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 3099000 Average

72.0

Averages

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76.0 City-Wide
82.9 Brooklyn
72.0 Tract

Census Tract 3099000

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Injury ER Visit Rate Population (2011-2013)
All 72.0 4,414

Sex

Female 58.4 2,448
Male 107.8 1,966

Race/Ethnicity

Asian/Pacific Islander 23.8 546
Black 56.1 3,457
Hispanic 335.4 158
White 310.3 232

Age

0-14 years 72.6 868
15-24 years 90.9 583
25-34 years 105.1 447
35-44 years 71.2 632
45-54 years 77.6 670
55-64 years 27.1 775
65-74 years 130.8 214
75+ years 44.6 202
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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.