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 1000700 Average

20.3

Averages

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76.0 City-Wide
65.8 Manhattan
20.3 Tract

Census Tract 1000700

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Injury ER Visit Rate Population (2011-2013)
All 20.3 20,988

Sex

Female 21.7 10,116
Male 27.7 10,871

Race/Ethnicity

Asian/Pacific Islander 11.2 4,534
Black 151.6 409
Hispanic 115.2 981
White 14.3 14,430

Age

0-14 years 50.9 1,219
15-24 years 20.9 3,309
25-34 years 7.2 10,686
35-44 years 14.4 3,338
45-54 years 45.3 1,348
55-64 years 64.3 856
65-74 years 0.0 87
75+ years 245.8 118
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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.