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 1005600 Average

88.2

Averages

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76.0 City-Wide
65.8 Manhattan
88.2 Tract

Census Tract 1005600

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Injury ER Visit Rate Population (2011-2013)
All 88.2 8,041

Sex

Female 83.1 4,213
Male 119.8 3,824

Race/Ethnicity

Asian/Pacific Islander 48.3 1,077
Black 336.4 535
Hispanic 165.2 1,223
White 45.0 5,002

Age

0-14 years 180.6 659
15-24 years 127.7 822
25-34 years 55.2 2,230
35-44 years 49.3 1,827
45-54 years 114.8 958
55-64 years 101.5 906
65-74 years 64.0 500
75+ years 365.4 104
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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.