Health status and chronic diseases 
Population by sex, employment situation of the main breadwinner and  valuation of status of health perceived.
Units: thousands of persons and percentages

	Total	very good	Good	Regular	Poor	Very poor	
ABSOLUTE FIGURES	
    Both genders	
        Total	41,923.5	5,607.8	24,287.7	8,825.7	2,420.1	782.1	
        Employed	28,352.4	4,545.8	17,984.9	4,592.0	966.1	263.7	
        Unemployed	1,676.6	208.3	946.3	377.4	91.4	53.1	
        Inactive	11,894.5	853.7	5,356.5	3,856.3	1,362.7	465.3	
    Males	
        Total	20,620.2	3,037.4	12,567.1	3,815.0	918.6	282.1	
        Employed	14,372.8	2,439.5	9,475.9	1,976.3	373.5	107.5	
        Unemployed	838.3	114.2	447.6	210.2	44.9	21.4	
        Inactive	5,409.1	483.7	2,643.6	1,628.4	500.2	153.2	
    Females	
        Total	21,303.3	2,570.5	11,720.6	5,010.8	1,501.5	500.0	
        Employed	13,979.7	2,106.3	8,509.0	2,615.6	592.5	156.2	
        Unemployed	838.3	94.2	498.7	167.2	46.5	31.7	
        Inactive	6,485.3	370.0	2,712.9	2,227.9	862.5	312.1	
RELATIVE FIGURES	
    Both genders	
        Total	100.00	13.38	57.93	21.05	5.77	1.87	
        Employed	100.00	16.03	63.43	16.20	3.41	0.93	
        Unemployed	100.00	12.43	56.44	22.51	5.45	3.17	
        Inactive	100.00	7.18	45.03	32.42	11.46	3.91	
    Males	
        Total	100.00	14.73	60.95	18.50	4.45	1.37	
        Employed	100.00	16.97	65.93	13.75	2.60	0.75	
        Unemployed	100.00	13.62	53.39	25.08	5.36	2.55	
        Inactive	100.00	8.94	48.87	30.10	9.25	2.83	
    Females	
        Total	100.00	12.07	55.02	23.52	7.05	2.35	
        Employed	100.00	15.07	60.87	18.71	4.24	1.12	
        Unemployed	100.00	11.23	59.49	19.95	5.55	3.78	
        Inactive	100.00	5.71	41.83	34.35	13.30	4.81	
Notes:
1) It refers to last 12 months  
  
 The data about to crossing of status of health 'Poor' with 'Unemployed'  for males and females with must be viewed with caution because  they may be affected by high sample errors  
    
1) ~'valuation of status of health perceived,Very poor'~This data must be viewed with caution because they may be  affected by high sample errors
Source: National Statistics Institute and Ministry of Health and Consumption