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 3016800 Average

36.7

Averages

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76.0 City-Wide
82.9 Brooklyn
36.7 Tract

Census Tract 3016800

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Injury ER Visit Rate Population (2011-2013)
All 36.7 4,827

Sex

Female 42.0 2,307
Male 42.1 2,520

Race/Ethnicity

Asian/Pacific Islander 10.0 702
Black 181.5 259
Hispanic 0.0 30
White 22.6 3,671

Age

0-14 years 39.7 781
15-24 years 64.1 421
25-34 years 40.5 741
35-44 years 43.6 550
45-54 years 50.2 598
55-64 years 31.0 580
65-74 years 17.9 503
75+ years 12.4 643
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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.