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 1012400 Average

46.0

Averages

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76.0 City-Wide
65.8 Manhattan
46.0 Tract

Census Tract 1012400

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Injury ER Visit Rate Population (2011-2013)
All 46.0 29,952

Sex

Female 49.9 16,486
Male 56.6 13,465

Race/Ethnicity

Asian/Pacific Islander 13.1 4,573
Black 117.7 1,835
Hispanic 124.6 1,765
White 27.5 21,584

Age

0-14 years 71.4 4,354
15-24 years 96.6 1,770
25-34 years 25.0 8,847
35-44 years 45.4 3,807
45-54 years 48.4 3,221
55-64 years 43.6 3,348
65-74 years 40.0 2,450
75+ years 47.2 2,141
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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.