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 2 Show data context 31 Show data context 37 Show data context 25 Show data context 27 Show data context 25 Show data context 24 Show data context 145 Show data context 366 Show data context 319 Show data context 202 Show data context 99 Show data context 52 Show data context
Defence 0 Show data context 0 Show data context 0 Show data context 0 Show data context 0 Show data context 16 Show data context 63 Show data context 24 Show data context 55 Show data context 68 Show data context 65 Show data context 9 Show data context 8 Show data context 7 Show data context
Professional Occupations 0 Show data context 3 Show data context 12 Show data context 28 Show data context 40 Show data context 47 Show data context 56 Show data context 61 Show data context 295 Show data context 560 Show data context 536 Show data context 458 Show data context 251 Show data context 126 Show data context
Domestic Services 0 Show data context 1 Show data context 15 Show data context 33 Show data context 32 Show data context 54 Show data context 59 Show data context 55 Show data context 260 Show data context 424 Show data context 409 Show data context 321 Show data context 211 Show data context 99 Show data context
Commercial Occupations 0 Show data context 0 Show data context 14 Show data context 44 Show data context 61 Show data context 63 Show data context 81 Show data context 87 Show data context 339 Show data context 690 Show data context 540 Show data context 357 Show data context 211 Show data context 84 Show data context
Transport 26 Show data context 50 Show data context 343 Show data context 278 Show data context 192 Show data context 171 Show data context 153 Show data context 190 Show data context 1,021 Show data context 2,261 Show data context 1,851 Show data context 1,499 Show data context 884 Show data context 277 Show data context
Agriculture 3 Show data context 9 Show data context 305 Show data context 522 Show data context 666 Show data context 671 Show data context 592 Show data context 526 Show data context 2,113 Show data context 2,783 Show data context 2,377 Show data context 2,187 Show data context 1,702 Show data context 1,210 Show data context
Mines & Quarries
Metals, Machines 0 Show data context 2 Show data context 181 Show data context 311 Show data context 378 Show data context 469 Show data context 517 Show data context 575 Show data context 2,529 Show data context 4,211 Show data context 3,199 Show data context 2,109 Show data context 1,416 Show data context 488 Show data context
Jewelry, Instruments 0 Show data context 2 Show data context 85 Show data context 171 Show data context 204 Show data context 265 Show data context 270 Show data context 292 Show data context 1,116 Show data context 1,988 Show data context 1,602 Show data context 1,229 Show data context 835 Show data context 344 Show data context
Building 0 Show data context 0 Show data context 2 Show data context 12 Show data context 11 Show data context 12 Show data context 7 Show data context 9 Show data context 40 Show data context 66 Show data context 63 Show data context 54 Show data context 30 Show data context 13 Show data context
Wood, Furniture 0 Show data context 0 Show data context 53 Show data context 81 Show data context 128 Show data context 122 Show data context 120 Show data context 130 Show data context 778 Show data context 1,446 Show data context 1,064 Show data context 1,044 Show data context 809 Show data context 370 Show data context
Brick, Cement 0 Show data context 2 Show data context 18 Show data context 26 Show data context 35 Show data context 29 Show data context 30 Show data context 28 Show data context 147 Show data context 236 Show data context 186 Show data context 149 Show data context 134 Show data context 62 Show data context
Chemicals 0 Show data context 0 Show data context 12 Show data context 12 Show data context 13 Show data context 9 Show data context 12 Show data context 11 Show data context 52 Show data context 98 Show data context 65 Show data context 39 Show data context 36 Show data context 10 Show data context
Skins, Leather 0 Show data context 1 Show data context 7 Show data context 11 Show data context 14 Show data context 19 Show data context 13 Show data context 8 Show data context 48 Show data context 75 Show data context 86 Show data context 48 Show data context 31 Show data context 11 Show data context
Paper, Prints 0 Show data context 0 Show data context 2 Show data context 11 Show data context 12 Show data context 10 Show data context 14 Show data context 20 Show data context 68 Show data context 155 Show data context 113 Show data context 89 Show data context 59 Show data context 26 Show data context
Textile Fabrics 1 Show data context 0 Show data context 30 Show data context 45 Show data context 42 Show data context 42 Show data context 34 Show data context 27 Show data context 138 Show data context 220 Show data context 217 Show data context 123 Show data context 64 Show data context 33 Show data context
Dress 1 Show data context 2 Show data context 52 Show data context 96 Show data context 96 Show data context 110 Show data context 88 Show data context 91 Show data context 251 Show data context 391 Show data context 331 Show data context 249 Show data context 146 Show data context 68 Show data context
Food, Drink 2 Show data context 6 Show data context 42 Show data context 64 Show data context 90 Show data context 87 Show data context 90 Show data context 86 Show data context 318 Show data context 506 Show data context 450 Show data context 369 Show data context 300 Show data context 169 Show data context
Gas, Water 1 Show data context 2 Show data context 68 Show data context 150 Show data context 207 Show data context 160 Show data context 196 Show data context 196 Show data context 623 Show data context 1,205 Show data context 971 Show data context 759 Show data context 466 Show data context 252 Show data context
Other & Undefined 0 Show data context 0 Show data context 1 Show data context 1 Show data context 1 Show data context 2 Show data context 4 Show data context 4 Show data context 42 Show data context 88 Show data context 115 Show data context 74 Show data context 63 Show data context 32 Show data context
Unoccupied 9 Show data context 15 Show data context 52 Show data context 74 Show data context 93 Show data context 69 Show data context 94 Show data context 88 Show data context 446 Show data context 919 Show data context 798 Show data context 719 Show data context 554 Show data context 291 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 3 Show data context 6 Show data context 11 Show data context 9 Show data context 10 Show data context 52 Show data context 108 Show data context 64 Show data context 39 Show data context 33 Show data context 7 Show data context
Defence
Professional Occupations 2 Show data context 0 Show data context 6 Show data context 9 Show data context 18 Show data context 39 Show data context 48 Show data context 66 Show data context 565 Show data context 788 Show data context 349 Show data context 200 Show data context 102 Show data context 43 Show data context
Domestic Services 0 Show data context 7 Show data context 239 Show data context 521 Show data context 699 Show data context 734 Show data context 719 Show data context 723 Show data context 2,714 Show data context 2,199 Show data context 1,096 Show data context 863 Show data context 505 Show data context 273 Show data context
Commercial Occupations 0 Show data context 0 Show data context 4 Show data context 15 Show data context 24 Show data context 32 Show data context 37 Show data context 37 Show data context 114 Show data context 116 Show data context 26 Show data context 9 Show data context 7 Show data context 4 Show data context
Transport 1 Show data context 1 Show data context 11 Show data context 15 Show data context 9 Show data context 2 Show data context 4 Show data context 5 Show data context 10 Show data context 15 Show data context 17 Show data context 9 Show data context 6 Show data context 5 Show data context
Agriculture 0 Show data context 2 Show data context 55 Show data context 137 Show data context 128 Show data context 158 Show data context 138 Show data context 141 Show data context 530 Show data context 648 Show data context 332 Show data context 242 Show data context 212 Show data context 245 Show data context
Mines & Quarries
Metals, Machines 0 Show data context 0 Show data context 1 Show data context 5 Show data context 29 Show data context 39 Show data context 22 Show data context 20 Show data context 71 Show data context 44 Show data context 47 Show data context 22 Show data context 14 Show data context 3 Show data context
Jewelry, Instruments 0 Show data context 1 Show data context 33 Show data context 42 Show data context 31 Show data context 43 Show data context 30 Show data context 26 Show data context 101 Show data context 80 Show data context 14 Show data context 8 Show data context 3 Show data context 1 Show data context
Building 0 Show data context 0 Show data context 1 Show data context 0 Show data context 1 Show data context 3 Show data context 2 Show data context 0 Show data context 7 Show data context 12 Show data context 7 Show data context 5 Show data context 6 Show data context 0 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 1 Show data context 0 Show data context 0 Show data context 1 Show data context
Brick, Cement 0 Show data context 0 Show data context 0 Show data context 0 Show data context 7 Show data context 2 Show data context 3 Show data context 4 Show data context 10 Show data context 18 Show data context 14 Show data context 8 Show data context 8 Show data context 2 Show data context
Chemicals 0 Show data context 0 Show data context 0 Show data context 1 Show data context 1 Show data context 0 Show data context 1 Show data context 0 Show data context 2 Show data context 11 Show data context 3 Show data context 1 Show data context 5 Show data context 2 Show data context
Skins, Leather 0 Show data context 0 Show data context 0 Show data context 1 Show data context 1 Show data context 1 Show data context 2 Show data context 1 Show data context 7 Show data context 5 Show data context 0 Show data context 1 Show data context 2 Show data context 1 Show data context
Paper, Prints 0 Show data context 0 Show data context 0 Show data context 0 Show data context 1 Show data context 0 Show data context 1 Show data context 3 Show data context 3 Show data context 2 Show data context 3 Show data context 3 Show data context 0 Show data context 1 Show data context
Textile Fabrics 0 Show data context 0 Show data context 27 Show data context 43 Show data context 39 Show data context 42 Show data context 53 Show data context 50 Show data context 147 Show data context 91 Show data context 32 Show data context 31 Show data context 16 Show data context 7 Show data context
Dress 0 Show data context 2 Show data context 98 Show data context 164 Show data context 174 Show data context 203 Show data context 179 Show data context 161 Show data context 529 Show data context 415 Show data context 204 Show data context 157 Show data context 78 Show data context 37 Show data context
Food, Drink 1 Show data context 2 Show data context 75 Show data context 175 Show data context 264 Show data context 293 Show data context 262 Show data context 261 Show data context 843 Show data context 895 Show data context 475 Show data context 284 Show data context 169 Show data context 106 Show data context
Gas, Water 0 Show data context 1 Show data context 87 Show data context 147 Show data context 157 Show data context 191 Show data context 183 Show data context 133 Show data context 666 Show data context 757 Show data context 635 Show data context 661 Show data context 504 Show data context 320 Show data context
Other & Undefined
Unoccupied 0 Show data context 0 Show data context 7 Show data context 19 Show data context 29 Show data context 11 Show data context 18 Show data context 21 Show data context 64 Show data context 94 Show data context 68 Show data context 69 Show data context 56 Show data context 39 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, Cumberland AdmC 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/10134810/cube/OCC_ORD1911_AGESEX

Date accessed: 27th April 2024