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 3044200 Average

47.1

Averages

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76.0 City-Wide
82.9 Brooklyn
47.1 Tract

Census Tract 3044200

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Injury ER Visit Rate Population (2011-2013)
All 47.1 7,395

Sex

Female 40.8 3,751
Male 72.5 3,643

Race/Ethnicity

Asian/Pacific Islander 117.6 204
Black 0.0 0
Hispanic 327.4 223
White 25.4 6,930

Age

0-14 years 41.6 1,925
15-24 years 53.2 1,127
25-34 years 52.3 1,051
35-44 years 72.0 611
45-54 years 47.2 721
55-64 years 26.8 1,233
65-74 years 78.1 269
75+ years 47.2 445
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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.