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 1011100 Average

62.4

Averages

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76.0 City-Wide
65.8 Manhattan
62.4 Tract

Census Tract 1011100

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Injury ER Visit Rate Population (2011-2013)
All 62.4 10,377

Sex

Female 66.8 5,138
Male 79.6 5,238

Race/Ethnicity

Asian/Pacific Islander 23.1 1,902
Black 161.6 978
Hispanic 88.7 2,301
White 40.9 5,081

Age

0-14 years 133.1 744
15-24 years 67.8 1,401
25-34 years 40.5 3,380
35-44 years 59.6 1,813
45-54 years 51.2 1,427
55-64 years 65.6 960
65-74 years 91.5 448
75+ years 172.0 186
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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.