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 2009000 Average

141.1

Averages

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76.0 City-Wide
103.2 Bronx
141.1 Tract

Census Tract 2009000

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Injury ER Visit Rate Population (2011-2013)
All 141.1 11,305

Sex

Female 116.0 6,302
Male 210.5 5,003

Race/Ethnicity

Asian/Pacific Islander 38.4 703
Black 209.7 2,332
Hispanic 91.1 7,981
White 625.9 286

Age

0-14 years 126.6 2,543
15-24 years 112.2 2,496
25-34 years 181.3 1,478
35-44 years 138.6 1,465
45-54 years 183.6 1,291
55-64 years 174.7 933
65-74 years 81.8 795
75+ years 191.9 297
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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.