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 2013000 Average

59.7

Averages

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76.0 City-Wide
103.2 Bronx
59.7 Tract

Census Tract 2013000

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Injury ER Visit Rate Population (2011-2013)
All 59.7 3,285

Sex

Female 54.7 1,573
Male 82.4 1,711

Race/Ethnicity

Asian/Pacific Islander 0.0 0
Black 0.0 0
Hispanic 69.4 1,153
White 16.7 1,971

Age

0-14 years 231.6 190
15-24 years 69.1 492
25-34 years 74.0 446
35-44 years 108.4 286
45-54 years 30.6 654
55-64 years 42.0 571
65-74 years 10.5 285
75+ years 20.5 341
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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.