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 16 Show data context 47 Show data context 43 Show data context 22 Show data context 33 Show data context 28 Show data context 27 Show data context 203 Show data context 691 Show data context 515 Show data context 330 Show data context 142 Show data context 65 Show data context
Defence 0 Show data context 0 Show data context 0 Show data context 0 Show data context 0 Show data context 20 Show data context 38 Show data context 13 Show data context 90 Show data context 113 Show data context 66 Show data context 28 Show data context 13 Show data context 13 Show data context
Professional Occupations 0 Show data context 9 Show data context 28 Show data context 33 Show data context 43 Show data context 40 Show data context 73 Show data context 59 Show data context 355 Show data context 908 Show data context 822 Show data context 677 Show data context 369 Show data context 183 Show data context
Domestic Services 3 Show data context 24 Show data context 65 Show data context 81 Show data context 94 Show data context 119 Show data context 118 Show data context 123 Show data context 631 Show data context 1,320 Show data context 987 Show data context 676 Show data context 444 Show data context 232 Show data context
Commercial Occupations 1 Show data context 10 Show data context 94 Show data context 175 Show data context 265 Show data context 254 Show data context 252 Show data context 240 Show data context 1,078 Show data context 1,917 Show data context 1,424 Show data context 830 Show data context 472 Show data context 151 Show data context
Transport 114 Show data context 349 Show data context 763 Show data context 493 Show data context 291 Show data context 213 Show data context 206 Show data context 216 Show data context 1,297 Show data context 3,261 Show data context 2,681 Show data context 1,785 Show data context 1,048 Show data context 303 Show data context
Agriculture 4 Show data context 234 Show data context 423 Show data context 493 Show data context 472 Show data context 394 Show data context 425 Show data context 396 Show data context 1,530 Show data context 2,519 Show data context 2,418 Show data context 2,405 Show data context 1,976 Show data context 1,671 Show data context
Mines and Quarries
Metals, Machines 0 Show data context 112 Show data context 230 Show data context 311 Show data context 344 Show data context 375 Show data context 406 Show data context 383 Show data context 1,918 Show data context 3,569 Show data context 2,629 Show data context 1,850 Show data context 1,062 Show data context 367 Show data context
Jewelry, Instruments 0 Show data context 46 Show data context 311 Show data context 399 Show data context 467 Show data context 449 Show data context 538 Show data context 450 Show data context 2,158 Show data context 3,675 Show data context 2,537 Show data context 1,594 Show data context 893 Show data context 352 Show data context
Building 0 Show data context 0 Show data context 8 Show data context 11 Show data context 20 Show data context 15 Show data context 17 Show data context 18 Show data context 91 Show data context 155 Show data context 117 Show data context 90 Show data context 48 Show data context 25 Show data context
Wood, Furniture 1 Show data context 8 Show data context 49 Show data context 104 Show data context 137 Show data context 147 Show data context 161 Show data context 176 Show data context 986 Show data context 2,562 Show data context 1,940 Show data context 1,954 Show data context 1,434 Show data context 617 Show data context
Brick, Cement 0 Show data context 9 Show data context 26 Show data context 47 Show data context 54 Show data context 66 Show data context 69 Show data context 70 Show data context 352 Show data context 690 Show data context 542 Show data context 413 Show data context 265 Show data context 136 Show data context
Chemicals 0 Show data context 48 Show data context 78 Show data context 66 Show data context 73 Show data context 64 Show data context 59 Show data context 40 Show data context 205 Show data context 345 Show data context 267 Show data context 160 Show data context 99 Show data context 42 Show data context
Skins, Leather 0 Show data context 5 Show data context 47 Show data context 41 Show data context 56 Show data context 59 Show data context 79 Show data context 53 Show data context 306 Show data context 496 Show data context 323 Show data context 169 Show data context 95 Show data context 41 Show data context
Paper, Prints 0 Show data context 3 Show data context 10 Show data context 20 Show data context 29 Show data context 26 Show data context 31 Show data context 29 Show data context 142 Show data context 247 Show data context 251 Show data context 132 Show data context 102 Show data context 61 Show data context
Textile Fabrics 0 Show data context 25 Show data context 138 Show data context 121 Show data context 136 Show data context 140 Show data context 114 Show data context 94 Show data context 379 Show data context 637 Show data context 481 Show data context 233 Show data context 126 Show data context 46 Show data context
Dress 1 Show data context 175 Show data context 359 Show data context 442 Show data context 494 Show data context 484 Show data context 459 Show data context 417 Show data context 1,691 Show data context 2,584 Show data context 2,160 Show data context 1,873 Show data context 1,178 Show data context 684 Show data context
Food, Drink 5 Show data context 250 Show data context 749 Show data context 883 Show data context 936 Show data context 896 Show data context 861 Show data context 794 Show data context 3,361 Show data context 6,392 Show data context 5,519 Show data context 3,549 Show data context 1,832 Show data context 781 Show data context
Gas, Water 1 Show data context 46 Show data context 164 Show data context 213 Show data context 276 Show data context 321 Show data context 281 Show data context 306 Show data context 1,327 Show data context 2,557 Show data context 2,287 Show data context 1,650 Show data context 930 Show data context 421 Show data context
Other and Undefined 0 Show data context 0 Show data context 6 Show data context 4 Show data context 4 Show data context 2 Show data context 8 Show data context 1 Show data context 54 Show data context 301 Show data context 488 Show data context 340 Show data context 183 Show data context 79 Show data context
Unoccupied 75 Show data context 53 Show data context 54 Show data context 66 Show data context 83 Show data context 83 Show data context 78 Show data context 95 Show data context 460 Show data context 1,183 Show data context 1,189 Show data context 1,099 Show data context 831 Show data context 479 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 2 Show data context 2 Show data context 6 Show data context 19 Show data context 17 Show data context 17 Show data context 94 Show data context 182 Show data context 96 Show data context 70 Show data context 36 Show data context 11 Show data context
Defence
Professional Occupations 0 Show data context 1 Show data context 6 Show data context 10 Show data context 17 Show data context 57 Show data context 113 Show data context 135 Show data context 891 Show data context 1,179 Show data context 689 Show data context 421 Show data context 234 Show data context 84 Show data context
Domestic Services 8 Show data context 163 Show data context 452 Show data context 589 Show data context 691 Show data context 746 Show data context 827 Show data context 836 Show data context 3,371 Show data context 3,136 Show data context 1,735 Show data context 1,387 Show data context 967 Show data context 459 Show data context
Commercial Occupations 0 Show data context 5 Show data context 54 Show data context 103 Show data context 102 Show data context 134 Show data context 160 Show data context 128 Show data context 485 Show data context 327 Show data context 65 Show data context 15 Show data context 12 Show data context 4 Show data context
Transport 6 Show data context 43 Show data context 227 Show data context 66 Show data context 31 Show data context 13 Show data context 8 Show data context 6 Show data context 35 Show data context 15 Show data context 17 Show data context 18 Show data context 15 Show data context 8 Show data context
Agriculture 0 Show data context 7 Show data context 14 Show data context 31 Show data context 30 Show data context 39 Show data context 39 Show data context 37 Show data context 147 Show data context 180 Show data context 102 Show data context 80 Show data context 108 Show data context 119 Show data context
Mines and Quarries
Metals, Machines 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 1 Show data context 5 Show data context 5 Show data context 5 Show data context 3 Show data context 2 Show data context 0 Show data context
Jewelry, Instruments 0 Show data context 0 Show data context 7 Show data context 5 Show data context 24 Show data context 35 Show data context 32 Show data context 40 Show data context 145 Show data context 73 Show data context 38 Show data context 22 Show data context 15 Show data context 10 Show data context
Building 0 Show data context 1 Show data context 3 Show data context 3 Show data context 3 Show data context 3 Show data context 1 Show data context 4 Show data context 6 Show data context 15 Show data context 10 Show data context 5 Show data context 7 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 2 Show data context 2 Show data context 6 Show data context 3 Show data context
Brick, Cement 0 Show data context 0 Show data context 5 Show data context 13 Show data context 8 Show data context 11 Show data context 11 Show data context 9 Show data context 54 Show data context 62 Show data context 51 Show data context 37 Show data context 24 Show data context 13 Show data context
Chemicals 0 Show data context 1 Show data context 2 Show data context 5 Show data context 6 Show data context 8 Show data context 5 Show data context 2 Show data context 15 Show data context 10 Show data context 9 Show data context 7 Show data context 6 Show data context 3 Show data context
Skins, Leather 0 Show data context 0 Show data context 12 Show data context 14 Show data context 14 Show data context 20 Show data context 11 Show data context 17 Show data context 52 Show data context 36 Show data context 14 Show data context 8 Show data context 4 Show data context 5 Show data context
Paper, Prints 0 Show data context 1 Show data context 3 Show data context 3 Show data context 6 Show data context 8 Show data context 2 Show data context 1 Show data context 24 Show data context 19 Show data context 14 Show data context 11 Show data context 5 Show data context 3 Show data context
Textile Fabrics 0 Show data context 18 Show data context 116 Show data context 110 Show data context 113 Show data context 110 Show data context 107 Show data context 102 Show data context 477 Show data context 394 Show data context 158 Show data context 83 Show data context 29 Show data context 11 Show data context
Dress 1 Show data context 455 Show data context 1,554 Show data context 1,661 Show data context 1,631 Show data context 1,738 Show data context 1,587 Show data context 1,550 Show data context 6,406 Show data context 6,377 Show data context 3,136 Show data context 1,505 Show data context 599 Show data context 306 Show data context
Food, Drink 1 Show data context 221 Show data context 753 Show data context 1,020 Show data context 1,122 Show data context 1,162 Show data context 1,054 Show data context 1,096 Show data context 4,509 Show data context 5,175 Show data context 2,559 Show data context 1,314 Show data context 637 Show data context 288 Show data context
Gas, Water 0 Show data context 21 Show data context 61 Show data context 72 Show data context 74 Show data context 101 Show data context 94 Show data context 112 Show data context 657 Show data context 1,319 Show data context 1,068 Show data context 895 Show data context 621 Show data context 241 Show data context
Other and Undefined
Unoccupied 1 Show data context 8 Show data context 24 Show data context 15 Show data context 30 Show data context 18 Show data context 20 Show data context 10 Show data context 85 Show data context 154 Show data context 151 Show data context 128 Show data context 76 Show data context 63 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, Leicestershire 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/10025023/cube/OCC_ORD1911_AGESEX

Date accessed: 27th June 2022