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 17 Show data context 78 Show data context 69 Show data context 45 Show data context 52 Show data context 52 Show data context 51 Show data context 339 Show data context 939 Show data context 782 Show data context 405 Show data context 158 Show data context 51 Show data context
Defence 0 Show data context 0 Show data context 0 Show data context 2 Show data context 2 Show data context 60 Show data context 85 Show data context 27 Show data context 117 Show data context 158 Show data context 98 Show data context 20 Show data context 20 Show data context 21 Show data context
Professional Occupations 0 Show data context 8 Show data context 36 Show data context 47 Show data context 73 Show data context 92 Show data context 109 Show data context 95 Show data context 555 Show data context 1,304 Show data context 1,190 Show data context 903 Show data context 440 Show data context 261 Show data context
Domestic Services 4 Show data context 40 Show data context 94 Show data context 124 Show data context 153 Show data context 154 Show data context 163 Show data context 141 Show data context 713 Show data context 1,337 Show data context 1,235 Show data context 838 Show data context 473 Show data context 271 Show data context
Commercial Occupations 0 Show data context 16 Show data context 110 Show data context 205 Show data context 323 Show data context 302 Show data context 327 Show data context 298 Show data context 1,373 Show data context 2,865 Show data context 2,220 Show data context 1,309 Show data context 672 Show data context 251 Show data context
Transport 97 Show data context 301 Show data context 823 Show data context 640 Show data context 434 Show data context 338 Show data context 282 Show data context 295 Show data context 1,593 Show data context 3,611 Show data context 2,816 Show data context 1,676 Show data context 1,034 Show data context 313 Show data context
Agriculture 2 Show data context 248 Show data context 550 Show data context 610 Show data context 663 Show data context 632 Show data context 587 Show data context 517 Show data context 2,090 Show data context 3,839 Show data context 3,845 Show data context 3,541 Show data context 2,650 Show data context 2,030 Show data context
Mines and Quarries
Metals, Machines 0 Show data context 5 Show data context 30 Show data context 43 Show data context 77 Show data context 82 Show data context 100 Show data context 105 Show data context 484 Show data context 1,027 Show data context 988 Show data context 748 Show data context 539 Show data context 236 Show data context
Jewelry, Instruments 1 Show data context 185 Show data context 860 Show data context 1,114 Show data context 1,300 Show data context 1,302 Show data context 1,281 Show data context 1,214 Show data context 5,407 Show data context 9,637 Show data context 7,427 Show data context 4,811 Show data context 2,716 Show data context 1,253 Show data context
Building 0 Show data context 20 Show data context 53 Show data context 55 Show data context 58 Show data context 70 Show data context 73 Show data context 66 Show data context 293 Show data context 645 Show data context 525 Show data context 381 Show data context 215 Show data context 99 Show data context
Wood, Furniture 0 Show data context 10 Show data context 74 Show data context 136 Show data context 185 Show data context 209 Show data context 226 Show data context 206 Show data context 1,261 Show data context 3,403 Show data context 2,870 Show data context 2,264 Show data context 1,396 Show data context 745 Show data context
Brick, Cement 1 Show data context 3 Show data context 47 Show data context 55 Show data context 72 Show data context 79 Show data context 72 Show data context 77 Show data context 307 Show data context 758 Show data context 682 Show data context 451 Show data context 282 Show data context 164 Show data context
Chemicals 0 Show data context 7 Show data context 62 Show data context 72 Show data context 93 Show data context 97 Show data context 86 Show data context 68 Show data context 310 Show data context 633 Show data context 568 Show data context 417 Show data context 256 Show data context 92 Show data context
Skins, Leather 0 Show data context 2 Show data context 17 Show data context 40 Show data context 41 Show data context 33 Show data context 43 Show data context 47 Show data context 227 Show data context 532 Show data context 471 Show data context 392 Show data context 240 Show data context 76 Show data context
Paper, Prints 0 Show data context 3 Show data context 22 Show data context 34 Show data context 32 Show data context 45 Show data context 31 Show data context 34 Show data context 162 Show data context 299 Show data context 262 Show data context 198 Show data context 120 Show data context 72 Show data context
Textile Fabrics 0 Show data context 9 Show data context 61 Show data context 85 Show data context 77 Show data context 76 Show data context 59 Show data context 66 Show data context 271 Show data context 471 Show data context 446 Show data context 265 Show data context 162 Show data context 63 Show data context
Dress 0 Show data context 47 Show data context 131 Show data context 145 Show data context 190 Show data context 174 Show data context 189 Show data context 131 Show data context 607 Show data context 941 Show data context 867 Show data context 678 Show data context 452 Show data context 160 Show data context
Food, Drink 10 Show data context 38 Show data context 141 Show data context 146 Show data context 154 Show data context 163 Show data context 149 Show data context 137 Show data context 575 Show data context 1,077 Show data context 1,051 Show data context 682 Show data context 468 Show data context 341 Show data context
Gas, Water 0 Show data context 28 Show data context 206 Show data context 317 Show data context 375 Show data context 401 Show data context 428 Show data context 388 Show data context 1,668 Show data context 3,079 Show data context 2,766 Show data context 1,857 Show data context 974 Show data context 435 Show data context
Other and Undefined 0 Show data context 1 Show data context 0 Show data context 5 Show data context 5 Show data context 10 Show data context 7 Show data context 10 Show data context 70 Show data context 310 Show data context 287 Show data context 228 Show data context 101 Show data context 53 Show data context
Unoccupied 70 Show data context 81 Show data context 71 Show data context 98 Show data context 120 Show data context 129 Show data context 151 Show data context 146 Show data context 646 Show data context 1,416 Show data context 1,462 Show data context 1,197 Show data context 875 Show data context 529 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 1 Show data context 4 Show data context 17 Show data context 18 Show data context 25 Show data context 32 Show data context 153 Show data context 223 Show data context 137 Show data context 58 Show data context 41 Show data context 17 Show data context
Defence
Professional Occupations 0 Show data context 4 Show data context 7 Show data context 20 Show data context 32 Show data context 88 Show data context 134 Show data context 166 Show data context 1,180 Show data context 1,763 Show data context 1,046 Show data context 647 Show data context 325 Show data context 145 Show data context
Domestic Services 3 Show data context 148 Show data context 697 Show data context 1,019 Show data context 1,240 Show data context 1,331 Show data context 1,446 Show data context 1,361 Show data context 5,820 Show data context 5,079 Show data context 2,760 Show data context 2,156 Show data context 1,360 Show data context 692 Show data context
Commercial Occupations 0 Show data context 6 Show data context 57 Show data context 120 Show data context 176 Show data context 181 Show data context 184 Show data context 178 Show data context 721 Show data context 604 Show data context 153 Show data context 50 Show data context 18 Show data context 6 Show data context
Transport 0 Show data context 16 Show data context 50 Show data context 22 Show data context 16 Show data context 21 Show data context 24 Show data context 26 Show data context 63 Show data context 52 Show data context 19 Show data context 21 Show data context 8 Show data context 16 Show data context
Agriculture 0 Show data context 5 Show data context 22 Show data context 24 Show data context 46 Show data context 42 Show data context 47 Show data context 38 Show data context 191 Show data context 203 Show data context 173 Show data context 169 Show data context 186 Show data context 161 Show data context
Mines and Quarries
Metals, Machines 0 Show data context 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 6 Show data context 8 Show data context 20 Show data context 19 Show data context 13 Show data context 9 Show data context
Jewelry, Instruments 1 Show data context 80 Show data context 352 Show data context 503 Show data context 507 Show data context 492 Show data context 519 Show data context 447 Show data context 1,691 Show data context 1,313 Show data context 653 Show data context 461 Show data context 276 Show data context 124 Show data context
Building 0 Show data context 27 Show data context 72 Show data context 68 Show data context 90 Show data context 91 Show data context 85 Show data context 104 Show data context 403 Show data context 374 Show data context 200 Show data context 90 Show data context 54 Show data context 20 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 1 Show data context 4 Show data context
Brick, Cement 0 Show data context 0 Show data context 15 Show data context 17 Show data context 20 Show data context 18 Show data context 22 Show data context 18 Show data context 71 Show data context 90 Show data context 68 Show data context 41 Show data context 20 Show data context 12 Show data context
Chemicals 0 Show data context 0 Show data context 23 Show data context 19 Show data context 54 Show data context 62 Show data context 71 Show data context 74 Show data context 234 Show data context 214 Show data context 129 Show data context 100 Show data context 25 Show data context 9 Show data context
Skins, Leather 0 Show data context 2 Show data context 30 Show data context 31 Show data context 29 Show data context 30 Show data context 23 Show data context 11 Show data context 72 Show data context 50 Show data context 14 Show data context 11 Show data context 10 Show data context 1 Show data context
Paper, Prints 0 Show data context 7 Show data context 37 Show data context 52 Show data context 57 Show data context 49 Show data context 48 Show data context 41 Show data context 104 Show data context 119 Show data context 57 Show data context 40 Show data context 11 Show data context 5 Show data context
Textile Fabrics 0 Show data context 15 Show data context 96 Show data context 91 Show data context 106 Show data context 103 Show data context 91 Show data context 67 Show data context 351 Show data context 305 Show data context 155 Show data context 94 Show data context 41 Show data context 19 Show data context
Dress 0 Show data context 62 Show data context 238 Show data context 283 Show data context 319 Show data context 282 Show data context 299 Show data context 333 Show data context 1,311 Show data context 1,336 Show data context 688 Show data context 382 Show data context 153 Show data context 55 Show data context
Food, Drink 1 Show data context 93 Show data context 399 Show data context 566 Show data context 561 Show data context 598 Show data context 574 Show data context 515 Show data context 2,111 Show data context 1,953 Show data context 1,307 Show data context 877 Show data context 443 Show data context 277 Show data context
Gas, Water 1 Show data context 18 Show data context 220 Show data context 300 Show data context 315 Show data context 294 Show data context 312 Show data context 308 Show data context 1,334 Show data context 1,685 Show data context 1,182 Show data context 1,038 Show data context 677 Show data context 394 Show data context
Other and Undefined 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 1 Show data context 0 Show data context 0 Show data context 0 Show data context 0 Show data context
Unoccupied 0 Show data context 3 Show data context 35 Show data context 46 Show data context 53 Show data context 51 Show data context 54 Show data context 39 Show data context 199 Show data context 222 Show data context 225 Show data context 196 Show data context 155 Show data context 103 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, Worcestershire 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/10025047/cube/OCC_ORD1911_AGESEX

Date accessed: 23rd January 2020