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 3049500 Average

42.5

Averages

Hide Show

76.0 City-Wide
82.9 Brooklyn
42.5 Tract

Census Tract 3049500

Hide Show

Injury ER Visit Rate Population (2011-2013)
All 42.5 8,021

Sex

Female 42.4 4,365
Male 65.6 3,656

Race/Ethnicity

Asian/Pacific Islander 42.3 378
Black 0.0 11
Hispanic 45.4 2,069
White 13.5 5,323

Age

0-14 years 137.0 540
15-24 years 56.9 844
25-34 years 20.9 2,965
35-44 years 34.6 1,185
45-54 years 59.3 928
55-64 years 51.9 694
65-74 years 43.1 371
75+ years 19.4 463
Download Table (.CSV)

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.