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 1011600 Average

49.0

Averages

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76.0 City-Wide
65.8 Manhattan
49.0 Tract

Census Tract 1011600

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Injury ER Visit Rate Population (2011-2013)
All 49.0 11,160

Sex

Female 50.1 6,264
Male 62.6 4,888

Race/Ethnicity

Asian/Pacific Islander 18.5 1,626
Black 121.6 806
Hispanic 202.1 470
White 28.1 7,502

Age

0-14 years 140.5 804
15-24 years 52.1 1,400
25-34 years 23.4 3,635
35-44 years 40.7 1,498
45-54 years 35.2 1,846
55-64 years 54.6 1,098
65-74 years 106.9 449
75+ years 100.5 418
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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.