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 0 Show data context 19 Show data context 21 Show data context 12 Show data context 12 Show data context 9 Show data context 10 Show data context 73 Show data context 240 Show data context 179 Show data context 100 Show data context 37 Show data context 21 Show data context
Defence 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 1 Show data context 8 Show data context 9 Show data context 11 Show data context 4 Show data context 2 Show data context 1 Show data context
Professional Occupations 1 Show data context 0 Show data context 10 Show data context 25 Show data context 22 Show data context 29 Show data context 20 Show data context 28 Show data context 154 Show data context 357 Show data context 325 Show data context 183 Show data context 86 Show data context 45 Show data context
Domestic Services 1 Show data context 0 Show data context 8 Show data context 2 Show data context 10 Show data context 8 Show data context 8 Show data context 6 Show data context 38 Show data context 100 Show data context 87 Show data context 64 Show data context 49 Show data context 30 Show data context
Commercial Occupations 0 Show data context 1 Show data context 19 Show data context 45 Show data context 60 Show data context 67 Show data context 65 Show data context 76 Show data context 331 Show data context 582 Show data context 420 Show data context 279 Show data context 181 Show data context 67 Show data context
Transport 29 Show data context 56 Show data context 345 Show data context 267 Show data context 149 Show data context 128 Show data context 115 Show data context 113 Show data context 621 Show data context 1,542 Show data context 1,349 Show data context 985 Show data context 639 Show data context 253 Show data context
Agriculture 0 Show data context 0 Show data context 2 Show data context 13 Show data context 10 Show data context 7 Show data context 3 Show data context 11 Show data context 39 Show data context 46 Show data context 44 Show data context 46 Show data context 32 Show data context 24 Show data context
Mines & Quarries
Metals, Machines 0 Show data context 0 Show data context 100 Show data context 181 Show data context 178 Show data context 163 Show data context 149 Show data context 119 Show data context 436 Show data context 760 Show data context 582 Show data context 343 Show data context 217 Show data context 69 Show data context
Jewelry, Instruments 0 Show data context 1 Show data context 216 Show data context 408 Show data context 520 Show data context 478 Show data context 527 Show data context 545 Show data context 2,418 Show data context 3,994 Show data context 3,320 Show data context 2,295 Show data context 1,388 Show data context 530 Show data context
Building 0 Show data context 0 Show data context 3 Show data context 7 Show data context 5 Show data context 9 Show data context 11 Show data context 9 Show data context 26 Show data context 63 Show data context 40 Show data context 33 Show data context 24 Show data context 5 Show data context
Wood, Furniture 0 Show data context 0 Show data context 24 Show data context 43 Show data context 66 Show data context 84 Show data context 86 Show data context 84 Show data context 507 Show data context 923 Show data context 569 Show data context 516 Show data context 350 Show data context 125 Show data context
Brick, Cement 0 Show data context 0 Show data context 16 Show data context 27 Show data context 36 Show data context 27 Show data context 25 Show data context 33 Show data context 134 Show data context 248 Show data context 192 Show data context 154 Show data context 104 Show data context 42 Show data context
Chemicals 0 Show data context 0 Show data context 13 Show data context 14 Show data context 27 Show data context 26 Show data context 28 Show data context 28 Show data context 79 Show data context 135 Show data context 127 Show data context 97 Show data context 79 Show data context 38 Show data context
Skins, Leather 0 Show data context 0 Show data context 2 Show data context 3 Show data context 11 Show data context 8 Show data context 7 Show data context 7 Show data context 24 Show data context 54 Show data context 64 Show data context 32 Show data context 18 Show data context 12 Show data context
Paper, Prints 0 Show data context 0 Show data context 0 Show data context 2 Show data context 0 Show data context 2 Show data context 0 Show data context 0 Show data context 2 Show data context 17 Show data context 10 Show data context 10 Show data context 15 Show data context 3 Show data context
Textile Fabrics 0 Show data context 0 Show data context 9 Show data context 13 Show data context 18 Show data context 21 Show data context 18 Show data context 14 Show data context 59 Show data context 103 Show data context 92 Show data context 74 Show data context 40 Show data context 17 Show data context
Dress 0 Show data context 0 Show data context 17 Show data context 20 Show data context 27 Show data context 22 Show data context 11 Show data context 16 Show data context 70 Show data context 120 Show data context 82 Show data context 52 Show data context 33 Show data context 15 Show data context
Food, Drink 5 Show data context 5 Show data context 18 Show data context 25 Show data context 31 Show data context 36 Show data context 22 Show data context 23 Show data context 110 Show data context 241 Show data context 200 Show data context 129 Show data context 78 Show data context 39 Show data context
Gas, Water 1 Show data context 1 Show data context 44 Show data context 79 Show data context 84 Show data context 111 Show data context 103 Show data context 105 Show data context 398 Show data context 736 Show data context 642 Show data context 386 Show data context 230 Show data context 84 Show data context
Other & Undefined 0 Show data context 0 Show data context 1 Show data context 3 Show data context 1 Show data context 1 Show data context 5 Show data context 3 Show data context 26 Show data context 124 Show data context 117 Show data context 108 Show data context 64 Show data context 21 Show data context
Unoccupied 37 Show data context 22 Show data context 23 Show data context 34 Show data context 38 Show data context 41 Show data context 46 Show data context 51 Show data context 246 Show data context 544 Show data context 469 Show data context 366 Show data context 250 Show data context 112 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 0 Show data context 2 Show data context 5 Show data context 7 Show data context 2 Show data context 34 Show data context 43 Show data context 21 Show data context 15 Show data context 2 Show data context 0 Show data context
Defence
Professional Occupations 2 Show data context 1 Show data context 3 Show data context 4 Show data context 7 Show data context 15 Show data context 38 Show data context 36 Show data context 320 Show data context 469 Show data context 195 Show data context 113 Show data context 63 Show data context 16 Show data context
Domestic Services 1 Show data context 5 Show data context 101 Show data context 200 Show data context 332 Show data context 383 Show data context 461 Show data context 435 Show data context 1,569 Show data context 1,078 Show data context 572 Show data context 422 Show data context 237 Show data context 76 Show data context
Commercial Occupations 0 Show data context 0 Show data context 3 Show data context 7 Show data context 26 Show data context 38 Show data context 26 Show data context 28 Show data context 137 Show data context 97 Show data context 16 Show data context 17 Show data context 15 Show data context 3 Show data context
Transport 0 Show data context 2 Show data context 13 Show data context 19 Show data context 13 Show data context 8 Show data context 3 Show data context 1 Show data context 15 Show data context 9 Show data context 5 Show data context 2 Show data context 3 Show data context 3 Show data context
Agriculture 0 Show data context 0 Show data context 1 Show data context 0 Show data context 3 Show data context 1 Show data context 1 Show data context 0 Show data context 8 Show data context 8 Show data context 8 Show data context 18 Show data context 9 Show data context 1 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 1 Show data context 0 Show data context 0 Show data context 3 Show data context 0 Show data context
Jewelry, Instruments 0 Show data context 0 Show data context 1 Show data context 6 Show data context 7 Show data context 12 Show data context 13 Show data context 8 Show data context 47 Show data context 29 Show data context 6 Show data context 2 Show data context 6 Show data context 1 Show data context
Building 0 Show data context 0 Show data context 2 Show data context 4 Show data context 6 Show data context 6 Show data context 2 Show data context 4 Show data context 11 Show data context 5 Show data context 1 Show data context 1 Show data context 0 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 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 3 Show data context 11 Show data context 5 Show data context 4 Show data context 7 Show data context 16 Show data context 16 Show data context 13 Show data context 8 Show data context 9 Show data context 4 Show data context
Chemicals 0 Show data context 0 Show data context 0 Show data context 5 Show data context 4 Show data context 9 Show data context 5 Show data context 13 Show data context 40 Show data context 12 Show data context 3 Show data context 4 Show data context 2 Show data context 0 Show data context
Skins, Leather 0 Show data context 0 Show data context 1 Show data context 2 Show data context 4 Show data context 3 Show data context 3 Show data context 3 Show data context 9 Show data context 5 Show data context 4 Show data context 5 Show data context 0 Show data context 0 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 1 Show data context 2 Show data context 0 Show data context 3 Show data context 1 Show data context 1 Show data context 2 Show data context 1 Show data context 2 Show data context
Textile Fabrics 0 Show data context 0 Show data context 4 Show data context 8 Show data context 25 Show data context 20 Show data context 17 Show data context 14 Show data context 69 Show data context 50 Show data context 22 Show data context 13 Show data context 8 Show data context 6 Show data context
Dress 0 Show data context 0 Show data context 14 Show data context 36 Show data context 48 Show data context 59 Show data context 74 Show data context 88 Show data context 261 Show data context 141 Show data context 58 Show data context 32 Show data context 14 Show data context 3 Show data context
Food, Drink 0 Show data context 0 Show data context 65 Show data context 139 Show data context 146 Show data context 129 Show data context 135 Show data context 130 Show data context 470 Show data context 423 Show data context 209 Show data context 134 Show data context 73 Show data context 49 Show data context
Gas, Water 0 Show data context 0 Show data context 22 Show data context 45 Show data context 81 Show data context 89 Show data context 91 Show data context 96 Show data context 373 Show data context 390 Show data context 276 Show data context 265 Show data context 156 Show data context 78 Show data context
Other & Undefined
Unoccupied 0 Show data context 0 Show data context 5 Show data context 29 Show data context 16 Show data context 23 Show data context 27 Show data context 22 Show data context 77 Show data context 79 Show data context 70 Show data context 90 Show data context 62 Show data context 31 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, Sunderland MB/CB 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/10136830/cube/OCC_ORD1911_AGESEX

Date accessed: 19th May 2024