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 1023700 Average

97.4

Averages

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76.0 City-Wide
65.8 Manhattan
97.4 Tract

Census Tract 1023700

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Injury ER Visit Rate Population (2011-2013)
All 97.4 22,384

Sex

Female 109.0 11,289
Male 121.0 11,085

Race/Ethnicity

Asian/Pacific Islander 259.7 181
Black 88.0 5,707
Hispanic 63.4 13,158
White 138.9 2,663

Age

0-14 years 116.3 3,964
15-24 years 73.9 4,169
25-34 years 96.4 3,723
35-44 years 65.9 3,643
45-54 years 109.2 2,738
55-64 years 134.9 2,016
65-74 years 105.9 1,218
75+ years 125.0 896
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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.