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 1022600 Average

100.8

Averages

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76.0 City-Wide
65.8 Manhattan
100.8 Tract

Census Tract 1022600

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Injury ER Visit Rate Population (2011-2013)
All 100.8 12,843

Sex

Female 102.5 6,391
Male 135.2 6,449

Race/Ethnicity

Asian/Pacific Islander 62.3 305
Black 68.4 9,105
Hispanic 222.7 1,810
White 198.4 1,346

Age

0-14 years 131.4 2,077
15-24 years 119.0 1,807
25-34 years 82.7 2,284
35-44 years 72.1 2,413
45-54 years 121.8 1,576
55-64 years 105.6 1,184
65-74 years 81.2 850
75+ years 89.6 636
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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.