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 3035400 Average

58.5

Averages

Hide Show

76.0 City-Wide
82.9 Brooklyn
58.5 Tract

Census Tract 3035400

Hide Show

Injury ER Visit Rate Population (2011-2013)
All 58.5 15,423

Sex

Female 54.0 8,669
Male 91.0 6,748

Race/Ethnicity

Asian/Pacific Islander 0.0 0
Black 0.0 124
Hispanic 884.6 156
White 34.0 15,142

Age

0-14 years 175.9 1,097
15-24 years 168.9 817
25-34 years 97.2 1,204
35-44 years 69.9 1,602
45-54 years 53.1 2,336
55-64 years 41.4 2,562
65-74 years 23.0 2,566
75+ years 16.8 3,210
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.