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 2035000 Average

84.0

Averages

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76.0 City-Wide
103.2 Bronx
84.0 Tract

Census Tract 2035000

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Injury ER Visit Rate Population (2011-2013)
All 84.0 5,586

Sex

Female 73.1 2,804
Male 116.1 2,781

Race/Ethnicity

Asian/Pacific Islander 60.0 200
Black 42.4 3,541
Hispanic 156.7 1,506
White 201.6 243

Age

0-14 years 81.1 1,257
15-24 years 102.8 778
25-34 years 96.4 664
35-44 years 45.3 1,215
45-54 years 158.5 511
55-64 years 56.0 625
65-74 years 123.0 244
75+ years 80.6 273
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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.