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 3000301 Average

22.7

Averages

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76.0 City-Wide
82.9 Brooklyn
22.7 Tract

Census Tract 3000301

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Injury ER Visit Rate Population (2011-2013)
All 22.7 13,547

Sex

Female 24.6 7,070
Male 31.0 6,477

Race/Ethnicity

Asian/Pacific Islander 15.5 647
Black 121.6 732
Hispanic 64.2 966
White 13.8 10,495

Age

0-14 years 40.7 1,866
15-24 years 40.5 815
25-34 years 20.9 2,868
35-44 years 13.2 2,508
45-54 years 22.0 1,912
55-64 years 19.3 1,610
65-74 years 22.6 798
75+ years 12.4 1,133
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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.