Agrcultural Census 2.- Clasificación según superficie agrícola utilizada Permanent paid labour:no. of persons according to age, sex and 25% time worked Unidades: ? Percentage of time worked < 25 % 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 Number of Operations Both sexes Males Females Number of Operations Both sexes Males Females Number of Operations Both sexes Males Females Number of Operations Both sexes Males Females Number of Operations Both sexes Males Females Number of Operations Both sexes Males Females Number of Operations Both sexes Males Females Number of Operations Both sexes Males Females Number of Operations Both sexes Males Females Number of Operations Both sexes Males Females Number of Operations Both sexes Males Females Total operations 263 301 276 25 2 2 1 1 8 9 8 1 13 31 29 2 15 21 19 2 23 32 25 7 49 58 57 1 43 49 44 5 23 32 29 3 41 42 40 2 24 25 24 1 without land .. 0 0 0 .. 0 0 0 .. 0 0 0 .. 0 0 0 .. 0 0 0 .. 0 0 0 .. 0 0 0 .. 0 0 0 .. 0 0 0 .. 0 0 0 .. 0 0 0 with lands 263 301 276 25 2 2 1 1 8 9 8 1 13 31 29 2 15 21 19 2 23 32 25 7 49 58 57 1 43 49 44 5 23 32 29 3 41 42 40 2 24 25 24 1 without UAA 42 42 41 1 .. 0 0 0 1 1 1 0 2 2 2 0 3 3 2 1 4 4 4 0 14 14 14 0 8 8 8 0 6 6 6 0 2 2 2 0 2 2 2 0 with UAA 221 259 235 24 2 2 1 1 7 8 7 1 11 29 27 2 12 18 17 1 19 28 21 7 35 44 43 1 35 41 36 5 17 26 23 3 39 40 38 2 22 23 22 1 > 0.0 - < 0.2 4 5 5 0 .. 0 0 0 .. 0 0 0 .. 0 0 0 1 1 1 0 .. 0 0 0 .. 0 0 0 1 1 1 0 1 1 1 0 .. 0 0 0 1 2 2 0 >= 0.2 - < 0.5 4 4 4 0 .. 0 0 0 .. 0 0 0 .. 0 0 0 .. 1 1 0 .. 0 0 0 2 2 2 0 1 1 1 0 .. 0 0 0 .. 0 0 0 .. 0 0 0 >= 0.5 - < 1 13 17 16 1 .. 0 0 0 1 2 2 0 .. 0 0 0 1 1 1 0 .. 1 1 0 4 4 4 0 1 1 1 0 2 3 2 1 3 3 3 0 2 2 2 0 >= 1 - < 2 21 21 21 0 .. 0 0 0 1 1 1 0 .. 0 0 0 1 1 1 0 2 2 2 0 1 1 1 0 5 5 5 0 .. 1 1 0 8 8 8 0 2 2 2 0 >= 2 - < 3 20 20 20 0 .. 0 0 0 .. 0 0 0 .. 0 0 0 .. 0 0 0 1 1 1 0 3 3 3 0 4 4 4 0 1 1 1 0 5 5 5 0 6 6 6 0 >= 3 - < 4 16 16 15 1 .. 0 0 0 .. 0 0 0 1 1 1 0 .. 0 0 0 2 2 1 1 3 3 3 0 5 5 5 0 3 3 3 0 2 2 2 0 .. 0 0 0 >= 4 - < 5 18 19 17 2 .. 0 0 0 .. 0 0 0 2 2 2 0 .. 0 0 0 2 3 2 1 2 2 2 0 3 4 3 1 1 1 1 0 6 6 6 0 1 1 1 0 >= 5 - < 10 33 38 34 4 1 1 1 0 3 3 3 0 4 5 5 0 .. 1 1 0 6 6 3 3 6 6 6 0 4 5 5 0 1 2 2 0 6 6 6 0 3 3 2 1 >= 10 - < 20 31 41 33 8 .. 0 0 0 .. 0 0 0 1 11 10 1 4 4 4 0 2 2 2 0 4 5 4 1 6 9 5 4 1 2 2 0 5 5 3 2 3 3 3 0 >= 20 - < 30 14 17 16 1 .. 0 0 0 .. 0 0 0 1 3 3 0 .. 0 0 0 2 6 5 1 1 1 1 0 3 3 3 0 3 3 3 0 1 1 1 0 .. 0 0 0 >= 30 - < 50 19 21 16 5 1 1 0 1 1 1 0 1 2 3 3 0 3 4 3 1 2 3 2 1 2 5 5 0 .. 0 0 0 2 2 1 1 .. 0 0 0 2 2 2 0 >= 50 - < 70 9 10 10 0 .. 0 0 0 .. 0 0 0 .. 2 2 0 1 1 1 0 .. 1 1 0 3 4 4 0 .. 0 0 0 .. 0 0 0 1 1 1 0 1 1 1 0 >= 70 - < 100 11 22 20 2 .. 0 0 0 .. 0 0 0 .. 2 1 1 .. 3 3 0 .. 1 1 0 2 6 6 0 .. 0 0 0 1 6 5 1 2 3 3 0 1 1 1 0 >= 100 - < 150 4 4 4 0 .. 0 0 0 .. 0 0 0 .. 0 0 0 1 1 1 0 .. 0 0 0 .. 0 0 0 1 2 2 0 1 1 1 0 .. 0 0 0 .. 0 0 0 >= 150 - < 200 2 2 2 0 .. 0 0 0 1 1 1 0 .. 0 0 0 .. 0 0 0 .. 0 0 0 1 1 1 0 .. 0 0 0 .. 0 0 0 .. 0 0 0 .. 0 0 0 >= 200 - < 300 2 2 2 0 .. 0 0 0 .. 0 0 0 .. 0 0 0 .. 0 0 0 .. 0 0 0 1 1 1 0 1 1 1 0 .. 0 0 0 .. 0 0 0 .. 0 0 0 >= 300 - < 500 .. 0 0 0 .. 0 0 0 .. 0 0 0 .. 0 0 0 .. 0 0 0 .. 0 0 0 .. 0 0 0 .. 0 0 0 .. 0 0 0 .. 0 0 0 .. 0 0 0 >= 500 - < 1,000 .. 0 0 0 .. 0 0 0 .. 0 0 0 .. 0 0 0 .. 0 0 0 .. 0 0 0 .. 0 0 0 .. 0 0 0 .. 0 0 0 .. 0 0 0 .. 0 0 0 >= 1,000 .. 0 0 0 .. 0 0 0 .. 0 0 0 .. 0 0 0 .. 0 0 0 .. 0 0 0 .. 0 0 0 .. 0 0 0 .. 0 0 0 .. 0 0 0 .. 0 0 0 Notas: Fuente: National Statistics Institute