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 1029900 Average

107.3

Averages

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76.0 City-Wide
65.8 Manhattan
107.3 Tract

Census Tract 1029900

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Injury ER Visit Rate Population (2011-2013)
All 107.3 12,904

Sex

Female 104.5 7,059
Male 151.5 5,843

Race/Ethnicity

Asian/Pacific Islander 155.2 116
Black 91.1 3,042
Hispanic 65.9 9,361
White 892.2 269

Age

0-14 years 97.2 2,871
15-24 years 132.1 1,772
25-34 years 176.1 1,374
35-44 years 85.6 1,846
45-54 years 111.8 1,512
55-64 years 80.4 1,753
65-74 years 95.9 928
75+ years 89.4 817
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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.