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 3095800 Average

83.5

Averages

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76.0 City-Wide
82.9 Brooklyn
83.5 Tract

Census Tract 3095800

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Injury ER Visit Rate Population (2011-2013)
All 83.5 9,544

Sex

Female 87.5 4,711
Male 102.7 4,831

Race/Ethnicity

Asian/Pacific Islander 63.9 360
Black 67.0 7,376
Hispanic 117.5 1,362
White 414.4 362

Age

0-14 years 139.7 1,231
15-24 years 115.1 1,182
25-34 years 66.0 1,971
35-44 years 68.0 1,382
45-54 years 51.8 1,968
55-64 years 70.1 1,142
65-74 years 121.1 380
75+ years 141.2 262
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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.