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 21 Show data context 104 Show data context 135 Show data context 69 Show data context 54 Show data context 48 Show data context 58 Show data context 454 Show data context 1,239 Show data context 1,367 Show data context 759 Show data context 277 Show data context 140 Show data context
Defence 0 Show data context 1 Show data context 1 Show data context 1 Show data context 3 Show data context 54 Show data context 61 Show data context 36 Show data context 133 Show data context 227 Show data context 155 Show data context 110 Show data context 97 Show data context 153 Show data context
Professional Occupations 1 Show data context 2 Show data context 44 Show data context 78 Show data context 114 Show data context 99 Show data context 148 Show data context 124 Show data context 740 Show data context 1,760 Show data context 1,553 Show data context 1,395 Show data context 836 Show data context 487 Show data context
Domestic Services 6 Show data context 54 Show data context 173 Show data context 204 Show data context 276 Show data context 235 Show data context 242 Show data context 227 Show data context 1,139 Show data context 2,071 Show data context 1,652 Show data context 1,278 Show data context 775 Show data context 413 Show data context
Commercial Occupations 0 Show data context 13 Show data context 171 Show data context 326 Show data context 437 Show data context 485 Show data context 555 Show data context 460 Show data context 2,169 Show data context 3,607 Show data context 2,712 Show data context 1,711 Show data context 950 Show data context 400 Show data context
Transport 79 Show data context 340 Show data context 1,219 Show data context 1,132 Show data context 977 Show data context 880 Show data context 794 Show data context 723 Show data context 3,543 Show data context 7,391 Show data context 6,259 Show data context 4,258 Show data context 2,464 Show data context 824 Show data context
Agriculture 2 Show data context 297 Show data context 662 Show data context 747 Show data context 810 Show data context 792 Show data context 699 Show data context 622 Show data context 2,661 Show data context 4,398 Show data context 4,396 Show data context 4,312 Show data context 3,295 Show data context 2,484 Show data context
Mines and Quarries
Metals, Machines 0 Show data context 46 Show data context 166 Show data context 226 Show data context 303 Show data context 316 Show data context 347 Show data context 317 Show data context 1,703 Show data context 2,673 Show data context 2,326 Show data context 1,676 Show data context 1,053 Show data context 418 Show data context
Jewelry, Instruments 0 Show data context 45 Show data context 337 Show data context 526 Show data context 685 Show data context 705 Show data context 724 Show data context 711 Show data context 3,159 Show data context 5,161 Show data context 3,700 Show data context 2,517 Show data context 1,472 Show data context 660 Show data context
Building 0 Show data context 0 Show data context 24 Show data context 49 Show data context 58 Show data context 52 Show data context 53 Show data context 38 Show data context 182 Show data context 313 Show data context 280 Show data context 204 Show data context 140 Show data context 65 Show data context
Wood, Furniture 1 Show data context 14 Show data context 112 Show data context 208 Show data context 257 Show data context 285 Show data context 272 Show data context 324 Show data context 1,742 Show data context 4,516 Show data context 4,266 Show data context 3,704 Show data context 2,458 Show data context 1,441 Show data context
Brick, Cement 2 Show data context 12 Show data context 112 Show data context 215 Show data context 237 Show data context 210 Show data context 213 Show data context 199 Show data context 867 Show data context 1,736 Show data context 1,395 Show data context 1,104 Show data context 656 Show data context 391 Show data context
Chemicals 0 Show data context 0 Show data context 27 Show data context 53 Show data context 52 Show data context 51 Show data context 53 Show data context 49 Show data context 184 Show data context 338 Show data context 329 Show data context 223 Show data context 145 Show data context 63 Show data context
Skins, Leather 0 Show data context 10 Show data context 94 Show data context 134 Show data context 113 Show data context 92 Show data context 92 Show data context 74 Show data context 384 Show data context 893 Show data context 698 Show data context 473 Show data context 250 Show data context 106 Show data context
Paper, Prints 0 Show data context 4 Show data context 25 Show data context 36 Show data context 40 Show data context 49 Show data context 53 Show data context 50 Show data context 226 Show data context 408 Show data context 389 Show data context 302 Show data context 208 Show data context 114 Show data context
Textile Fabrics 1 Show data context 22 Show data context 268 Show data context 321 Show data context 313 Show data context 274 Show data context 260 Show data context 219 Show data context 812 Show data context 1,237 Show data context 892 Show data context 509 Show data context 331 Show data context 133 Show data context
Dress 0 Show data context 17 Show data context 82 Show data context 121 Show data context 134 Show data context 115 Show data context 115 Show data context 106 Show data context 423 Show data context 681 Show data context 570 Show data context 467 Show data context 338 Show data context 153 Show data context
Food, Drink 8 Show data context 85 Show data context 293 Show data context 385 Show data context 462 Show data context 451 Show data context 354 Show data context 352 Show data context 1,488 Show data context 3,093 Show data context 3,205 Show data context 1,961 Show data context 1,136 Show data context 680 Show data context
Gas, Water 2 Show data context 60 Show data context 459 Show data context 614 Show data context 694 Show data context 723 Show data context 752 Show data context 663 Show data context 2,836 Show data context 5,231 Show data context 4,534 Show data context 3,116 Show data context 1,745 Show data context 805 Show data context
Other and Undefined 0 Show data context 0 Show data context 2 Show data context 4 Show data context 9 Show data context 8 Show data context 15 Show data context 17 Show data context 111 Show data context 436 Show data context 538 Show data context 418 Show data context 267 Show data context 110 Show data context
Unoccupied 48 Show data context 94 Show data context 164 Show data context 184 Show data context 223 Show data context 270 Show data context 302 Show data context 251 Show data context 1,320 Show data context 2,694 Show data context 2,641 Show data context 2,235 Show data context 1,647 Show data context 1,075 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 1 Show data context 5 Show data context 8 Show data context 24 Show data context 24 Show data context 41 Show data context 37 Show data context 201 Show data context 280 Show data context 185 Show data context 127 Show data context 68 Show data context 35 Show data context
Defence
Professional Occupations 0 Show data context 3 Show data context 25 Show data context 42 Show data context 60 Show data context 94 Show data context 192 Show data context 229 Show data context 1,663 Show data context 2,614 Show data context 1,576 Show data context 1,036 Show data context 568 Show data context 262 Show data context
Domestic Services 3 Show data context 214 Show data context 1,052 Show data context 1,519 Show data context 1,906 Show data context 2,070 Show data context 2,115 Show data context 2,170 Show data context 8,935 Show data context 8,286 Show data context 4,807 Show data context 3,822 Show data context 2,451 Show data context 1,210 Show data context
Commercial Occupations 0 Show data context 2 Show data context 31 Show data context 88 Show data context 141 Show data context 171 Show data context 188 Show data context 149 Show data context 683 Show data context 490 Show data context 146 Show data context 68 Show data context 22 Show data context 9 Show data context
Transport 2 Show data context 4 Show data context 14 Show data context 9 Show data context 19 Show data context 18 Show data context 15 Show data context 23 Show data context 53 Show data context 36 Show data context 26 Show data context 22 Show data context 16 Show data context 17 Show data context
Agriculture 0 Show data context 8 Show data context 23 Show data context 40 Show data context 54 Show data context 52 Show data context 58 Show data context 54 Show data context 243 Show data context 254 Show data context 172 Show data context 171 Show data context 173 Show data context 161 Show data context
Mines and Quarries
Metals, Machines 0 Show data context 0 Show data context 1 Show data context 0 Show data context 1 Show data context 1 Show data context 1 Show data context 0 Show data context 7 Show data context 7 Show data context 14 Show data context 19 Show data context 13 Show data context 10 Show data context
Jewelry, Instruments 0 Show data context 10 Show data context 39 Show data context 56 Show data context 52 Show data context 55 Show data context 50 Show data context 46 Show data context 184 Show data context 132 Show data context 60 Show data context 43 Show data context 28 Show data context 10 Show data context
Building 0 Show data context 1 Show data context 5 Show data context 14 Show data context 20 Show data context 27 Show data context 17 Show data context 26 Show data context 70 Show data context 40 Show data context 35 Show data context 17 Show data context 9 Show data context 5 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 1 Show data context 5 Show data context 2 Show data context
Brick, Cement 0 Show data context 2 Show data context 19 Show data context 23 Show data context 22 Show data context 26 Show data context 23 Show data context 26 Show data context 102 Show data context 119 Show data context 89 Show data context 75 Show data context 48 Show data context 26 Show data context
Chemicals 0 Show data context 1 Show data context 17 Show data context 25 Show data context 24 Show data context 30 Show data context 23 Show data context 20 Show data context 72 Show data context 44 Show data context 26 Show data context 14 Show data context 16 Show data context 5 Show data context
Skins, Leather 0 Show data context 7 Show data context 35 Show data context 70 Show data context 67 Show data context 63 Show data context 71 Show data context 70 Show data context 234 Show data context 113 Show data context 37 Show data context 22 Show data context 5 Show data context 7 Show data context
Paper, Prints 0 Show data context 0 Show data context 6 Show data context 18 Show data context 17 Show data context 11 Show data context 19 Show data context 10 Show data context 56 Show data context 66 Show data context 42 Show data context 30 Show data context 16 Show data context 6 Show data context
Textile Fabrics 1 Show data context 14 Show data context 370 Show data context 471 Show data context 502 Show data context 465 Show data context 472 Show data context 393 Show data context 1,531 Show data context 790 Show data context 242 Show data context 177 Show data context 103 Show data context 30 Show data context
Dress 0 Show data context 34 Show data context 189 Show data context 290 Show data context 316 Show data context 329 Show data context 376 Show data context 337 Show data context 1,371 Show data context 1,319 Show data context 599 Show data context 428 Show data context 225 Show data context 96 Show data context
Food, Drink 1 Show data context 95 Show data context 706 Show data context 1,175 Show data context 1,261 Show data context 1,182 Show data context 1,190 Show data context 1,118 Show data context 4,771 Show data context 4,794 Show data context 2,824 Show data context 1,830 Show data context 1,079 Show data context 562 Show data context
Gas, Water 2 Show data context 33 Show data context 526 Show data context 677 Show data context 688 Show data context 801 Show data context 806 Show data context 818 Show data context 3,246 Show data context 2,992 Show data context 1,934 Show data context 1,543 Show data context 1,028 Show data context 575 Show data context
Other and Undefined
Unoccupied 0 Show data context 4 Show data context 45 Show data context 62 Show data context 68 Show data context 80 Show data context 89 Show data context 66 Show data context 312 Show data context 345 Show data context 356 Show data context 369 Show data context 238 Show data context 131 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, Gloucestershire 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/10107362/cube/OCC_ORD1911_AGESEX

Date accessed: 21st November 2019