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 3030100 Average

144.1

Averages

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76.0 City-Wide
82.9 Brooklyn
144.1 Tract

Census Tract 3030100

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Injury ER Visit Rate Population (2011-2013)
All 144.1 7,650

Sex

Female 132.0 4,264
Male 220.4 3,385

Race/Ethnicity

Asian/Pacific Islander 0.0 85
Black 108.6 6,437
Hispanic 320.6 705
White 0.0 36

Age

0-14 years 198.1 1,277
15-24 years 184.7 1,018
25-34 years 192.1 942
35-44 years 141.8 973
45-54 years 97.0 1,588
55-64 years 173.4 623
65-74 years 62.3 802
75+ years 78.5 382
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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.