Agrcultural Census 
1.- Clasificación según superficie total
Arable crops and fallow land: industrial crops.
Unidades: ?

,Industrial crops,,,,,,Sugar cane,,,,,,Sugar beet,,,,,,Cotton,,,,,,Sunflower,,,,,,Safflower,,,,,,Soya,,,,,,Colza oil and rape,,,,,,Tobacco,,,,,,Hop plant,,,,,,Aromatic and medicinal plants and spices,,,,,,Other industrial crops,,,,,,
,Total,,Dry farming,,Irrigated,,Total,,Dry farming,,Irrigated,,Total,,Dry farming,,Irrigated,,Total,,Dry farming,,Irrigated,,Total,,Dry farming,,Irrigated,,Total,,Dry farming,,Irrigated,,Total,,Dry farming,,Irrigated,,Total,,Dry farming,,Irrigated,,Total,,Dry farming,,Irrigated,,Total,,Dry farming,,Irrigated,,Total,,Dry farming,,Irrigated,,Total,,Dry farming,,Irrigated,,
,Operations,Ha.,Operations,Ha.,Operations,Ha.,Operations,Ha.,Operations,Ha.,Operations,Ha.,Operations,Ha.,Operations,Ha.,Operations,Ha.,Operations,Ha.,Operations,Ha.,Operations,Ha.,Operations,Ha.,Operations,Ha.,Operations,Ha.,Operations,Ha.,Operations,Ha.,Operations,Ha.,Operations,Ha.,Operations,Ha.,Operations,Ha.,Operations,Ha.,Operations,Ha.,Operations,Ha.,Operations,Ha.,Operations,Ha.,Operations,Ha.,Operations,Ha.,Operations,Ha.,Operations,Ha.,Operations,Ha.,Operations,Ha.,Operations,Ha.,Operations,Ha.,Operations,Ha.,Operations,Ha.,
Operations with lands,38,256,9,27,29,230,..,..,..,..,..,..,6,3,2,1,4,2,..,..,..,..,..,..,17,46,3,12,14,34,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,9,199,2,12,7,187,6,9,2,2,4,6,
>=0.1 to < 0.2,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,
>=0.2 to < 0.5,2,0,1,0,1,0,..,..,..,..,..,..,1,0,1,0,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,1,0,..,..,1,0,
>=0.5 to < 1,1,0,..,..,1,0,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,1,0,..,..,1,0,
>=1 to < 2,1,1,..,..,1,1,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,1,1,..,..,1,1,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,
>=2 to < 3,2,5,..,..,2,5,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,1,3,..,..,1,3,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,1,2,..,..,1,2,
>=3 to < 4,1,3,..,..,1,3,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,1,3,..,..,1,3,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,
>=4 to < 5,6,5,1,1,5,5,..,..,..,..,..,..,2,1,1,1,1,0,..,..,..,..,..,..,4,5,..,..,4,5,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,
>=5 to < 10,4,5,2,2,2,3,..,..,..,..,..,..,1,2,..,..,1,2,..,..,..,..,..,..,1,1,..,..,1,1,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,1,1,1,1,..,..,1,1,1,1,..,..,
>=10 to < 20,5,12,..,..,5,12,..,..,..,..,..,..,1,0,..,..,1,0,..,..,..,..,..,..,3,10,..,..,3,10,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,1,2,..,..,1,2,..,..,..,..,..,..,
>=20 to < 30,7,40,1,11,6,29,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,4,23,1,11,3,12,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,3,17,..,..,3,17,..,..,..,..,..,..,
>=30 to < 50,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,
>=50 to < 70,4,62,2,12,2,50,..,..,..,..,..,..,1,0,..,..,1,0,..,..,..,..,..,..,1,1,1,1,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,2,61,1,11,1,50,..,..,..,..,..,..,
>=70 to < 100,4,46,2,2,2,44,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,1,1,1,1,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,1,40,..,..,1,40,2,5,1,1,1,4,
>=100 to < 150,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,
>=150 to < 200,1,79,..,..,1,79,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,1,79,..,..,1,79,..,..,..,..,..,..,
>=200 to < 300,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,
>=300 to < 500,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,
>=500 to < 1000,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,
>= 1000,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,..,
Notas:
Fuente: National Statistics Institute