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 3023000 Average

67.4

Averages

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76.0 City-Wide
82.9 Brooklyn
67.4 Tract

Census Tract 3023000

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Injury ER Visit Rate Population (2011-2013)
All 67.4 12,495

Sex

Female 65.1 6,499
Male 82.6 5,992

Race/Ethnicity

Asian/Pacific Islander 153.8 585
Black 0.0 107
Hispanic 67.4 2,892
White 43.7 8,895

Age

0-14 years 51.5 4,097
15-24 years 57.6 2,152
25-34 years 52.4 2,537
35-44 years 130.5 820
45-54 years 67.1 1,475
55-64 years 90.6 817
65-74 years 137.9 319
75+ years 200.8 249
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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.