Persons Aged over 10 by Sex, Age and 1911 Occupational Order

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Data for 1911:

Sex = Male 1911 Occupation Tables Age Groups
1911 Occupational Classification 10-12 13 14 15 16 17 18 19 20-24 25-34 35-44 45-54 55-64 65 up
Government 0 Show data context 7 Show data context 46 Show data context 60 Show data context 28 Show data context 31 Show data context 42 Show data context 37 Show data context 255 Show data context 598 Show data context 463 Show data context 317 Show data context 107 Show data context 61 Show data context
Defence 0 Show data context 0 Show data context 0 Show data context 7 Show data context 7 Show data context 19 Show data context 170 Show data context 142 Show data context 308 Show data context 267 Show data context 157 Show data context 34 Show data context 27 Show data context 14 Show data context
Professional Occupations 1 Show data context 3 Show data context 17 Show data context 28 Show data context 64 Show data context 70 Show data context 64 Show data context 70 Show data context 428 Show data context 930 Show data context 763 Show data context 675 Show data context 371 Show data context 196 Show data context
Domestic Services 1 Show data context 6 Show data context 59 Show data context 87 Show data context 117 Show data context 126 Show data context 113 Show data context 119 Show data context 585 Show data context 1,114 Show data context 855 Show data context 605 Show data context 389 Show data context 182 Show data context
Commercial Occupations 0 Show data context 2 Show data context 32 Show data context 81 Show data context 123 Show data context 141 Show data context 142 Show data context 157 Show data context 639 Show data context 1,177 Show data context 823 Show data context 582 Show data context 313 Show data context 139 Show data context
Transport 49 Show data context 138 Show data context 698 Show data context 574 Show data context 386 Show data context 323 Show data context 274 Show data context 316 Show data context 1,705 Show data context 3,825 Show data context 2,951 Show data context 1,961 Show data context 1,302 Show data context 439 Show data context
Agriculture 1 Show data context 86 Show data context 563 Show data context 789 Show data context 921 Show data context 948 Show data context 892 Show data context 820 Show data context 3,392 Show data context 4,744 Show data context 3,932 Show data context 3,570 Show data context 2,559 Show data context 2,122 Show data context
Mines and Quarries
Metals, Machines 0 Show data context 25 Show data context 164 Show data context 192 Show data context 252 Show data context 249 Show data context 224 Show data context 276 Show data context 1,455 Show data context 2,952 Show data context 2,155 Show data context 1,425 Show data context 941 Show data context 305 Show data context
Jewelry, Instruments 0 Show data context 38 Show data context 268 Show data context 536 Show data context 651 Show data context 778 Show data context 864 Show data context 943 Show data context 4,167 Show data context 8,384 Show data context 6,872 Show data context 4,309 Show data context 2,434 Show data context 953 Show data context
Building 0 Show data context 1 Show data context 1 Show data context 2 Show data context 13 Show data context 17 Show data context 13 Show data context 14 Show data context 59 Show data context 111 Show data context 94 Show data context 95 Show data context 117 Show data context 48 Show data context
Wood, Furniture 0 Show data context 7 Show data context 68 Show data context 155 Show data context 209 Show data context 218 Show data context 213 Show data context 231 Show data context 1,346 Show data context 2,962 Show data context 2,000 Show data context 1,680 Show data context 1,270 Show data context 630 Show data context
Brick, Cement 0 Show data context 1 Show data context 10 Show data context 25 Show data context 31 Show data context 40 Show data context 29 Show data context 26 Show data context 165 Show data context 343 Show data context 272 Show data context 207 Show data context 146 Show data context 96 Show data context
Chemicals 0 Show data context 0 Show data context 21 Show data context 27 Show data context 25 Show data context 31 Show data context 27 Show data context 25 Show data context 126 Show data context 194 Show data context 140 Show data context 101 Show data context 59 Show data context 27 Show data context
Skins, Leather 0 Show data context 0 Show data context 4 Show data context 12 Show data context 13 Show data context 20 Show data context 25 Show data context 31 Show data context 101 Show data context 173 Show data context 192 Show data context 106 Show data context 68 Show data context 23 Show data context
Paper, Prints 0 Show data context 1 Show data context 2 Show data context 7 Show data context 6 Show data context 8 Show data context 6 Show data context 5 Show data context 39 Show data context 85 Show data context 82 Show data context 47 Show data context 49 Show data context 32 Show data context
Textile Fabrics 0 Show data context 1 Show data context 20 Show data context 42 Show data context 36 Show data context 34 Show data context 35 Show data context 34 Show data context 123 Show data context 213 Show data context 181 Show data context 126 Show data context 62 Show data context 37 Show data context
Dress 0 Show data context 1 Show data context 22 Show data context 38 Show data context 60 Show data context 53 Show data context 60 Show data context 48 Show data context 145 Show data context 268 Show data context 221 Show data context 155 Show data context 115 Show data context 49 Show data context
Food, Drink 5 Show data context 13 Show data context 54 Show data context 92 Show data context 93 Show data context 106 Show data context 101 Show data context 75 Show data context 388 Show data context 750 Show data context 596 Show data context 516 Show data context 345 Show data context 312 Show data context
Gas, Water 1 Show data context 12 Show data context 133 Show data context 213 Show data context 265 Show data context 260 Show data context 277 Show data context 281 Show data context 1,073 Show data context 2,054 Show data context 1,709 Show data context 1,150 Show data context 783 Show data context 381 Show data context
Other and Undefined 0 Show data context 0 Show data context 2 Show data context 4 Show data context 2 Show data context 12 Show data context 7 Show data context 8 Show data context 67 Show data context 219 Show data context 229 Show data context 178 Show data context 116 Show data context 80 Show data context
Unoccupied 44 Show data context 49 Show data context 61 Show data context 92 Show data context 119 Show data context 133 Show data context 138 Show data context 143 Show data context 699 Show data context 1,672 Show data context 1,604 Show data context 1,251 Show data context 882 Show data context 515 Show data context
Sex = Female 1911 Occupation Tables Age Groups
1911 Occupational Classification 10-12 13 14 15 16 17 18 19 20-24 25-34 35-44 45-54 55-64 65 up
Government 0 Show data context 0 Show data context 2 Show data context 2 Show data context 10 Show data context 14 Show data context 14 Show data context 12 Show data context 97 Show data context 125 Show data context 84 Show data context 70 Show data context 28 Show data context 16 Show data context
Defence
Professional Occupations 0 Show data context 1 Show data context 7 Show data context 8 Show data context 18 Show data context 69 Show data context 89 Show data context 120 Show data context 767 Show data context 1,105 Show data context 568 Show data context 409 Show data context 208 Show data context 70 Show data context
Domestic Services 3 Show data context 67 Show data context 575 Show data context 931 Show data context 1,149 Show data context 1,318 Show data context 1,377 Show data context 1,303 Show data context 4,822 Show data context 3,833 Show data context 1,989 Show data context 1,373 Show data context 868 Show data context 409 Show data context
Commercial Occupations 0 Show data context 0 Show data context 5 Show data context 20 Show data context 29 Show data context 35 Show data context 51 Show data context 31 Show data context 167 Show data context 131 Show data context 41 Show data context 19 Show data context 9 Show data context 6 Show data context
Transport 2 Show data context 1 Show data context 3 Show data context 2 Show data context 6 Show data context 4 Show data context 4 Show data context 5 Show data context 15 Show data context 25 Show data context 7 Show data context 11 Show data context 20 Show data context 9 Show data context
Agriculture 1 Show data context 7 Show data context 76 Show data context 143 Show data context 143 Show data context 137 Show data context 146 Show data context 150 Show data context 685 Show data context 744 Show data context 303 Show data context 227 Show data context 260 Show data context 231 Show data context
Mines and Quarries
Metals, Machines 0 Show data context 0 Show data context 0 Show data context 2 Show data context 0 Show data context 0 Show data context 0 Show data context 0 Show data context 3 Show data context 2 Show data context 2 Show data context 6 Show data context 2 Show data context 1 Show data context
Jewelry, Instruments 0 Show data context 0 Show data context 1 Show data context 3 Show data context 4 Show data context 1 Show data context 2 Show data context 5 Show data context 12 Show data context 15 Show data context 9 Show data context 7 Show data context 11 Show data context 1 Show data context
Building 0 Show data context 0 Show data context 0 Show data context 1 Show data context 2 Show data context 3 Show data context 2 Show data context 3 Show data context 10 Show data context 18 Show data context 10 Show data context 13 Show data context 12 Show data context 3 Show data context
Wood, Furniture 0 Show data context 0 Show data context 0 Show data context 0 Show data context 0 Show data context 0 Show data context 0 Show data context 0 Show data context 0 Show data context 0 Show data context 0 Show data context 4 Show data context 4 Show data context 5 Show data context
Brick, Cement 0 Show data context 0 Show data context 0 Show data context 2 Show data context 2 Show data context 3 Show data context 11 Show data context 4 Show data context 21 Show data context 25 Show data context 19 Show data context 14 Show data context 15 Show data context 7 Show data context
Chemicals 0 Show data context 0 Show data context 1 Show data context 0 Show data context 0 Show data context 1 Show data context 4 Show data context 3 Show data context 15 Show data context 16 Show data context 8 Show data context 8 Show data context 6 Show data context 4 Show data context
Skins, Leather 0 Show data context 0 Show data context 0 Show data context 0 Show data context 2 Show data context 2 Show data context 1 Show data context 6 Show data context 11 Show data context 8 Show data context 7 Show data context 7 Show data context 3 Show data context 0 Show data context
Paper, Prints 0 Show data context 0 Show data context 0 Show data context 0 Show data context 1 Show data context 1 Show data context 0 Show data context 1 Show data context 4 Show data context 5 Show data context 1 Show data context 4 Show data context 0 Show data context 2 Show data context
Textile Fabrics 0 Show data context 0 Show data context 4 Show data context 18 Show data context 19 Show data context 31 Show data context 23 Show data context 25 Show data context 103 Show data context 60 Show data context 42 Show data context 24 Show data context 16 Show data context 9 Show data context
Dress 0 Show data context 0 Show data context 21 Show data context 47 Show data context 54 Show data context 69 Show data context 54 Show data context 61 Show data context 227 Show data context 207 Show data context 108 Show data context 78 Show data context 41 Show data context 20 Show data context
Food, Drink 0 Show data context 5 Show data context 107 Show data context 235 Show data context 269 Show data context 311 Show data context 299 Show data context 250 Show data context 1,052 Show data context 1,032 Show data context 603 Show data context 405 Show data context 237 Show data context 132 Show data context
Gas, Water 0 Show data context 3 Show data context 36 Show data context 60 Show data context 108 Show data context 110 Show data context 129 Show data context 127 Show data context 642 Show data context 921 Show data context 961 Show data context 979 Show data context 737 Show data context 520 Show data context
Other and Undefined
Unoccupied 0 Show data context 0 Show data context 3 Show data context 13 Show data context 21 Show data context 21 Show data context 38 Show data context 18 Show data context 131 Show data context 167 Show data context 120 Show data context 133 Show data context 112 Show data context 58 Show data context
nCube definition Click on the triangles for all about a particular number
Date: Source:
1911 1911 Census of England and Wales, Occupations Vol 2, Table 13 , 'Occupations (Condensed List) of Males and Females at ages 10 years and upwards; in England and Wales, the aggregates of Urban and Rural Districts respectively in England and Wales, Administrative Counties, County Boroughs, Metropolitan Boroughs, Urban Districts of which the population exceeded 50,000 persons, and the aggregates of Rural Districts in Administrative Counties, 1911'

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nCube definition


All males and females at ages 10 years and upwards, categorised by gender, by 14 age groups, and by 23 occupational 'Orders'. This is the information provided by the 1911 Census's Occupation Tables. The occupational categories include Order 23, 'Without Specified Occupations or Unoccupied'.

How to reference this page:

GB Historical GIS / University of Portsmouth, North Riding AdmC through time | Industry Statistics | Persons Aged over 10 by Sex, Age and 1911 Occupational Order, A Vision of Britain through Time.

URL: http://www.visionofbritain.org.uk/unit/10186110/cube/OCC_ORD1911_AGESEX

Date accessed: 24th October 2019