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 2026400 Average

49.0

Averages

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76.0 City-Wide
103.2 Bronx
49.0 Tract

Census Tract 2026400

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Injury ER Visit Rate Population (2011-2013)
All 49.0 17,022

Sex

Female 49.3 8,419
Male 62.5 8,602

Race/Ethnicity

Asian/Pacific Islander 147.8 203
Black 322.0 705
Hispanic 56.0 6,467
White 14.5 9,500

Age

0-14 years 55.0 3,436
15-24 years 65.6 2,028
25-34 years 64.9 2,035
35-44 years 52.1 2,283
45-54 years 29.8 3,087
55-64 years 60.3 1,508
65-74 years 30.3 1,483
75+ years 28.8 1,147
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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.