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 1023802 Average

116.7

Averages

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76.0 City-Wide
65.8 Manhattan
116.7 Tract

Census Tract 1023802

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Injury ER Visit Rate Population (2011-2013)
All 116.7 7,816

Sex

Female 147.4 3,364
Male 138.8 4,451

Race/Ethnicity

Asian/Pacific Islander 105.1 790
Black 127.6 1,795
Hispanic 181.7 1,084
White 85.1 3,947

Age

0-14 years 235.2 744
15-24 years 453.6 280
25-34 years 97.9 1,297
35-44 years 126.9 906
45-54 years 110.9 1,172
55-64 years 109.4 1,115
65-74 years 67.5 948
75+ years 38.8 1,340
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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.