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 1031704 Average

34.4

Averages

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76.0 City-Wide
65.8 Manhattan
34.4 Tract

Census Tract 1031704

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Injury ER Visit Rate Population (2011-2013)
All 34.4 18,252

Sex

Female 37.4 9,073
Male 47.0 9,178

Race/Ethnicity

Asian/Pacific Islander 7.8 4,385
Black 532.5 246
Hispanic 85.6 2,185
White 25.4 10,942

Age

0-14 years 29.9 3,311
15-24 years 113.3 803
25-34 years 45.5 3,233
35-44 years 16.2 4,630
45-54 years 35.5 2,678
55-64 years 31.4 1,974
65-74 years 21.1 1,139
75+ years 78.5 446
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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.