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 1024000 Average

269.3

Averages

Hide Show

76.0 City-Wide
65.8 Manhattan
269.3 Tract

Census Tract 1024000

Hide Show

Injury ER Visit Rate Population (2011-2013)
All 269.3 4,277

Sex

Female 658.3 834
Male 235.5 3,440

Race/Ethnicity

Asian/Pacific Islander 0.0 25
Black 195.5 2,046
Hispanic 359.3 1,311
White 235.1 753

Age

0-14 years 0.0 12
15-24 years 708.7 254
25-34 years 261.7 833
35-44 years 173.2 889
45-54 years 141.0 1,149
55-64 years 139.4 789
65-74 years 307.3 192
75+ years 262.8 156
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.