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 2001900 Average

147.7

Averages

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76.0 City-Wide
103.2 Bronx
147.7 Tract

Census Tract 2001900

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Injury ER Visit Rate Population (2011-2013)
All 147.7 6,709

Sex

Female 148.4 3,316
Male 188.3 3,393

Race/Ethnicity

Asian/Pacific Islander 0.0 66
Black 211.9 1,548
Hispanic 99.9 3,994
White 123.7 881

Age

0-14 years 160.5 1,470
15-24 years 117.8 1,333
25-34 years 132.4 1,118
35-44 years 108.0 1,305
45-54 years 158.7 775
55-64 years 355.3 304
65-74 years 136.5 315
75+ years 0.0 76
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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.