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 3005602 Average

40.6

Averages

Hide Show

76.0 City-Wide
82.9 Brooklyn
40.6 Tract

Census Tract 3005602

Hide Show

Injury ER Visit Rate Population (2011-2013)
All 40.6 5,375

Sex

Female 36.8 3,072
Male 59.9 2,302

Race/Ethnicity

Asian/Pacific Islander 18.1 553
Black 0.0 26
Hispanic 39.0 1,461
White 25.8 3,252

Age

0-14 years 57.1 823
15-24 years 64.7 402
25-34 years 34.7 1,067
35-44 years 44.3 610
45-54 years 35.0 913
55-64 years 35.2 711
65-74 years 38.0 447
75+ years 17.9 391
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.