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 1011000 Average

35.8

Averages

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76.0 City-Wide
65.8 Manhattan
35.8 Tract

Census Tract 1011000

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Injury ER Visit Rate Population (2011-2013)
All 35.8 22,422

Sex

Female 35.9 12,579
Male 47.2 9,843

Race/Ethnicity

Asian/Pacific Islander 23.3 1,543
Black 361.8 304
Hispanic 116.0 1,353
White 19.3 18,844

Age

0-14 years 53.8 2,641
15-24 years 90.4 1,195
25-34 years 19.9 7,149
35-44 years 22.8 3,940
45-54 years 34.8 2,874
55-64 years 63.8 1,457
65-74 years 41.2 1,602
75+ years 40.4 1,536
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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.