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 3074200 Average

49.6

Averages

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76.0 City-Wide
82.9 Brooklyn
49.6 Tract

Census Tract 3074200

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Injury ER Visit Rate Population (2011-2013)
All 49.6 10,598

Sex

Female 52.5 5,161
Male 63.3 5,437

Race/Ethnicity

Asian/Pacific Islander 103.6 280
Black 57.3 4,294
Hispanic 169.1 615
White 32.6 5,332

Age

0-14 years 45.6 2,761
15-24 years 50.2 1,694
25-34 years 44.9 1,827
35-44 years 68.2 982
45-54 years 46.1 1,280
55-64 years 44.0 1,274
65-74 years 70.8 339
75+ years 63.4 426
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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.