European Health Survey  
ACCIDENT RATE
Type of care received after the accident that took place in the last 12 months, according to sex and educational level. Population aged 16 years old and over that has had some accident in the last 12 months
Units: percentage

	Total	Consulted a doctor or nurse	Went to an Accident and Emergency department	No consultation or intervention was necessary	
Both sexes	
    Total	100.00	19.68	57.46	25.48	
    Cannot read or write, or incomplete primary education	100.00	19.04	60.33	22.66	
    Complete primary education	100.00	18.05	57.04	27.12	
    Secondary education, 1st stage	100.00	19.96	61.04	22.16	
    Secondary education, 2nd stage	100.00	23.01	53.27	27.27	
    Advanced professional training or the equivalent	100.00	17.12	57.88	28.24	
    University education	100.00	18.51	56.57	26.44	
Male	
    Total	100.00	21.91	57.43	23.49	
    Cannot read or write, or incomplete primary education	100.00	23.76	66.22	14.36	
    Complete primary education	100.00	18.03	60.60	23.90	
    Secondary education, 1st stage	100.00	21.17	58.92	22.79	
    Secondary education, 2nd stage	100.00	27.06	53.77	22.38	
    Advanced professional training or the equivalent	100.00	13.29	60.13	26.95	
    University education	100.00	22.42	49.58	30.65	
Female	
    Total	100.00	17.50	57.49	27.43	
    Cannot read or write, or incomplete primary education	100.00	17.00	57.78	26.26	
    Complete primary education	100.00	18.07	54.02	29.85	
    Secondary education, 1st stage	100.00	18.09	64.32	21.18	
    Secondary education, 2nd stage	100.00	17.62	52.60	33.78	
    Advanced professional training or the equivalent	100.00	22.27	54.85	29.97	
    University education	100.00	15.07	62.72	22.74	
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