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 1009300 Average

61.8

Averages

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76.0 City-Wide
65.8 Manhattan
61.8 Tract

Census Tract 1009300

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Injury ER Visit Rate Population (2011-2013)
All 61.8 28,918

Sex

Female 63.2 15,070
Male 85.3 13,841

Race/Ethnicity

Asian/Pacific Islander 70.6 1,671
Black 101.9 3,662
Hispanic 103.5 5,034
White 43.6 17,917

Age

0-14 years 75.1 3,663
15-24 years 104.3 2,578
25-34 years 88.5 3,840
35-44 years 52.9 4,950
45-54 years 48.2 5,038
55-64 years 53.9 3,318
65-74 years 34.8 2,985
75+ years 45.4 2,509
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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.