2,034
15-24 years 74.6 1,072
25-34 years 40.3 2,111
35-44 years 34.4 1,891
45-54 years 52.6 1,559
55-64 years 42.5 1,272
65-74 years 58.3 429
75+ years 47.7 629
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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.