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 1002601 Average

119.5

Averages

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76.0 City-Wide
65.8 Manhattan
119.5 Tract

Census Tract 1002601

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Injury ER Visit Rate Population (2011-2013)
All 119.5 11,263

Sex

Female 112.8 5,884
Male 162.9 5,379

Race/Ethnicity

Asian/Pacific Islander 55.8 1,989
Black 193.1 1,383
Hispanic 82.5 4,617
White 173.7 3,068

Age

0-14 years 174.6 1,157
15-24 years 118.1 1,710
25-34 years 103.5 2,493
35-44 years 91.7 2,071
45-54 years 92.1 1,932
55-64 years 128.7 1,181
65-74 years 115.0 626
75+ years 0.0 79
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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.