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 3027100 Average

117.7

Averages

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76.0 City-Wide
82.9 Brooklyn
117.7 Tract

Census Tract 3027100

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Injury ER Visit Rate Population (2011-2013)
All 117.7 7,831

Sex

Female 126.8 3,966
Male 149.1 3,862

Race/Ethnicity

Asian/Pacific Islander 20.9 621
Black 89.1 6,652
Hispanic 386.3 409
White 0.0 85

Age

0-14 years 130.9 1,398
15-24 years 144.7 1,057
25-34 years 125.4 1,395
35-44 years 97.3 1,203
45-54 years 89.9 1,201
55-64 years 93.2 987
65-74 years 156.9 306
75+ years 168.5 273
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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.