Agrcultural Census 
1.- Clasificación según superficie total
Family labour: spouses and operation managers according to age and sex.
Unidades: persons

	All ages						Under 25 years old						From 25 to 29 years old						From 30 to 34 years old						From 35 to 39 years old						From 40 to 44 years old						From 45 to 49 years old						From 50 to 54 years old						From 55 to 59 years old						From 60 to 64 years old						65 years old and over						
	Spouses			Operation manager spouses			Spouses			Operation manager spouses			Spouses			Operation manager spouses			Spouses			Operation manager spouses			Spouses			Operation manager spouses			Spouses			Operation manager spouses			Spouses			Operation manager spouses			Spouses			Operation manager spouses			Spouses			Operation manager spouses			Spouses			Operation manager spouses			Spouses			Operation manager spouses			
	Both sexes	Males	Females	Both sexes	Males	Females	Both sexes	Males	Females	Both sexes	Males	Females	Both sexes	Males	Females	Both sexes	Males	Females	Both sexes	Males	Females	Both sexes	Males	Females	Both sexes	Males	Females	Both sexes	Males	Females	Both sexes	Males	Females	Both sexes	Males	Females	Both sexes	Males	Females	Both sexes	Males	Females	Both sexes	Males	Females	Both sexes	Males	Females	Both sexes	Males	Females	Both sexes	Males	Females	Both sexes	Males	Females	Both sexes	Males	Females	Both sexes	Males	Females	Both sexes	Males	Females	
All operations	6.543	2.491	4.052	818	746	72	11	..	11	..	..	..	38	6	32	1	1	..	153	40	113	6	5	1	319	91	228	26	21	5	485	148	337	36	32	4	684	215	469	66	60	6	954	329	625	98	86	12	966	341	625	119	106	13	1.033	388	645	140	129	11	1.900	933	967	326	306	20	
Operations without lands	3	1	2	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	2	1	1	..	..	..	1	..	1	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	
Operations with lands	6.540	2.490	4.050	818	746	72	11	..	11	..	..	..	38	6	32	1	1	..	153	40	113	6	5	1	319	91	228	26	21	5	485	148	337	36	32	4	684	215	469	66	60	6	952	328	624	98	86	12	965	341	624	119	106	13	1.033	388	645	140	129	11	1.900	933	967	326	306	20	
>=0.1 to < 0.2	146	57	89	18	17	1	..	..	..	..	..	..	..	..	..	..	..	..	2	..	2	..	..	..	7	..	7	..	..	..	15	5	10	1	1	..	11	4	7	1	1	..	21	8	13	3	3	..	16	5	11	1	..	1	21	12	9	6	6	..	53	23	30	6	6	..	
>=0.2 to < 0.5	457	154	303	68	60	8	1	..	1	..	..	..	5	1	4	..	..	..	13	2	11	1	..	1	22	7	15	4	4	..	48	17	31	3	3	..	52	12	40	7	6	1	70	27	43	14	12	2	54	13	41	8	6	2	70	19	51	6	6	..	122	56	66	25	23	2	
>=0.5 to < 1	672	255	417	81	71	10	4	..	4	..	..	..	6	2	4	..	..	..	16	5	11	..	..	..	36	6	30	3	2	1	66	22	44	5	4	1	70	24	46	5	5	..	83	30	53	5	5	..	89	35	54	14	12	2	107	41	66	16	13	3	195	90	105	33	30	3	
>=1 to < 2	912	415	497	145	137	8	..	..	..	..	..	..	6	1	5	..	..	..	31	15	16	..	..	..	62	23	39	10	10	..	71	24	47	9	9	..	83	30	53	7	6	1	124	51	73	12	10	2	131	54	77	22	22	..	141	61	80	24	20	4	263	156	107	61	60	1	
>=2 to < 3	650	294	356	96	91	5	..	..	..	..	..	..	3	..	3	..	..	..	11	2	9	..	..	..	29	10	19	3	3	..	42	14	28	4	3	1	64	30	34	3	3	..	86	35	51	10	9	1	93	34	59	12	12	..	105	46	59	22	21	1	217	123	94	42	40	2	
>=3 to < 4	515	203	312	77	65	12	..	..	..	..	..	..	1	1	..	..	..	..	6	2	4	..	..	..	18	6	12	2	1	1	38	13	25	3	2	1	48	19	29	8	7	1	78	22	56	4	3	1	85	38	47	12	9	3	84	42	42	20	19	1	157	60	97	28	24	4	
>=4 to < 5	428	169	259	53	47	6	1	..	1	..	..	..	2	1	1	1	1	..	5	1	4	..	..	..	15	4	11	1	..	1	28	10	18	2	2	..	31	7	24	5	3	2	60	21	39	5	4	1	66	23	43	5	4	1	83	35	48	9	9	..	137	67	70	25	24	1	
>=5 to < 10	1.170	419	751	114	102	12	1	..	1	..	..	..	3	..	3	..	..	..	26	6	20	1	1	..	34	14	20	2	1	1	62	19	43	3	3	..	132	41	91	12	12	..	169	61	108	19	17	2	178	53	125	17	14	3	185	56	129	15	13	2	380	169	211	45	41	4	
>=10 to < 20	803	262	541	92	87	5	2	..	2	..	..	..	5	..	5	..	..	..	14	2	12	..	..	..	47	12	35	..	..	..	59	9	50	4	3	1	79	23	56	9	9	..	133	44	89	13	12	1	126	40	86	16	15	1	135	43	92	16	16	..	203	89	114	34	32	2	
>=20 to < 30	278	104	174	25	22	3	..	..	..	..	..	..	2	..	2	..	..	..	6	..	6	..	..	..	20	5	15	1	..	1	17	7	10	..	..	..	30	7	23	2	2	..	34	9	25	5	3	2	51	23	28	6	6	..	43	14	29	4	4	..	75	39	36	7	7	..	
>=30 to < 50	232	73	159	22	20	2	..	..	..	..	..	..	1	..	1	..	..	..	8	1	7	1	1	..	13	2	11	..	..	..	14	3	11	1	1	..	39	11	28	4	3	1	42	10	32	5	5	..	34	7	27	3	3	..	31	12	19	1	1	..	50	27	23	7	6	1	
>=50 to < 70	94	21	73	6	6	..	1	..	1	..	..	..	1	..	1	..	..	..	4	..	4	..	..	..	6	1	5	..	..	..	8	1	7	..	..	..	17	2	15	1	1	..	12	3	9	1	1	..	20	7	13	2	2	..	12	2	10	..	..	..	13	5	8	2	2	..	
>=70 to < 100	71	24	47	7	7	..	1	..	1	..	..	..	2	..	2	..	..	..	3	..	3	..	..	..	4	..	4	..	..	..	4	2	2	1	1	..	13	3	10	1	1	..	11	1	10	..	..	..	9	3	6	1	1	..	5	1	4	..	..	..	19	14	5	4	4	..	
>=100 to < 150	46	15	31	4	4	..	..	..	..	..	..	..	..	..	..	..	..	..	3	2	1	1	1	..	1	..	1	..	..	..	3	2	1	..	..	..	9	1	8	..	..	..	15	2	13	1	1	..	6	3	3	..	..	..	5	1	4	1	1	..	4	4	..	1	1	..	
>=150 to < 200	20	6	14	2	2	..	..	..	..	..	..	..	1	..	1	..	..	..	1	..	1	..	..	..	1	..	1	..	..	..	2	..	2	..	..	..	2	1	1	1	1	..	4	1	3	..	..	..	4	1	3	..	..	..	3	2	1	..	..	..	2	1	1	1	1	..	
>=200 to < 300	26	12	14	5	5	..	..	..	..	..	..	..	..	..	..	..	..	..	3	1	2	1	1	..	1	..	1	..	..	..	4	..	4	..	..	..	2	..	2	..	..	..	7	3	4	1	1	..	2	1	1	..	..	..	1	1	..	..	..	..	6	6	..	3	3	..	
>=300 to < 500	14	6	8	3	3	..	..	..	..	..	..	..	..	..	..	..	..	..	1	1	..	1	1	..	3	1	2	..	..	..	1	..	1	..	..	..	2	..	2	..	..	..	3	..	3	..	..	..	1	1	..	..	..	..	..	..	..	..	..	..	3	3	..	2	2	..	
>=500 to < 1000	6	1	5	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	3	..	3	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	2	..	2	..	..	..	1	1	..	..	..	..	
>= 1000	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	..	
Notas:
Fuente: National Statistics Institute