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 1022400 Average

154.2

Averages

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76.0 City-Wide
65.8 Manhattan
154.2 Tract

Census Tract 1022400

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Injury ER Visit Rate Population (2011-2013)
All 154.2 19,482

Sex

Female 136.7 11,664
Male 255.1 7,818

Race/Ethnicity

Asian/Pacific Islander 73.8 569
Black 115.3 11,387
Hispanic 165.6 6,227
White 740.8 787

Age

0-14 years 165.6 3,769
15-24 years 130.1 3,673
25-34 years 179.7 2,861
35-44 years 139.8 2,898
45-54 years 139.9 2,844
55-64 years 162.9 1,682
65-74 years 162.0 1,006
75+ years 208.7 709
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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.