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 1011201 Average

42.5

Averages

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76.0 City-Wide
65.8 Manhattan
42.5 Tract

Census Tract 1011201

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Injury ER Visit Rate Population (2011-2013)
All 42.5 2,445

Sex

Female 68.4 1,125
Male 43.9 1,320

Race/Ethnicity

Asian/Pacific Islander 16.2 308
Black 0.0 42
Hispanic 194.9 118
White 18.8 1,964

Age

0-14 years 0.0 51
15-24 years 0.0 81
25-34 years 60.0 400
35-44 years 51.3 273
45-54 years 26.3 418
55-64 years 14.3 561
65-74 years 23.4 342
75+ years 26.5 302
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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.