European Health Survey  
ACCIDENT RATE
Type of care received after the accident that took place in the last 12 months, according to sex and professional status. Population aged 16 years old and over, working as a wage-earner or self-employed worker, that has had some accident in the last 12 months
Units: thousands of persons

	Total	Consulted a doctor or nurse	Went to an Accident and Emergency department	No consultation or intervention was necessary	No data recorded	
Both sexes	
    Total	3,375.9	680.8	1,923.1	855.0	4.7	
    Wage-earner (employee)	2,938.4	619.0	1,642.7	755.5	4.7	
    Businessperson with employees	115.8	16.1	66.1	33.5	0.0	
    Businessperson without employees	226.3	34.4	143.1	50.7	0.0	
    Member of a cooperative	4.2	..	..	..	..	
    Worker in the family business	42.7	3.3	32.0	7.4	0.0	
    Another situation	48.4	3.7	39.2	7.9	0.0	
    No data recorded	0.0	..	..	..	..	
Males	
    Total	1,767.6	395.9	1,011.6	401.9	4.7	
    Wage-earner (employee)	1,530.9	360.3	861.5	349.0	4.7	
    Businessperson with employees	81.8	13.7	49.4	18.8	0.0	
    Businessperson without employees	118.3	16.9	78.1	25.1	0.0	
    Member of a cooperative	4.2	..	..	..	..	
    Worker in the family business	19.4	..	..	..	..	
    Another situation	13.0	..	..	..	..	
    No data recorded	0.0	..	..	..	..	
Females	
    Total	1,608.3	284.9	911.6	453.2	0.0	
    Wage-earner (employee)	1,407.5	258.7	781.2	406.5	0.0	
    Businessperson with employees	34.0	2.4	16.8	14.7	0.0	
    Businessperson without employees	108.0	17.5	65.0	25.5	0.0	
    Member of a cooperative	0.0	..	..	..	..	
    Worker in the family business	23.3	..	..	..	..	
    Another situation	35.5	..	..	..	..	
    No data recorded	0.0	..	..	..	..	
Notes:
The symbol '.' shall be deemed as data which is not collected
 The symbol '..' shall be deemed as data which cannot be given due to an insufficient sample
 The symbol '...' shall be deemed as an error of division by zero
 The data corresponding to cells with fewer than 35 thousand persons must be considered with caution, as they may be affected by a high degree of sampling error.
Source: National Statistics Institute