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 1017402 Average

86.4

Averages

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76.0 City-Wide
65.8 Manhattan
86.4 Tract

Census Tract 1017402

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Injury ER Visit Rate Population (2011-2013)
All 86.4 7,932

Sex

Female 95.9 4,110
Male 115.7 3,820

Race/Ethnicity

Asian/Pacific Islander 28.7 558
Black 59.0 3,562
Hispanic 93.6 2,202
White 194.1 1,195

Age

0-14 years 117.4 1,363
15-24 years 64.9 1,525
25-34 years 53.1 2,073
35-44 years 81.6 907
45-54 years 219.3 424
55-64 years 84.3 913
65-74 years 111.1 360
75+ years 88.2 363
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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.