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 3036501 Average

129.0

Averages

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76.0 City-Wide
82.9 Brooklyn
129.0 Tract

Census Tract 3036501

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Injury ER Visit Rate Population (2011-2013)
All 129.0 7,333

Sex

Female 119.0 4,084
Male 185.0 3,249

Race/Ethnicity

Asian/Pacific Islander 0.0 58
Black 94.4 6,091
Hispanic 248.9 683
White 514.1 391

Age

0-14 years 135.8 1,510
15-24 years 215.0 758
25-34 years 154.2 1,154
35-44 years 91.8 1,133
45-54 years 90.0 1,267
55-64 years 143.7 647
65-74 years 69.2 578
75+ years 182.8 268
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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.