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 1015802 Average

36.8

Averages

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76.0 City-Wide
65.8 Manhattan
36.8 Tract

Census Tract 1015802

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Injury ER Visit Rate Population (2011-2013)
All 36.8 11,253

Sex

Female 32.5 6,312
Male 55.7 4,939

Race/Ethnicity

Asian/Pacific Islander 7.0 2,710
Black 181.5 529
Hispanic 74.5 1,558
White 27.5 6,066

Age

0-14 years 53.9 1,188
15-24 years 37.6 1,834
25-34 years 15.8 4,757
35-44 years 42.1 1,400
45-54 years 64.3 840
55-64 years 72.4 677
65-74 years 113.6 176
75+ years 65.4 367
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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.