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 3102000 Average

51.2

Averages

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76.0 City-Wide
82.9 Brooklyn
51.2 Tract

Census Tract 3102000

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Injury ER Visit Rate Population (2011-2013)
All 51.2 6,463

Sex

Female 46.3 3,457
Male 75.2 3,005

Race/Ethnicity

Asian/Pacific Islander 22.9 175
Black 40.9 5,549
Hispanic 184.7 249
White 232.1 418

Age

0-14 years 60.4 1,307
15-24 years 59.4 858
25-34 years 76.0 737
35-44 years 67.1 700
45-54 years 17.7 1,696
55-64 years 59.2 625
65-74 years 63.8 188
75+ years 56.4 337
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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.