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 1013200 Average

44.9

Averages

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76.0 City-Wide
65.8 Manhattan
44.9 Tract

Census Tract 1013200

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Injury ER Visit Rate Population (2011-2013)
All 44.9 28,447

Sex

Female 45.2 16,428
Male 60.1 12,019

Race/Ethnicity

Asian/Pacific Islander 20.3 2,362
Black 886.1 237
Hispanic 130.6 1,983
White 26.4 23,389

Age

0-14 years 86.6 2,805
15-24 years 65.9 2,472
25-34 years 26.2 7,778
35-44 years 37.1 4,980
45-54 years 62.5 3,006
55-64 years 38.4 3,464
65-74 years 30.6 2,548
75+ years 62.0 1,354
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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.