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 3009400 Average

71.7

Averages

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76.0 City-Wide
82.9 Brooklyn
71.7 Tract

Census Tract 3009400

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Injury ER Visit Rate Population (2011-2013)
All 71.7 16,250

Sex

Female 65.6 8,108
Male 94.7 8,143

Race/Ethnicity

Asian/Pacific Islander 11.9 8,854
Black 800.0 205
Hispanic 93.8 3,295
White 160.8 3,309

Age

0-14 years 98.6 3,225
15-24 years 66.9 2,377
25-34 years 66.2 2,417
35-44 years 55.7 2,673
45-54 years 47.4 2,574
55-64 years 79.9 1,515
65-74 years 122.6 514
75+ years 78.2 933
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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.