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 1022000 Average

86.1

Averages

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76.0 City-Wide
65.8 Manhattan
86.1 Tract

Census Tract 1022000

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Injury ER Visit Rate Population (2011-2013)
All 86.1 17,818

Sex

Female 78.8 9,873
Male 133.1 7,942

Race/Ethnicity

Asian/Pacific Islander 54.1 777
Black 54.7 11,051
Hispanic 159.6 3,038
White 157.8 2,281

Age

0-14 years 102.2 3,190
15-24 years 98.6 2,444
25-34 years 74.4 3,510
35-44 years 69.3 3,029
45-54 years 83.3 2,353
55-64 years 84.0 1,739
65-74 years 69.6 1,192
75+ years 205.8 345
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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.