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 4001000 Average

65.2

Averages

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76.0 City-Wide
51.9 Queens
65.2 Tract

Census Tract 4001000

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Injury ER Visit Rate Population (2011-2013)
All 65.2 10,774

Sex

Female 61.3 5,233
Male 83.9 5,541

Race/Ethnicity

Asian/Pacific Islander 33.0 2,185
Black 273.0 729
Hispanic 37.0 5,889
White 96.0 1,532

Age

0-14 years 75.9 2,214
15-24 years 49.5 2,183
25-34 years 59.0 1,813
35-44 years 70.6 1,318
45-54 years 58.6 1,569
55-64 years 63.0 1,047
65-74 years 134.1 261
75+ years 93.9 362
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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.