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 6 Show data context 75 Show data context 93 Show data context 41 Show data context 39 Show data context 39 Show data context 59 Show data context 421 Show data context 1,133 Show data context 826 Show data context 326 Show data context 127 Show data context 25 Show data context
Defence 0 Show data context 0 Show data context 0 Show data context 0 Show data context 1 Show data context 5 Show data context 16 Show data context 14 Show data context 95 Show data context 72 Show data context 27 Show data context 6 Show data context 4 Show data context 2 Show data context
Professional Occupations 1 Show data context 6 Show data context 44 Show data context 65 Show data context 57 Show data context 91 Show data context 67 Show data context 66 Show data context 454 Show data context 997 Show data context 821 Show data context 576 Show data context 301 Show data context 162 Show data context
Domestic Services 3 Show data context 8 Show data context 34 Show data context 38 Show data context 34 Show data context 32 Show data context 42 Show data context 39 Show data context 248 Show data context 648 Show data context 625 Show data context 497 Show data context 267 Show data context 132 Show data context
Commercial Occupations 0 Show data context 9 Show data context 126 Show data context 262 Show data context 342 Show data context 353 Show data context 315 Show data context 337 Show data context 1,606 Show data context 2,323 Show data context 1,664 Show data context 1,098 Show data context 625 Show data context 240 Show data context
Transport 112 Show data context 184 Show data context 1,394 Show data context 968 Show data context 513 Show data context 424 Show data context 349 Show data context 326 Show data context 1,936 Show data context 5,141 Show data context 4,219 Show data context 2,510 Show data context 1,347 Show data context 378 Show data context
Agriculture 0 Show data context 0 Show data context 9 Show data context 6 Show data context 19 Show data context 20 Show data context 6 Show data context 23 Show data context 91 Show data context 167 Show data context 175 Show data context 191 Show data context 188 Show data context 139 Show data context
Mines & Quarries
Metals, Machines 0 Show data context 0 Show data context 3 Show data context 5 Show data context 5 Show data context 5 Show data context 6 Show data context 7 Show data context 58 Show data context 167 Show data context 160 Show data context 130 Show data context 109 Show data context 52 Show data context
Jewelry, Instruments 1 Show data context 22 Show data context 1,167 Show data context 1,748 Show data context 1,987 Show data context 2,102 Show data context 2,035 Show data context 1,966 Show data context 8,969 Show data context 17,092 Show data context 12,320 Show data context 7,563 Show data context 4,040 Show data context 1,662 Show data context
Building 0 Show data context 9 Show data context 220 Show data context 285 Show data context 330 Show data context 329 Show data context 346 Show data context 296 Show data context 1,300 Show data context 1,875 Show data context 1,194 Show data context 903 Show data context 566 Show data context 269 Show data context
Wood, Furniture 0 Show data context 1 Show data context 40 Show data context 94 Show data context 148 Show data context 156 Show data context 190 Show data context 156 Show data context 956 Show data context 3,050 Show data context 3,018 Show data context 2,443 Show data context 1,571 Show data context 583 Show data context
Brick, Cement 0 Show data context 0 Show data context 76 Show data context 108 Show data context 146 Show data context 145 Show data context 146 Show data context 134 Show data context 686 Show data context 1,546 Show data context 1,240 Show data context 918 Show data context 552 Show data context 273 Show data context
Chemicals 0 Show data context 0 Show data context 26 Show data context 38 Show data context 39 Show data context 32 Show data context 38 Show data context 48 Show data context 161 Show data context 314 Show data context 352 Show data context 222 Show data context 147 Show data context 68 Show data context
Skins, Leather 0 Show data context 2 Show data context 19 Show data context 33 Show data context 47 Show data context 69 Show data context 79 Show data context 66 Show data context 338 Show data context 737 Show data context 475 Show data context 238 Show data context 136 Show data context 39 Show data context
Paper, Prints 0 Show data context 3 Show data context 38 Show data context 48 Show data context 72 Show data context 51 Show data context 51 Show data context 45 Show data context 201 Show data context 362 Show data context 376 Show data context 301 Show data context 222 Show data context 117 Show data context
Textile Fabrics 1 Show data context 6 Show data context 104 Show data context 146 Show data context 147 Show data context 140 Show data context 127 Show data context 109 Show data context 524 Show data context 789 Show data context 647 Show data context 412 Show data context 257 Show data context 107 Show data context
Dress 0 Show data context 0 Show data context 23 Show data context 25 Show data context 37 Show data context 42 Show data context 45 Show data context 32 Show data context 165 Show data context 265 Show data context 219 Show data context 133 Show data context 86 Show data context 42 Show data context
Food, Drink 17 Show data context 24 Show data context 59 Show data context 88 Show data context 121 Show data context 133 Show data context 91 Show data context 104 Show data context 544 Show data context 1,069 Show data context 1,122 Show data context 909 Show data context 596 Show data context 354 Show data context
Gas, Water 0 Show data context 12 Show data context 116 Show data context 174 Show data context 241 Show data context 242 Show data context 288 Show data context 307 Show data context 1,459 Show data context 3,105 Show data context 2,721 Show data context 1,821 Show data context 947 Show data context 334 Show data context
Other & Undefined 0 Show data context 2 Show data context 4 Show data context 11 Show data context 14 Show data context 14 Show data context 22 Show data context 20 Show data context 101 Show data context 519 Show data context 648 Show data context 422 Show data context 188 Show data context 50 Show data context
Unoccupied 93 Show data context 80 Show data context 77 Show data context 93 Show data context 104 Show data context 117 Show data context 155 Show data context 145 Show data context 687 Show data context 1,770 Show data context 1,638 Show data context 1,378 Show data context 836 Show data context 368 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 0 Show data context 5 Show data context 17 Show data context 20 Show data context 19 Show data context 102 Show data context 191 Show data context 89 Show data context 55 Show data context 16 Show data context 4 Show data context
Defence
Professional Occupations 0 Show data context 1 Show data context 10 Show data context 19 Show data context 27 Show data context 65 Show data context 76 Show data context 82 Show data context 770 Show data context 1,234 Show data context 615 Show data context 415 Show data context 225 Show data context 102 Show data context
Domestic Services 1 Show data context 18 Show data context 224 Show data context 312 Show data context 428 Show data context 533 Show data context 672 Show data context 654 Show data context 3,042 Show data context 3,501 Show data context 2,560 Show data context 2,044 Show data context 1,301 Show data context 486 Show data context
Commercial Occupations 0 Show data context 5 Show data context 119 Show data context 257 Show data context 309 Show data context 353 Show data context 382 Show data context 291 Show data context 1,356 Show data context 1,031 Show data context 291 Show data context 76 Show data context 25 Show data context 8 Show data context
Transport 2 Show data context 8 Show data context 178 Show data context 93 Show data context 56 Show data context 41 Show data context 30 Show data context 38 Show data context 127 Show data context 67 Show data context 30 Show data context 23 Show data context 20 Show data context 10 Show data context
Agriculture 0 Show data context 0 Show data context 0 Show data context 1 Show data context 0 Show data context 0 Show data context 0 Show data context 0 Show data context 0 Show data context 12 Show data context 9 Show data context 2 Show data context 0 Show data context 0 Show data context
Mines & Quarries
Metals, Machines 0 Show data context 0 Show data context 0 Show data context 1 Show data context 0 Show data context 2 Show data context 0 Show data context 0 Show data context 6 Show data context 17 Show data context 22 Show data context 20 Show data context 4 Show data context 4 Show data context
Jewelry, Instruments 0 Show data context 26 Show data context 992 Show data context 1,307 Show data context 1,539 Show data context 1,542 Show data context 1,461 Show data context 1,534 Show data context 5,892 Show data context 5,273 Show data context 2,320 Show data context 1,211 Show data context 550 Show data context 177 Show data context
Building 1 Show data context 10 Show data context 331 Show data context 357 Show data context 371 Show data context 371 Show data context 355 Show data context 380 Show data context 1,240 Show data context 942 Show data context 285 Show data context 150 Show data context 75 Show data context 29 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 3 Show data context 1 Show data context 2 Show data context 0 Show data context
Brick, Cement 0 Show data context 1 Show data context 88 Show data context 91 Show data context 115 Show data context 92 Show data context 105 Show data context 98 Show data context 414 Show data context 538 Show data context 269 Show data context 160 Show data context 82 Show data context 36 Show data context
Chemicals 0 Show data context 2 Show data context 16 Show data context 18 Show data context 19 Show data context 27 Show data context 13 Show data context 14 Show data context 55 Show data context 73 Show data context 43 Show data context 15 Show data context 15 Show data context 7 Show data context
Skins, Leather 0 Show data context 3 Show data context 45 Show data context 58 Show data context 71 Show data context 87 Show data context 95 Show data context 86 Show data context 316 Show data context 273 Show data context 92 Show data context 49 Show data context 11 Show data context 14 Show data context
Paper, Prints 0 Show data context 7 Show data context 181 Show data context 182 Show data context 188 Show data context 151 Show data context 160 Show data context 111 Show data context 479 Show data context 361 Show data context 192 Show data context 148 Show data context 78 Show data context 31 Show data context
Textile Fabrics 0 Show data context 10 Show data context 303 Show data context 333 Show data context 286 Show data context 271 Show data context 272 Show data context 285 Show data context 1,025 Show data context 810 Show data context 339 Show data context 247 Show data context 122 Show data context 49 Show data context
Dress 0 Show data context 1 Show data context 65 Show data context 92 Show data context 101 Show data context 97 Show data context 93 Show data context 90 Show data context 345 Show data context 348 Show data context 187 Show data context 130 Show data context 66 Show data context 28 Show data context
Food, Drink 0 Show data context 10 Show data context 442 Show data context 598 Show data context 680 Show data context 623 Show data context 637 Show data context 606 Show data context 2,349 Show data context 2,326 Show data context 1,555 Show data context 1,080 Show data context 621 Show data context 314 Show data context
Gas, Water 1 Show data context 2 Show data context 140 Show data context 174 Show data context 191 Show data context 179 Show data context 221 Show data context 194 Show data context 1,170 Show data context 1,792 Show data context 1,526 Show data context 1,225 Show data context 712 Show data context 330 Show data context
Other & Undefined
Unoccupied 3 Show data context 8 Show data context 129 Show data context 135 Show data context 124 Show data context 101 Show data context 123 Show data context 98 Show data context 408 Show data context 505 Show data context 465 Show data context 352 Show data context 278 Show data context 134 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, Birmingham 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/10101001/cube/OCC_ORD1911_AGESEX

Date accessed: 01st May 2024