Persons Aged over 10 by Sex, Age & 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 2 Show data context 50 Show data context 82 Show data context 38 Show data context 23 Show data context 21 Show data context 36 Show data context 230 Show data context 694 Show data context 804 Show data context 403 Show data context 150 Show data context 58 Show data context
Defence 0 Show data context 0 Show data context 0 Show data context 0 Show data context 2 Show data context 51 Show data context 56 Show data context 25 Show data context 91 Show data context 157 Show data context 79 Show data context 29 Show data context 20 Show data context 40 Show data context
Professional Occupations 0 Show data context 0 Show data context 26 Show data context 42 Show data context 57 Show data context 54 Show data context 74 Show data context 60 Show data context 364 Show data context 910 Show data context 782 Show data context 668 Show data context 379 Show data context 231 Show data context
Domestic Services 2 Show data context 2 Show data context 24 Show data context 35 Show data context 56 Show data context 44 Show data context 38 Show data context 40 Show data context 212 Show data context 456 Show data context 385 Show data context 324 Show data context 237 Show data context 112 Show data context
Commercial Occupations 0 Show data context 2 Show data context 120 Show data context 251 Show data context 333 Show data context 369 Show data context 386 Show data context 348 Show data context 1,547 Show data context 2,520 Show data context 1,924 Show data context 1,199 Show data context 694 Show data context 290 Show data context
Transport 36 Show data context 116 Show data context 694 Show data context 707 Show data context 613 Show data context 556 Show data context 531 Show data context 439 Show data context 2,079 Show data context 4,584 Show data context 3,902 Show data context 2,578 Show data context 1,441 Show data context 451 Show data context
Agriculture 0 Show data context 1 Show data context 5 Show data context 22 Show data context 25 Show data context 23 Show data context 30 Show data context 25 Show data context 123 Show data context 219 Show data context 262 Show data context 252 Show data context 261 Show data context 201 Show data context
Mines & Quarries
Metals, Machines 0 Show data context 1 Show data context 9 Show data context 18 Show data context 35 Show data context 47 Show data context 53 Show data context 66 Show data context 403 Show data context 643 Show data context 500 Show data context 359 Show data context 257 Show data context 91 Show data context
Jewelry, Instruments 0 Show data context 2 Show data context 164 Show data context 283 Show data context 337 Show data context 356 Show data context 377 Show data context 346 Show data context 1,693 Show data context 2,867 Show data context 2,022 Show data context 1,369 Show data context 804 Show data context 317 Show data context
Building 0 Show data context 0 Show data context 19 Show data context 28 Show data context 35 Show data context 31 Show data context 36 Show data context 19 Show data context 113 Show data context 193 Show data context 177 Show data context 125 Show data context 90 Show data context 32 Show data context
Wood, Furniture 0 Show data context 2 Show data context 35 Show data context 75 Show data context 119 Show data context 130 Show data context 140 Show data context 151 Show data context 773 Show data context 2,063 Show data context 2,185 Show data context 1,715 Show data context 1,041 Show data context 564 Show data context
Brick, Cement 1 Show data context 0 Show data context 64 Show data context 127 Show data context 138 Show data context 126 Show data context 127 Show data context 126 Show data context 559 Show data context 1,083 Show data context 852 Show data context 645 Show data context 399 Show data context 225 Show data context
Chemicals 0 Show data context 0 Show data context 15 Show data context 37 Show data context 26 Show data context 35 Show data context 32 Show data context 31 Show data context 123 Show data context 200 Show data context 197 Show data context 128 Show data context 89 Show data context 37 Show data context
Skins, Leather 0 Show data context 4 Show data context 63 Show data context 111 Show data context 81 Show data context 74 Show data context 67 Show data context 53 Show data context 302 Show data context 687 Show data context 539 Show data context 370 Show data context 199 Show data context 73 Show data context
Paper, Prints 0 Show data context 0 Show data context 7 Show data context 17 Show data context 24 Show data context 26 Show data context 33 Show data context 27 Show data context 151 Show data context 267 Show data context 280 Show data context 207 Show data context 139 Show data context 77 Show data context
Textile Fabrics 1 Show data context 6 Show data context 229 Show data context 253 Show data context 250 Show data context 202 Show data context 199 Show data context 165 Show data context 642 Show data context 940 Show data context 660 Show data context 376 Show data context 236 Show data context 86 Show data context
Dress 0 Show data context 2 Show data context 33 Show data context 60 Show data context 64 Show data context 41 Show data context 53 Show data context 49 Show data context 182 Show data context 276 Show data context 219 Show data context 159 Show data context 102 Show data context 49 Show data context
Food, Drink 6 Show data context 6 Show data context 121 Show data context 177 Show data context 224 Show data context 211 Show data context 170 Show data context 190 Show data context 735 Show data context 1,598 Show data context 1,708 Show data context 1,110 Show data context 624 Show data context 366 Show data context
Gas, Water 1 Show data context 20 Show data context 293 Show data context 396 Show data context 407 Show data context 410 Show data context 468 Show data context 404 Show data context 1,741 Show data context 3,223 Show data context 2,590 Show data context 1,725 Show data context 904 Show data context 374 Show data context
Other & Undefined 0 Show data context 0 Show data context 2 Show data context 3 Show data context 5 Show data context 5 Show data context 12 Show data context 11 Show data context 74 Show data context 267 Show data context 366 Show data context 281 Show data context 186 Show data context 73 Show data context
Unoccupied 25 Show data context 41 Show data context 55 Show data context 85 Show data context 100 Show data context 108 Show data context 147 Show data context 115 Show data context 601 Show data context 1,343 Show data context 1,249 Show data context 1,002 Show data context 705 Show data context 329 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 0 Show data context 4 Show data context 15 Show data context 10 Show data context 17 Show data context 16 Show data context 106 Show data context 138 Show data context 68 Show data context 37 Show data context 22 Show data context 3 Show data context
Defence
Professional Occupations 0 Show data context 0 Show data context 9 Show data context 13 Show data context 24 Show data context 46 Show data context 78 Show data context 97 Show data context 831 Show data context 1,362 Show data context 794 Show data context 524 Show data context 284 Show data context 146 Show data context
Domestic Services 1 Show data context 42 Show data context 334 Show data context 500 Show data context 653 Show data context 803 Show data context 874 Show data context 912 Show data context 3,885 Show data context 3,791 Show data context 2,347 Show data context 1,744 Show data context 1,125 Show data context 479 Show data context
Commercial Occupations 0 Show data context 0 Show data context 21 Show data context 66 Show data context 99 Show data context 123 Show data context 148 Show data context 112 Show data context 510 Show data context 347 Show data context 102 Show data context 32 Show data context 10 Show data context 2 Show data context
Transport 1 Show data context 1 Show data context 8 Show data context 7 Show data context 11 Show data context 13 Show data context 9 Show data context 18 Show data context 35 Show data context 19 Show data context 9 Show data context 4 Show data context 7 Show data context 3 Show data context
Agriculture 0 Show data context 0 Show data context 0 Show data context 0 Show data context 0 Show data context 2 Show data context 1 Show data context 2 Show data context 13 Show data context 14 Show data context 14 Show data context 21 Show data context 13 Show data context 9 Show data context
Mines & Quarries
Metals, Machines 0 Show data context 0 Show data context 1 Show data context 0 Show data context 1 Show data context 0 Show data context 1 Show data context 0 Show data context 5 Show data context 3 Show data context 7 Show data context 10 Show data context 4 Show data context 1 Show data context
Jewelry, Instruments 0 Show data context 0 Show data context 15 Show data context 18 Show data context 24 Show data context 22 Show data context 18 Show data context 20 Show data context 78 Show data context 45 Show data context 26 Show data context 12 Show data context 10 Show data context 3 Show data context
Building 0 Show data context 0 Show data context 3 Show data context 9 Show data context 9 Show data context 10 Show data context 8 Show data context 14 Show data context 36 Show data context 23 Show data context 19 Show data context 8 Show data context 4 Show data context 2 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 0 Show data context 2 Show data context 0 Show data context
Brick, Cement 0 Show data context 0 Show data context 14 Show data context 12 Show data context 15 Show data context 17 Show data context 14 Show data context 18 Show data context 60 Show data context 77 Show data context 64 Show data context 55 Show data context 30 Show data context 14 Show data context
Chemicals 0 Show data context 0 Show data context 9 Show data context 17 Show data context 17 Show data context 20 Show data context 17 Show data context 15 Show data context 52 Show data context 35 Show data context 20 Show data context 8 Show data context 4 Show data context 4 Show data context
Skins, Leather 0 Show data context 1 Show data context 17 Show data context 21 Show data context 29 Show data context 28 Show data context 30 Show data context 33 Show data context 94 Show data context 62 Show data context 21 Show data context 14 Show data context 1 Show data context 3 Show data context
Paper, Prints 0 Show data context 0 Show data context 1 Show data context 10 Show data context 12 Show data context 7 Show data context 18 Show data context 7 Show data context 42 Show data context 55 Show data context 39 Show data context 22 Show data context 13 Show data context 4 Show data context
Textile Fabrics 1 Show data context 10 Show data context 333 Show data context 426 Show data context 453 Show data context 413 Show data context 413 Show data context 354 Show data context 1,361 Show data context 692 Show data context 183 Show data context 123 Show data context 60 Show data context 13 Show data context
Dress 0 Show data context 1 Show data context 74 Show data context 141 Show data context 138 Show data context 154 Show data context 169 Show data context 160 Show data context 692 Show data context 659 Show data context 297 Show data context 151 Show data context 68 Show data context 28 Show data context
Food, Drink 1 Show data context 9 Show data context 402 Show data context 688 Show data context 727 Show data context 693 Show data context 652 Show data context 603 Show data context 2,846 Show data context 2,814 Show data context 1,644 Show data context 1,106 Show data context 637 Show data context 313 Show data context
Gas, Water 1 Show data context 15 Show data context 478 Show data context 596 Show data context 602 Show data context 717 Show data context 704 Show data context 709 Show data context 2,714 Show data context 2,260 Show data context 1,195 Show data context 811 Show data context 476 Show data context 247 Show data context
Other & Undefined
Unoccupied 0 Show data context 0 Show data context 20 Show data context 34 Show data context 37 Show data context 53 Show data context 50 Show data context 37 Show data context 202 Show data context 221 Show data context 226 Show data context 236 Show data context 148 Show data context 62 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, Bristol CB/MB through time | Industry Statistics | Persons Aged over 10 by Sex, Age & 1911 Occupational Order, A Vision of Britain through Time.

URL: https://www.visionofbritain.org.uk/unit/10153311/cube/OCC_ORD1911_AGESEX

Date accessed: 25th April 2024