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 3038300 Average

96.9

Averages

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76.0 City-Wide
82.9 Brooklyn
96.9 Tract

Census Tract 3038300

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Injury ER Visit Rate Population (2011-2013)
All 96.9 12,452

Sex

Female 98.7 6,666
Male 132.9 5,786

Race/Ethnicity

Asian/Pacific Islander 268.9 119
Black 64.3 10,669
Hispanic 207.0 1,251
White 0.0 240

Age

0-14 years 100.3 2,752
15-24 years 143.0 1,315
25-34 years 116.7 2,074
35-44 years 74.3 1,924
45-54 years 81.2 1,797
55-64 years 101.5 1,153
65-74 years 55.8 932
75+ years 85.5 491
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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.