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 1 Show data context 15 Show data context 35 Show data context 62 Show data context 30 Show data context 21 Show data context 25 Show data context 15 Show data context 138 Show data context 518 Show data context 347 Show data context 200 Show data context 58 Show data context 31 Show data context
Defence 0 Show data context 0 Show data context 0 Show data context 0 Show data context 1 Show data context 0 Show data context 5 Show data context 3 Show data context 16 Show data context 16 Show data context 8 Show data context 2 Show data context 1 Show data context 1 Show data context
Professional Occupations 0 Show data context 3 Show data context 12 Show data context 20 Show data context 32 Show data context 38 Show data context 37 Show data context 45 Show data context 223 Show data context 443 Show data context 384 Show data context 260 Show data context 156 Show data context 65 Show data context
Domestic Services 0 Show data context 1 Show data context 9 Show data context 5 Show data context 16 Show data context 14 Show data context 12 Show data context 15 Show data context 80 Show data context 225 Show data context 187 Show data context 153 Show data context 108 Show data context 54 Show data context
Commercial Occupations 0 Show data context 7 Show data context 74 Show data context 160 Show data context 240 Show data context 268 Show data context 261 Show data context 212 Show data context 1,068 Show data context 1,446 Show data context 993 Show data context 613 Show data context 338 Show data context 127 Show data context
Transport 41 Show data context 222 Show data context 891 Show data context 599 Show data context 413 Show data context 291 Show data context 268 Show data context 276 Show data context 1,482 Show data context 3,589 Show data context 3,110 Show data context 1,866 Show data context 888 Show data context 223 Show data context
Agriculture 0 Show data context 0 Show data context 0 Show data context 2 Show data context 3 Show data context 3 Show data context 6 Show data context 4 Show data context 31 Show data context 61 Show data context 48 Show data context 56 Show data context 48 Show data context 32 Show data context
Mines & Quarries
Metals, Machines 0 Show data context 3 Show data context 9 Show data context 14 Show data context 24 Show data context 23 Show data context 29 Show data context 29 Show data context 199 Show data context 397 Show data context 329 Show data context 203 Show data context 116 Show data context 42 Show data context
Jewelry, Instruments 0 Show data context 8 Show data context 275 Show data context 354 Show data context 398 Show data context 441 Show data context 492 Show data context 467 Show data context 2,042 Show data context 3,513 Show data context 2,596 Show data context 1,558 Show data context 819 Show data context 245 Show data context
Building 0 Show data context 0 Show data context 5 Show data context 12 Show data context 11 Show data context 14 Show data context 18 Show data context 12 Show data context 63 Show data context 112 Show data context 95 Show data context 79 Show data context 30 Show data context 16 Show data context
Wood, Furniture 0 Show data context 3 Show data context 28 Show data context 54 Show data context 83 Show data context 92 Show data context 80 Show data context 85 Show data context 498 Show data context 1,483 Show data context 1,250 Show data context 1,018 Show data context 667 Show data context 233 Show data context
Brick, Cement 0 Show data context 0 Show data context 27 Show data context 50 Show data context 57 Show data context 72 Show data context 76 Show data context 74 Show data context 320 Show data context 570 Show data context 476 Show data context 319 Show data context 186 Show data context 62 Show data context
Chemicals 0 Show data context 1 Show data context 12 Show data context 13 Show data context 14 Show data context 13 Show data context 12 Show data context 11 Show data context 52 Show data context 114 Show data context 90 Show data context 50 Show data context 17 Show data context 17 Show data context
Skins, Leather 0 Show data context 2 Show data context 28 Show data context 64 Show data context 68 Show data context 75 Show data context 70 Show data context 65 Show data context 257 Show data context 480 Show data context 378 Show data context 227 Show data context 107 Show data context 39 Show data context
Paper, Prints 0 Show data context 0 Show data context 3 Show data context 8 Show data context 9 Show data context 7 Show data context 5 Show data context 10 Show data context 39 Show data context 103 Show data context 78 Show data context 50 Show data context 31 Show data context 20 Show data context
Textile Fabrics 0 Show data context 4 Show data context 55 Show data context 94 Show data context 103 Show data context 87 Show data context 98 Show data context 87 Show data context 411 Show data context 795 Show data context 532 Show data context 371 Show data context 190 Show data context 66 Show data context
Dress 0 Show data context 13 Show data context 163 Show data context 232 Show data context 271 Show data context 270 Show data context 281 Show data context 290 Show data context 1,302 Show data context 1,933 Show data context 1,474 Show data context 1,094 Show data context 580 Show data context 212 Show data context
Food, Drink 12 Show data context 18 Show data context 33 Show data context 64 Show data context 56 Show data context 78 Show data context 63 Show data context 81 Show data context 388 Show data context 676 Show data context 530 Show data context 345 Show data context 198 Show data context 92 Show data context
Gas, Water 2 Show data context 16 Show data context 63 Show data context 109 Show data context 134 Show data context 150 Show data context 161 Show data context 171 Show data context 782 Show data context 1,416 Show data context 1,146 Show data context 784 Show data context 401 Show data context 145 Show data context
Other & Undefined 0 Show data context 0 Show data context 1 Show data context 0 Show data context 1 Show data context 5 Show data context 8 Show data context 14 Show data context 54 Show data context 250 Show data context 274 Show data context 209 Show data context 97 Show data context 36 Show data context
Unoccupied 39 Show data context 34 Show data context 28 Show data context 62 Show data context 61 Show data context 78 Show data context 84 Show data context 94 Show data context 417 Show data context 1,040 Show data context 1,000 Show data context 725 Show data context 400 Show data context 153 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 0 Show data context 3 Show data context 4 Show data context 9 Show data context 8 Show data context 62 Show data context 87 Show data context 31 Show data context 22 Show data context 14 Show data context 5 Show data context
Defence
Professional Occupations 0 Show data context 0 Show data context 6 Show data context 6 Show data context 13 Show data context 30 Show data context 44 Show data context 44 Show data context 318 Show data context 506 Show data context 257 Show data context 181 Show data context 75 Show data context 28 Show data context
Domestic Services 1 Show data context 24 Show data context 95 Show data context 113 Show data context 150 Show data context 169 Show data context 214 Show data context 223 Show data context 1,144 Show data context 1,453 Show data context 1,158 Show data context 962 Show data context 584 Show data context 220 Show data context
Commercial Occupations 0 Show data context 3 Show data context 23 Show data context 38 Show data context 57 Show data context 83 Show data context 81 Show data context 82 Show data context 290 Show data context 210 Show data context 58 Show data context 19 Show data context 8 Show data context 1 Show data context
Transport 4 Show data context 33 Show data context 102 Show data context 60 Show data context 34 Show data context 21 Show data context 16 Show data context 17 Show data context 44 Show data context 44 Show data context 9 Show data context 10 Show data context 2 Show data context 2 Show data context
Agriculture 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 1 Show data context 0 Show data context 0 Show data context 0 Show data context 1 Show data context
Mines & 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 2 Show data context 2 Show data context 0 Show data context 4 Show data context 2 Show data context 3 Show data context 5 Show data context 1 Show data context
Jewelry, Instruments 0 Show data context 2 Show data context 23 Show data context 40 Show data context 39 Show data context 64 Show data context 49 Show data context 63 Show data context 249 Show data context 130 Show data context 29 Show data context 16 Show data context 14 Show data context 6 Show data context
Building 0 Show data context 0 Show data context 3 Show data context 3 Show data context 4 Show data context 6 Show data context 5 Show data context 7 Show data context 22 Show data context 14 Show data context 10 Show data context 2 Show data context 2 Show data context 1 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 2 Show data context 0 Show data context 3 Show data context
Brick, Cement 0 Show data context 0 Show data context 11 Show data context 13 Show data context 21 Show data context 21 Show data context 21 Show data context 17 Show data context 67 Show data context 55 Show data context 30 Show data context 27 Show data context 13 Show data context 6 Show data context
Chemicals 0 Show data context 0 Show data context 1 Show data context 0 Show data context 4 Show data context 2 Show data context 1 Show data context 3 Show data context 5 Show data context 13 Show data context 2 Show data context 6 Show data context 2 Show data context 0 Show data context
Skins, Leather 0 Show data context 2 Show data context 63 Show data context 80 Show data context 99 Show data context 93 Show data context 84 Show data context 68 Show data context 225 Show data context 220 Show data context 78 Show data context 16 Show data context 6 Show data context 4 Show data context
Paper, Prints 0 Show data context 1 Show data context 4 Show data context 4 Show data context 11 Show data context 11 Show data context 12 Show data context 8 Show data context 40 Show data context 30 Show data context 20 Show data context 5 Show data context 7 Show data context 0 Show data context
Textile Fabrics 0 Show data context 8 Show data context 141 Show data context 143 Show data context 130 Show data context 143 Show data context 139 Show data context 127 Show data context 484 Show data context 399 Show data context 121 Show data context 71 Show data context 25 Show data context 8 Show data context
Dress 1 Show data context 33 Show data context 492 Show data context 638 Show data context 751 Show data context 727 Show data context 655 Show data context 701 Show data context 2,372 Show data context 2,166 Show data context 1,028 Show data context 575 Show data context 210 Show data context 83 Show data context
Food, Drink 0 Show data context 20 Show data context 336 Show data context 508 Show data context 455 Show data context 491 Show data context 493 Show data context 432 Show data context 1,870 Show data context 1,631 Show data context 738 Show data context 352 Show data context 196 Show data context 87 Show data context
Gas, Water 0 Show data context 8 Show data context 72 Show data context 92 Show data context 119 Show data context 122 Show data context 140 Show data context 140 Show data context 692 Show data context 892 Show data context 618 Show data context 534 Show data context 267 Show data context 132 Show data context
Other & Undefined
Unoccupied 0 Show data context 0 Show data context 11 Show data context 11 Show data context 16 Show data context 21 Show data context 21 Show data context 12 Show data context 81 Show data context 94 Show data context 85 Show data context 74 Show data context 45 Show data context 16 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, Salford 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/10042884/cube/OCC_ORD1911_AGESEX

Date accessed: 01st May 2024