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 5 Show data context 14 Show data context 19 Show data context 10 Show data context 13 Show data context 18 Show data context 8 Show data context 92 Show data context 226 Show data context 203 Show data context 102 Show data context 52 Show data context 27 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 2 Show data context 2 Show data context 10 Show data context 17 Show data context 21 Show data context 6 Show data context 5 Show data context 7 Show data context
Professional Occupations 0 Show data context 0 Show data context 9 Show data context 19 Show data context 18 Show data context 23 Show data context 26 Show data context 25 Show data context 128 Show data context 343 Show data context 332 Show data context 305 Show data context 200 Show data context 119 Show data context
Domestic Services 7 Show data context 32 Show data context 78 Show data context 72 Show data context 91 Show data context 85 Show data context 80 Show data context 79 Show data context 339 Show data context 609 Show data context 524 Show data context 429 Show data context 248 Show data context 126 Show data context
Commercial Occupations 0 Show data context 1 Show data context 10 Show data context 19 Show data context 38 Show data context 28 Show data context 33 Show data context 35 Show data context 165 Show data context 327 Show data context 238 Show data context 140 Show data context 85 Show data context 34 Show data context
Transport 15 Show data context 50 Show data context 166 Show data context 175 Show data context 151 Show data context 136 Show data context 108 Show data context 100 Show data context 446 Show data context 829 Show data context 706 Show data context 513 Show data context 323 Show data context 116 Show data context
Agriculture 3 Show data context 263 Show data context 410 Show data context 438 Show data context 485 Show data context 457 Show data context 418 Show data context 392 Show data context 1,656 Show data context 2,738 Show data context 2,386 Show data context 2,141 Show data context 1,644 Show data context 1,446 Show data context
Mines & Quarries
Metals, Machines 0 Show data context 1 Show data context 2 Show data context 0 Show data context 1 Show data context 3 Show data context 4 Show data context 3 Show data context 10 Show data context 46 Show data context 42 Show data context 42 Show data context 38 Show data context 17 Show data context
Jewelry, Instruments 0 Show data context 2 Show data context 9 Show data context 34 Show data context 43 Show data context 61 Show data context 67 Show data context 48 Show data context 250 Show data context 359 Show data context 326 Show data context 255 Show data context 144 Show data context 76 Show data context
Building 0 Show data context 0 Show data context 4 Show data context 14 Show data context 7 Show data context 15 Show data context 14 Show data context 10 Show data context 45 Show data context 72 Show data context 61 Show data context 28 Show data context 16 Show data context 11 Show data context
Wood, Furniture 0 Show data context 4 Show data context 14 Show data context 25 Show data context 41 Show data context 55 Show data context 63 Show data context 71 Show data context 384 Show data context 965 Show data context 804 Show data context 722 Show data context 523 Show data context 272 Show data context
Brick, Cement 0 Show data context 1 Show data context 4 Show data context 5 Show data context 14 Show data context 9 Show data context 6 Show data context 19 Show data context 54 Show data context 118 Show data context 115 Show data context 69 Show data context 57 Show data context 33 Show data context
Chemicals 0 Show data context 0 Show data context 3 Show data context 4 Show data context 10 Show data context 15 Show data context 9 Show data context 16 Show data context 69 Show data context 144 Show data context 137 Show data context 97 Show data context 47 Show data context 17 Show data context
Skins, Leather 0 Show data context 0 Show data context 2 Show data context 1 Show data context 7 Show data context 6 Show data context 5 Show data context 4 Show data context 27 Show data context 49 Show data context 37 Show data context 23 Show data context 19 Show data context 3 Show data context
Paper, Prints 0 Show data context 1 Show data context 3 Show data context 2 Show data context 8 Show data context 2 Show data context 5 Show data context 4 Show data context 24 Show data context 46 Show data context 34 Show data context 38 Show data context 39 Show data context 27 Show data context
Textile Fabrics 0 Show data context 3 Show data context 32 Show data context 32 Show data context 35 Show data context 39 Show data context 40 Show data context 32 Show data context 137 Show data context 184 Show data context 163 Show data context 115 Show data context 73 Show data context 38 Show data context
Dress 0 Show data context 0 Show data context 3 Show data context 5 Show data context 11 Show data context 7 Show data context 8 Show data context 13 Show data context 36 Show data context 66 Show data context 46 Show data context 33 Show data context 18 Show data context 10 Show data context
Food, Drink 0 Show data context 4 Show data context 15 Show data context 26 Show data context 23 Show data context 24 Show data context 33 Show data context 31 Show data context 151 Show data context 216 Show data context 261 Show data context 171 Show data context 146 Show data context 109 Show data context
Gas, Water 0 Show data context 10 Show data context 39 Show data context 88 Show data context 96 Show data context 124 Show data context 120 Show data context 132 Show data context 535 Show data context 826 Show data context 828 Show data context 589 Show data context 378 Show data context 201 Show data context
Other & Undefined 0 Show data context 0 Show data context 0 Show data context 0 Show data context 2 Show data context 3 Show data context 7 Show data context 3 Show data context 18 Show data context 69 Show data context 60 Show data context 42 Show data context 30 Show data context 10 Show data context
Unoccupied 14 Show data context 20 Show data context 26 Show data context 27 Show data context 27 Show data context 21 Show data context 34 Show data context 33 Show data context 183 Show data context 388 Show data context 413 Show data context 299 Show data context 222 Show data context 140 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 2 Show data context 4 Show data context 5 Show data context 6 Show data context 11 Show data context 33 Show data context 55 Show data context 29 Show data context 29 Show data context 13 Show data context 5 Show data context
Defence
Professional Occupations 0 Show data context 0 Show data context 9 Show data context 8 Show data context 15 Show data context 23 Show data context 38 Show data context 47 Show data context 258 Show data context 464 Show data context 257 Show data context 144 Show data context 101 Show data context 38 Show data context
Domestic Services 0 Show data context 72 Show data context 285 Show data context 423 Show data context 497 Show data context 550 Show data context 507 Show data context 469 Show data context 1,871 Show data context 1,510 Show data context 941 Show data context 764 Show data context 516 Show data context 286 Show data context
Commercial Occupations 0 Show data context 0 Show data context 2 Show data context 9 Show data context 18 Show data context 25 Show data context 9 Show data context 10 Show data context 50 Show data context 56 Show data context 19 Show data context 10 Show data context 5 Show data context 0 Show data context
Transport 2 Show data context 1 Show data context 4 Show data context 0 Show data context 3 Show data context 0 Show data context 3 Show data context 0 Show data context 3 Show data context 4 Show data context 7 Show data context 7 Show data context 5 Show data context 2 Show data context
Agriculture 1 Show data context 4 Show data context 7 Show data context 24 Show data context 11 Show data context 13 Show data context 8 Show data context 12 Show data context 49 Show data context 46 Show data context 44 Show data context 31 Show data context 23 Show data context 41 Show data context
Mines & Quarries
Metals, Machines 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 1 Show data context 0 Show data context 3 Show data context
Jewelry, Instruments 0 Show data context 0 Show data context 0 Show data context 2 Show data context 0 Show data context 1 Show data context 1 Show data context 1 Show data context 4 Show data context 2 Show data context 3 Show data context 2 Show data context 1 Show data context 0 Show data context
Building 0 Show data context 0 Show data context 0 Show data context 0 Show data context 1 Show data context 2 Show data context 0 Show data context 5 Show data context 3 Show data context 4 Show data context 1 Show data context 3 Show data context 4 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 0 Show data context 1 Show data context 0 Show data context 0 Show data context
Brick, Cement 0 Show data context 0 Show data context 2 Show data context 2 Show data context 1 Show data context 2 Show data context 0 Show data context 1 Show data context 8 Show data context 10 Show data context 4 Show data context 2 Show data context 8 Show data context 5 Show data context
Chemicals 0 Show data context 0 Show data context 0 Show data context 2 Show data context 0 Show data context 0 Show data context 1 Show data context 1 Show data context 3 Show data context 2 Show data context 2 Show data context 1 Show data context 2 Show data context 0 Show data context
Skins, Leather 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 1 Show data context 3 Show data context 2 Show data context 0 Show data context 1 Show data context 0 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 0 Show data context 0 Show data context 0 Show data context 0 Show data context 1 Show data context 6 Show data context 6 Show data context 4 Show data context 6 Show data context 2 Show data context
Textile Fabrics 0 Show data context 1 Show data context 10 Show data context 12 Show data context 8 Show data context 12 Show data context 13 Show data context 13 Show data context 33 Show data context 43 Show data context 28 Show data context 18 Show data context 25 Show data context 1 Show data context
Dress 0 Show data context 0 Show data context 10 Show data context 15 Show data context 34 Show data context 20 Show data context 22 Show data context 27 Show data context 89 Show data context 63 Show data context 27 Show data context 15 Show data context 10 Show data context 4 Show data context
Food, Drink 0 Show data context 7 Show data context 56 Show data context 98 Show data context 101 Show data context 107 Show data context 98 Show data context 90 Show data context 412 Show data context 389 Show data context 257 Show data context 188 Show data context 112 Show data context 71 Show data context
Gas, Water 0 Show data context 1 Show data context 8 Show data context 29 Show data context 34 Show data context 47 Show data context 53 Show data context 66 Show data context 272 Show data context 288 Show data context 341 Show data context 344 Show data context 297 Show data context 208 Show data context
Other & Undefined
Unoccupied 0 Show data context 0 Show data context 5 Show data context 6 Show data context 1 Show data context 7 Show data context 6 Show data context 2 Show data context 28 Show data context 26 Show data context 19 Show data context 21 Show data context 17 Show data context 22 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, Cambridgeshire 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/10025072/cube/OCC_ORD1911_AGESEX

Date accessed: 27th May 2024