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 1019600 Average

117.8

Averages

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76.0 City-Wide
65.8 Manhattan
117.8 Tract

Census Tract 1019600

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Injury ER Visit Rate Population (2011-2013)
All 117.8 12,605

Sex

Female 113.9 6,928
Male 170.4 5,674

Race/Ethnicity

Asian/Pacific Islander 204.0 250
Black 145.7 3,446
Hispanic 61.7 8,088
White 717.2 495

Age

0-14 years 101.5 2,730
15-24 years 130.2 1,858
25-34 years 152.4 1,614
35-44 years 180.7 1,101
45-54 years 177.0 1,062
55-64 years 149.1 1,227
65-74 years 59.6 1,359
75+ years 42.3 1,633
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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.